Advances in Engineering Research : Possibilities and Challenges
type: channel
description: Advances in Engineering Research : Possibilities and Challenges ISSN Print: 3079-5192 ISSN Online: 3079-5206
language: en
publication name: Advances in Engineering Research : Possibilities and Challenges
items: Research on the Influence of Magnetron Sputtering parameters on the Structure and Properties of ITO Thin Films
items: Overview of Coalbed Methane Mining and Envi-ronmental Impacts
items: Numerical Solving Strategy for High-Energy Laser Thermal Management Based on the Nonlinear Heat Conduction Equation
items: Research on Bolt-Cable Reinforcement Support Technology for Gob-Side Entry Retaining in "Three-Soft" Coal Seams
items: Study on vibration isolation effect of different vibration isolation structures
items: Research on Optimization of Roadway Support in Metal Mines Based on Engineering Safety
items: Self-healing test of concrete mixed with permeable crystalline materials
items: An Elliptical Envelope-Based Method for Casing Corrosion Diagnosis
items: The potential power of ecological value visualization for the sustainable development to industrialized cities by combing ArcGIS and GeoSOS-FLUS: A case study in Jingmen
items: Stability analysis of a landslide based on FLAC 3D
items: Research on Real time Acquisition System Based on Binocular Stereoscopic Vision
items: Multifunctional Intelligent Water Curtain Air Cabinet
items: Architectural Choice in Inverse Design of THz Metamaterials: Local Priors vs. Global Attention under Data Scarcity
items: Spatio-Temporal Simulation and Change Analysis of Land Use on the Qinghai-Tibet Plateau Under Future Scenarios
items: Accuracy and Challenges of Machine Learning in Predicting Carbon Emissions from Coal-Fired Power Plants: An Analysis Based on Load Variations
items: Research on System Optimization and Decision-Making for Building Industrialization Chain Focused on Carbon and Waste Reduction
items: Multivariate Data Fusion and Health Analysis of Coal Processing Facilities
items: Data-Driven Inverse Design of THz Metamaterials: A Deep Learning Approach for Small-Data Regimes
items: Retraction: Research Progress on Novel Water-Soluble Lubricant Additives
items: Research on Welding Methods of Monel Alloy
items: AKCD: An Attention-Driven Framework with Kernel Conditional Independence Testing for Time Series Causal Discovery
items: Simulation of Thermal Barrier Layer Effects on Cu/PI Structures for Flexible Film Antenna Fabrication
items: Modeling of Urban Road Vehicle Exhaust Emission Laws and Comprehensive Analysis Under Accident Scenarios
items: Grating structures are fabricated inside glass based on femtosecond laser parallel processing technology
items: Tribological properties of CF/PEEK paired with different metals
items: Experimental Study on Dynamic Modulation Op-timization of Micro-Hole Morphology in Wa-ter-Assisted Laser Drilling
items: Study on micro-hole morphology of Ni-based superalloy optimized by pulse-delay dynamic modulation of nanosecond laser
items: From Grid-Following to Grid-Forming: A Review of Converter Technology Paradigm Shift and Its Applications in Renewable-Rich Power Systems
items: Evaluation and Suggestions on Logistics Level of Yangtze River Delta Urban Agglomeration Based on Factor Analysis and Cluster Analysis
items: Wear Prediction for Helical Gears Used in EMU

Research on the Influence of Magnetron Sputtering parameters on the Structure and Properties of ITO Thin Films
type: item
description: This study systematically investigates the influence of key magnetron sputtering parameters—working pressure, sputtering power, and nitrogen doping—on the growth, microstructure, and functional properties of indium tin oxide (ITO) thin films. Through a designed experimental matrix, the deposition kinetics, crystallographic structure, chemical bonding states, and electrical resistivity were characterized to establish clear process-structure-property relationships. The results reveal that increasing the working pressure enhances oxygen vacancy concentration, which dominates the reduction in electrical resistivity despite a degradation in crystallinity. Higher sputtering power improves film crystallinity and dopant activation, synergistically optimizing carrier mobility and concentration. Nitrogen incorporation introduces complex doping effects, initially passivating oxygen vacancies to lower resistivity at low partial pressure but forming carrier-trapping nitride phases at higher levels, leading to increased resistivity and amorphization. This work provides a mechanistic understanding of parameter-controlled defect engineering and microstructure evolution in ITO films, offering practical guidance for tailoring their optoelectronic performance for advanced transparent electrode applications.
subject: Articles
  topic: section
subject: ITO thin films
  topic: keywords
subject: Magnetron sputtering
  topic: keywords
subject: Structure
  topic: keywords
subject: Properties
  topic: keywords
creator: Dongfeng Ma
creator: PengCheng Zhang
creator: Dunzhu GeSang
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2026-01-31
publication date: 2026-01-31
starting page: 60
ending page: 74
doi: 10.63313/AERpc.9073

Overview of Coalbed Methane Mining and Envi-ronmental Impacts
type: item
description: Coalbed methane extraction holds significant importance in the energy sector, yet its extraction process and potential environmental impacts cannot be overlooked. This paper reviews the current state of coalbed methane extraction technology and its environmental implications. Through analysis of coalbed methane formation, extraction techniques, resource distribution, and environmental effects, it summarizes the challenges facing coalbed methane extraction today and future development trends. Subsequently, it discusses potential environmental issues arising from CBM extraction, such as increased geological hazard risks and groundwater contamination. To address these concerns, the paper outlines common environmental protection measures and technical approaches, including water resource management and methane emission control. Subsequently, the environmental impacts of coalbed methane extraction are explored in depth, ex-amining both the consistency and discrepancies among different studies. Finally, future research directions are proposed, including improvements in environmental monitoring technologies, refinement of environmental management policies, and the development of novel eco-friendly technologies.
subject: Articles
  topic: section
subject: Coalbed methane extraction
  topic: keywords
subject: Water pollution
  topic: keywords
subject: Methane
  topic: keywords
subject: New environmentally friendly
  topic: keywords
creator: Yufen Zhu
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2026-01-28
publication date: 2026-01-28
starting page: 50
ending page: 59
doi: 10.63313/AERpc.9072

Numerical Solving Strategy for High-Energy Laser Thermal Management Based on the Nonlinear Heat Conduction Equation
type: item
description: High-energy laser systems are fundamental to modern advanced manufacturing and defense engineering, where effective thermal management is the key bottleneck limiting beam quality and operational longevity. This paper presents a robust numerical framework for simulating transient temperature fields in laser gain media, governed by a nonlinear parabolic partial differential equation (PDE). We first establish a comprehensive thermophysical model incorporating conductive heat transfer, convective boundary cooling, and crucially, the temperature-dependent thermal conductivity of the solid-state crystal (e.g., YAG or Sapphire). This results in a nonlinear heat conduction equation. For its numerical solution, an implicit Finite Difference Method (FDM) scheme is implemented, ensuring unconditional stability for the stiff problem arising from intense internal heat generation. A predictor-corrector iteration is designed to handle the nonlinearity introduced by the variable conductivity. Applied to a simplified cylindrical laser rod geometry, the model successfully simulates the evolution of temperature and thermal stress under pulsed operation. The numerical solution reveals a significant thermal lensing effect, with a maximum temperature rise of 152.3 K and a corresponding focal power of 0.85 m⁻¹. Comparative analysis demonstrates that neglecting the nonlinearity (assuming constant conductivity) leads to a 12.7% underestimation of the peak temperature and a mischaracterization of the stress profile. This work provides a reliable and adaptable computational tool for the design and optimization of thermal management systems in high-power laser engineering, highlighting the critical role of applied mathematics in tackling complex multiphysics challenges.
subject: Articles
  topic: section
subject: Nonlinear Heat Conduction Equation
  topic: keywords
subject: Finite Difference Method
  topic: keywords
subject: Predictor-Corrector Scheme
  topic: keywords
subject: Thermal Management
  topic: keywords
subject: High-Energy Lasers
  topic: keywords
subject: Numerical Simulation
  topic: keywords
creator: Qihang Hu
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2026-01-16
publication date: 2026-01-16
starting page: 39
ending page: 42
doi: 10.63313/AERpc.9070

Research on Bolt-Cable Reinforcement Support Technology for Gob-Side Entry Retaining in "Three-Soft" Coal Seams
type: item
description: This paper focuses on the application of the gob-side entry retaining technology under complex surrounding rock conditions in "Three-Soft" coal seams. Numerical analysis was conducted using FLAC to study the ground pressure behavior before and after gob-side entry retention in such seams. The research shows that when applying gob-side entry retaining technology under complex roof conditions in "Three-Soft" coal seams, roof subsidence is difficult to control. By utilizing surrounding rock control technology and combined bolt-cable reinforcement support technology, the bearing capacity of the surrounding rock is fully mobilized. This enables the bolts, cables, and surrounding rock to jointly support the roof, thereby reducing excessive subsidence of the retained entry roof. Under reasonable roadway support conditions, the gob-side entry retaining technology proves to be effective and significantly improves mining efficiency.
subject: Articles
  topic: section
subject:
  topic: keywords
subject: Gob-side entry retaining
  topic: keywords
subject: Surrounding rock control technology
  topic: keywords
subject: Combined bolt-cable reinforcement support technology
  topic: keywords
creator: Qi Li
creator: Xiaolong Wang
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2026-01-14
publication date: 2026-01-14
starting page: 27
ending page: 38
doi: 10.63313/AERpc.9069

Study on vibration isolation effect of different vibration isolation structures
type: item
description: This study investigates the effectiveness of open, EPS-filled, and sand-filled trenches in isolating ground vibrations using the finite element numerical sim-ulation method. A three-dimensional finite element model was established to analyze the attenuation of vibration acceleration induced by different barrier types. The isolation performance was evaluated based on the amplitude attenua-tion coefficient and the average amplitude attenuation coefficient. The results indicate that the vibration isolation effect of all three trench types decreases approximately linearly with increasing distance from the vibration source, with better performance observed in the near field compared to the far field. Under identical conditions, the open trench provides the best overall vibration isola-tion, followed by the EPS-filled trench, while the sand-filled trench performs the least effectively. The corresponding average amplitude attenuation coefficients are 0.823, 0.686, and 0.626, respectively. Further analysis reveals that filling material reduces the barrier's isolation efficiency, particularly in the far field, where vibration attenuation remains significant but the relative isolation effect is diminished.
subject: Articles
  topic: section
subject: vibration isolation
  topic: keywords
subject: open trench
  topic: keywords
subject: filled trench
  topic: keywords
subject: finite element method
  topic: keywords
subject: ground vibration
  topic: keywords
creator: Yunlong Han
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2026-01-12
publication date: 2026-01-12
starting page: 18
ending page: 25
doi: 10.63313/AERpc.9068

Research on Optimization of Roadway Support in Metal Mines Based on Engineering Safety
type: item
description: Aiming at the problem of roadway support stability under complex geological conditions in deep metal mines, this study takes Ma cheng Iron Mine, one of the largest underground iron mines under construction in China, as the research object. It systematically analyzes the failure mechanism of the roadway support system during multi-level mining and proposes an optimization scheme based on the collaborative support theory. A hierarchical bolt-mesh-shotcrete + anchor cable + steel arch frame collaborative support system is established: low-prestress resin bolts (anchoring force 180kN) and high-strength steel mesh (mesh density 100×100mm) are introduced, anchor cable parameters are optimized (Φ21.8mm, prestress 250kN), and a dynamic support adjustment mechanism is constructed. The research results provide theoretical basis and technical support for the safe and efficient mining of deep metal mines.
subject: Articles
  topic: section
subject: Deep mining
  topic: keywords
subject: Roadway support optimization
  topic: keywords
subject: Collaborative support
  topic: keywords
subject: Blasting disturbance control
  topic: keywords
creator: Xiaolong Wang
creator: Qi Li
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2026-01-12
publication date: 2026-01-12
starting page: 6
ending page: 17
doi: 10.63313/AERpc.9067

Self-healing test of concrete mixed with permeable crystalline materials
type: item
description: Concrete is a core component of infrastructure. Owing to its low tensile strength and exposure to complex service environments, it is prone to cracking, which seriously impairs the durability and safety of structures. Traditional repair techniques suffer from drawbacks such as high cost and low efficiency, while the self-healing technology of concrete slabs provides a new approach by simulating biological self-healing mechanisms to achieve autonomous crack repair.
subject: Articles
  topic: section
subject: Concrete
  topic: keywords
subject: Crack repair
  topic: keywords
subject: Self-healing
  topic: keywords
subject: Durability
  topic: keywords
creator: Peng Yang
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2026-01-12
publication date: 2026-01-12
starting page: 1
ending page: 5
doi: 10.63313/AERpc.9066

An Elliptical Envelope-Based Method for Casing Corrosion Diagnosis
type: item
description: Casing corrosion leading to wall thinning or perforation poses a major threat to wellbore integrity, highlighting the urgent need for accurate corrosion diagnosis technology. To address this, this study proposes a casing corrosion diagnosis method based on the EllipticEnvelope anomaly detection algorithm. Utilizing well logging data, the method establishes a robust covariance estimation model via the EllipticEnvelope algorithm to effectively identify corrosion-related anomalies. Taking the data from Well XX in the Ordos Basin as an example, the proposed method achieved a detection accuracy of 92.3%. Compared to the Isolation Forest and threshold methods, this represents an improvement of 12.42% and 31.48%, respectively. The results demonstrate that the method can identify casing corrosion more effectively, providing a reliable technical means for downhole condition assessment.
subject: Articles
  topic: section
subject: EE
  topic: keywords
subject: Outlier Detection
  topic: keywords
subject: Feature Extraction
  topic: keywords
subject: Casing Corrosion Diagnosis
  topic: keywords
creator: Guoao Li
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2026-01-19
publication date: 2026-01-19
starting page: 43
ending page: 49
doi: 10.63313/AERpc.9071

The potential power of ecological value visualization for the sustainable development to industrialized cities by combing ArcGIS and GeoSOS-FLUS: A case study in Jingmen
type: item
description: Land-use change has an impact on the value of ecosystem services. To uncover the relationship that has guiding significance for achieving ecological protection and coordinated socio-economic development in industrialized City. Based on the interpretation results of land use data from 2000 to 2020, the land use transfer matrix was established to analyze the characteristics of land-use changes in Jingmen. The ecosystem service values (ESV) was estimated using the equivalent factor method, in order to illustrating the spatiotemporal characteristics of land use change and ESV, ArcGIS software and the natural break-point method were employed. Results showed that：(1) From 2000 to 2020, the amount of cultivated land, forest land and grass land decreased following the construction land increased. The conversion of cultivated land to construction land is the most important way of land-use transfer. (2) The change of ESV showed a slow upward trend to a gradual downward trend. Among the single ecosystem services, regulation services held the main position. The spatial distribution of ESV did present the scattered distribution in low, medium, and high ecological value service area, and high value areas mainly distributed in areas of river and lake. (3) The simulating results of the land use pattern by GeoSOS-FLUS model showed the ecological service system rises 9.85% compared to 2020.
subject: Articles
  topic: section
subject: Land-Use change
  topic: keywords
subject: Ecosystem service Value
  topic: keywords
subject: Equivalent Factor method
  topic: keywords
subject: GeoSOS-FLUS
  topic: keywords
subject: Jingmen
  topic: keywords
creator: Longfei Wang
creator: Hongna Mu
creator: lei Liu
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-12-31
publication date: 2025-12-31
starting page: 42
ending page: 54
doi: 10.63313/AERpc.9065

Stability analysis of a landslide based on FLAC 3D
type: item
description: This paper focuses on the problem of the 1# and 2# aqueducts in the sliding section of the Huaipai Yellow River water diversion project, which were damaged due to the reactivation of the ancient landslide body. A stability analysis of the initial state of the slope was conducted. The Midas GTS NX and FLAC3D joint modeling method was adopted: the geological CAD drawings were sorted out, the surface and solid models were established through Midas, and after cutting the sliding body, it was imported into FLAC3D. Based on the Mohr-Coulomb criterion, boundary constraints and gravity loads were applied for numerical simulation. The results showed that the maximum horizontal displacement was 3.9 cm (in the middle-upper part) and the maximum vertical displacement was 4.95 cm (in the middle-upper part of the sliding body); the surface was mainly under tensile stress, and the absolute value of the bottom compressive stress increased with depth; the maximum shear strain increment was small; the slope stability coefficient was 1.48. The conclusion indicates that the slope as a whole was in a stable state in the initial state.
subject: Articles
  topic: section
subject: Landslide
  topic: keywords
subject: stability analysis
  topic: keywords
subject: three-dimensional model
  topic: keywords
subject: finite element simulation
  topic: keywords
creator: Xinglong Liang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-12-17
publication date: 2025-12-17
starting page: 26
ending page: 41
doi: 10.63313/AERpc.9064

Research on Real time Acquisition System Based on Binocular Stereoscopic Vision
type: item
description: This paper presents the design and implementation of a real-time 3D acquisition system utilizing binocular stereoscopic vision. The primary objective is to develop a robust and efficient pipeline capable of capturing, processing, and reconstructing three-dimensional geometry of dynamic scenes with low latency. The core methodology integrates synchronized image capture from a calibrated stereo camera pair, followed by real-time stereo rectification and a dense stereo matching algorithm optimized for speed. The system successfully achieves real-time performance, generating dense depth maps at a frame rate sufficient for interactive applications. Experimental results demonstrate the system's accuracy in reconstructing static objects and its capability to track depth variations in moderately dynamic environments. The conclusion highlights that the implemented system provides a practical and effective solution for real-time 3D perception, establishing a reliable foundation for applications in robotics guidance, quality inspection, and augmented reality where immediate spatial feedback is critical.
subject: Articles
  topic: section
subject: Real-time System
  topic: keywords
subject: Binocular Stereoscopic Vision
  topic: keywords
subject: 3D Acquisition
  topic: keywords
subject: Stereo Matching
  topic: keywords
subject: Depth Map
  topic: keywords
creator: Yuanhang Xuan
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-12-17
publication date: 2025-12-17
starting page: 19
ending page: 25
doi: 10.63313/AERpc.9063

Multifunctional Intelligent Water Curtain Air Cabinet
type: item
description: This project aims to develop an intelligent model-specific water curtain system, providing a compact, cost-effective, and high-performance comprehensive solution for model enthusiasts and small studios to address issues such as formaldehyde pollution, particulate diffusion, temperature and humidity, and noise during painting operations. The system integrates formaldehyde sensors, temperature and humidity sensors, and a display screen, and uses intelligent control algorithms to link formaldehyde concentration with fan speed, ensuring air quality remains within safe limits. Additionally, the system features real-time data display, alarm notifications, and remote control capabilities, enhancing user experience. Experimental results demonstrate that the system meets expected targets in purification efficiency, energy consumption control, and operational convenience. In the future, with further advancements in intelligent technology, this system is expected to play a greater role in model making and air purification, providing users with a healthier and more environmentally friendly working environment.
subject: Articles
  topic: section
subject: Environmental Pollution
  topic: keywords
subject: Miniaturization
  topic: keywords
subject: Intelligent Control
  topic: keywords
subject: Indoor Environment
  topic: keywords
subject: Model-Specific
  topic: keywords
creator: ChenHao Gao
creator: WenHao Su
creator: Shengrong Lu
creator: Qi Shen
creator: JiaRui Jiang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-12-10
publication date: 2025-12-10
starting page: 12
ending page: 18
doi: 10.63313/AERpc.2016

Architectural Choice in Inverse Design of THz Metamaterials: Local Priors vs. Global Attention under Data Scarcity
type: item
description: The inverse design of terahertz (THz) electromagnetically induced transparency (EIT) metamaterials is complicated by high-dimensional parameter spaces and complex spectral mappings. While deep learning has emerged as a potent tool for addressing these issues, the suitability of distinct neural architectures under data-constrained conditions remains underexplored. Focusing on EIT spectra characterized by long-range frequency dependencies, this study compares the inverse design performance of the Fully Connected Residual Network (FC-ResNet), which leverages local inductive biases, against the Transformer architecture, which relies on global self-attention mechanisms. We evaluated these models using a comprehensive dataset of 20,476 samples and a restricted dataset of only 500 samples. The results demonstrate that in data-rich environments, both architectures achieve exceptional accuracy (R² > 0.99), indicating that architectural differences do not constitute a bottleneck when data is abundant. However, in small-sample regimes—simulating scenarios with scarce experimental data—the FC-ResNet exhibits significantly superior generalization capabilities compared to the Transformer. Our findings suggest that while Transformers offer global modeling potential, they are prone to overfitting when data is limited; conversely, the structural priors of the FC-ResNet provide essential regularization in such contexts. This work offers empirical guidance for selecting architectures in the intelligent design of metamaterials where data availability is a limiting factor
subject: Articles
  topic: section
subject: Terahertz metamaterials
  topic: keywords
subject: Inverse design
  topic: keywords
subject: Deep learning
  topic: keywords
creator: Peng Xu
creator: Shuang Wang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-12-09
publication date: 2025-12-09
starting page: 1
ending page: 11
doi: 10.63313/AERpc.9062

Spatio-Temporal Simulation and Change Analysis of Land Use on the Qinghai-Tibet Plateau Under Future Scenarios
type: item
description: As a sensitive response zone to global change and a critical ecological barrier, the Qinghai-Tibet Plateau's land use and land cover change (LUCC) profoundly impacts regional ecological security and sustainable development. To systematically analyze its evolution patterns and project future trends, this study integrated three phases of remote sensing data from 2000 to 2020. coupled with multi-source drivers including topography, climate, vegetation, and socioeconomic factors. Employing the PLUS (Patch-generating Land Use Simulation) model, we simulated and revealed the spatiotemporal differentiation and transformation mechanisms of LUCC on the Tibetan Plateau over the past two decades. We further projected land use patterns for 2060 under three scenarios: Natural Development (ND), Water Resource Protection (WP), and Sustainable Development (SD). Results indicate: ①Between 2000 and 2020, the land use structure of the Qinghai-Tibet Plateau generally maintained a pattern of "grassland as the dominant type, with unutilized land as the secondary type." Grassland area increased from 132.26×10⁴ km² to 134.73×10⁴ km², and its proportion rose from 51.37% to 52.33%. Unutilized land decreased from 101.57×10⁴ km² to 98.57×10⁴ km², with its proportion declining from 39.45% to 38.28%; Forest land, water bodies, and constructed land all showed slight increases, while cultivated land decreased marginally. Overall changes were limited in magnitude but exhibited clear trends. ②Significant spatial differentiation in LUCC emerged, revealing a gradient pattern: concentrated forest land in the southeast, extensive grassland in the central region, and dominant unutilized land in the northwest. Constructed land expanded slowly along river valleys and transportation corridors in a "point-axis" pattern. ③Multi-scenario simulations indicate that by 2060, the SD scenario demonstrates the most optimal comprehensive performance in ecological conservation and construction control; the WP scenario…
subject: Articles
  topic: section
subject: Qinghai-Tibet Plateau
  topic: keywords
subject: Land use change
  topic: keywords
subject: PLUS model
  topic: keywords
subject: Multi-scenario simulation
  topic: keywords
creator: Wei Xiong
creator: XiaoLong Jiang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-11-24
publication date: 2025-11-24
starting page: 102
ending page: 112
doi: 10.63313/AERpc.9061

Accuracy and Challenges of Machine Learning in Predicting Carbon Emissions from Coal-Fired Power Plants: An Analysis Based on Load Variations
type: item
description: This study explores the application of machine learning (ML) techniques in predicting carbon emissions from coal-fired power plants, with a focus on the impact of load variations. The purpose of this research is to evaluate the accuracy and challenges associated with ML models when predicting carbon emissions in response to dynamic load changes, a critical factor for emission forecasting in power generation. The study employs a combination of time-series forecasting models, including regression techniques and advanced deep learning algorithms, such as Long Short-Term Memory (LSTM) networks, to analyze historical load and emission data from a selected coal-fired plant. The results show that while ML models can offer significant improvements in prediction accuracy compared to traditional methods, the accuracy decreases during periods of rapid load fluctuation, with prediction errors increasing by 10-15% under high load variations. Furthermore, model explainability and the integration of real-time data pose considerable challenges. The study highlights the importance of robust feature engineering, including the integration of fuel composition and environmental factors, as well as the need for real-time data processing to enhance model performance. In conclusion, the research demonstrates that machine learning can be a pow-erful tool for carbon emission prediction in coal-fired power plants, but it also faces limitations in terms of accuracy under fluctuating load conditions. To overcome these challenges, future work should focus on improving model ro-bustness through hybrid approaches that combine ML techniques with physical modeling and real-time data analytics. This would enable more accurate and reliable carbon emissions forecasting, helping to optimize emissions reduction strategies and support regulatory compliance in the power sector.
subject: Articles
  topic: section
subject: Carbon emissions prediction
  topic: keywords
subject: Machine learning
  topic: keywords
subject: Coal-fired power plants
  topic: keywords
subject: Load variation
  topic: keywords
subject: Operational transitions
  topic: keywords
subject: Emission modeling uncertainty
  topic: keywords
creator: Jialiang Wang
creator: Yanming Han
creator: Mingsheng Du
creator: Xiao Chong
creator: Yuyu Li
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-11-24
publication date: 2025-11-24
starting page: 89
ending page: 101
doi: 10.63313/AERpc.9060

Research on System Optimization and Decision-Making for Building Industrialization Chain Focused on Carbon and Waste Reduction
type: item
description: Aiming at the "dual carbon" goals, this paper treats the industrial chain of building industrialization as a complex system and focuses on the synergistic reduction of carbon and waste. By analyzing the key contradictions within the system, a multi-dimensional indicator system encompassing policy drivers, technical capabilities, and environmental performance is constructed. An evolutionary game model between the government and core enterprises is then established to explore their strategic interaction mechanisms. Simulation results show that under current parameters, the system stabilizes in a "regulatory dilemma" state of "strict government supervision and traditional enterprise practices," revealing that excessively high transformation costs are the key bottleneck suppressing market-driven dynamics. Sensitivity analysis further identifies a priority sequence for breaking the dilemma: the primary task is to significantly reduce transformation costs, followed by establishing synergistic incentives combining subsidies and long-term benefits, while punitive mechanisms primarily serve as a safety net. Based on this, the study proposes a collaborative decision-making system from a system optimization perspective, prioritizing cost reduction, with incentives as the core and supervision as the safeguard, providing theoretical foundations and pathways for advancing the green and low-carbon transformation of the building industrialization industrial chain.
subject: Articles
  topic: section
subject: Construction industrialization
  topic: keywords
subject: System optimization
  topic: keywords
subject: Evolutionary game theory
  topic: keywords
subject: Carbon emission reduction
  topic: keywords
subject: Construction waste
  topic: keywords
subject: Regulatory dilemma
  topic: keywords
creator: Dongxu Sun
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-11-24
publication date: 2025-11-24
starting page: 77
ending page: 88
doi: 10.63313/AERpc.9059

Multivariate Data Fusion and Health Analysis of Coal Processing Facilities
type: item
description: This paper presents a comprehensive health diagnosis and predictive maintenance management system based on multi - source data fusion. Firstly, the research constructs a data acquisition framework covering multi - source sensors such as vibration, temperature, and pressure. Wavelet transform and empirical mode decomposition are employed for signal processing, and multi - dimensional features in the time domain, frequency domain, and time - frequency domain are extracted. Subsequently, the local preserving projection algorithm is introduced to achieve effective dimensionality reduction and visualization of high - dimensional features. At the diagnostic level, a fuzzy clustering - fuzzy integral fusion diagnostic algorithm based on fuzzy measure theory is innovatively proposed to address the challenge of composite fault identification. At the predictive level, by constructing a degradation feature evaluation system encompassing correlation, monotonicity, and robustness, the self - organizing map network is used to fuse multiple features into a comprehensive health index, and the long - short - term memory network model is utilized to accurately predict the evolution trend of the equipment's health status. Finally, based on the health status assessment and remaining useful life prediction, a full - life - cycle predictive maintenance strategy is formulated, and an intelligent maintenance decision - support system is designed.
subject: Articles
  topic: section
subject: Coal processing plant
  topic: keywords
subject: Multi-data fusion
  topic: keywords
subject: LSTM health status prediction
  topic: keywords
subject: Long Short-Term Memory Network
  topic: keywords
subject: Optimization of maintenance decisions
  topic: keywords
creator: Xiaolin Duan
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-11-10
publication date: 2025-11-10
starting page: 65
ending page: 76
doi: 10.63313/AERpc.9058

Data-Driven Inverse Design of THz Metamaterials: A Deep Learning Approach for Small-Data Regimes
type: item
description: Inverse design based on deep learning offers a revolutionary paradigm for ac-celerating the development of novel terahertz (THz) metamaterials. However, its application is often constrained by the high cost of acquiring large-scale sim-ulation datasets. This work focuses on the high-accuracy inverse design of THz electromagnetically induced transparency (EIT) metamaterials under small da-taset conditions, systematically evaluating the effectiveness of different deep learning architectures. To achieve precise inversion from a target spectrum to its physical structure, we constructed a representative dataset through parametric electromagnetic simu-lation. On this foundation, we built, trained, and compared three neural network models: a Multi-Layer Perceptron (MLP) as the baseline, a residual fully con-nected network (FC-ResNet) for enhanced deep network training, and a one-dimensional convolutional neural network (1D-CNN) designed for sequen-tial data. The results reveal a key finding: for this inverse design task, the FC-ResNet demonstrated superior predictive performance, achieving a coefficient of de-termination (R²) of 0.9794 on an independent test set. This significantly out-performed the baseline MLP (0.9438) and surprisingly surpassed the theoreti-cally more suitable 1D-CNN. Further analysis suggests that for the EIT inverse problem investigated here, the prediction relies more on the global morphology and correlation features of the spectrum than on localized characteristics. The FC-ResNet, with its deep architecture and effective residual learning mecha-nism, successfully captured this complex, non-local mapping relationship. The core contribution of this work is demonstrating that for complex physical prob-lems, a deep, general-purpose model with sufficient expressive power and stable trainability can outperform a more specialized architecture that is prone to in-formation loss. This finding provides a crucial guideline for model selection in the intelligen…
subject: Articles
  topic: section
subject: Inverse Design
  topic: keywords
subject: Terahertz Metamaterials
  topic: keywords
subject: Deep Learning
  topic: keywords
creator: Peng Xu
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-11-05
publication date: 2025-11-05
starting page: 54
ending page: 64
doi: 10.63313/AERpc.9057

Retraction: Research Progress on Novel Water-Soluble Lubricant Additives
type: item
description: At request of the authors, this article has been retracted by Erytis Publishing Limited in light of clear evidence that the results and conclusions are no longer valid. We thank the authors for notifying us so that the publication record can be amended accordingly. Retraction published: November 10, 2025.
subject: Articles
  topic: section
subject: Water-soluble lubricant additives
  topic: keywords
subject: Environmental protection
  topic: keywords
subject: Lubrication performance
  topic: keywords
subject: Application fields
  topic: keywords
subject: Development trends
  topic: keywords
creator: Hailong Qiao
creator: Yurong Wang
creator: Fuli Li
creator: Chengcheng Niu
creator: Yaofei Ma
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-11-05
publication date: 2025-11-05
starting page: 46
ending page: 53
doi: 10.63313/AERpc.9056

Research on Welding Methods of Monel Alloy
type: item
description: Monel 400 alloy boasts excellent mechanical and processing properties, along with good corrosion resistance in high-temperature acid-base and strongly alkaline media. It is widely applied in high-pressure gas supply systems across aerospace, shipbuilding, chemical, pharmaceutical, and other industries. This article primarily analyzes and studies the welding issues of Monel 400 alloy pipelines, as well as the determination of welding process parameters, aiming to improve the welding process of Monel 400 alloy and ensure welding quality.
subject: Articles
  topic: section
subject: monel metal
  topic: keywords
subject: welding technology
  topic: keywords
subject: high pressure gas supply pipeline
  topic: keywords
creator: Chunyun Wang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-11-05
publication date: 2025-11-05
starting page: 39
ending page: 45
doi: 10.63313/AERpc.9055

AKCD: An Attention-Driven Framework with Kernel Conditional Independence Testing for Time Series Causal Discovery
type: item
description: Causal discovery is crucial for understanding complex system dynamics, espe-cially with non-stationary time series data. This paper presents An Atten-tion-Driven Framework with Kernel Conditional Independence Testing (AKCD), a novel two-stage framework to enhance time series causal discovery accuracy and robustness. In the first stage, AKCD uses a Transformer-based Multi-Scale Temporal Self-Attention Network (MS-TSAN) to capture complex temporal de-pendencies in time series, generating attention matrices and hidden representa-tions for subsequent causal inference. In the second stage, it applies ker-nel-based conditional independence (KCI) tests on the hidden representations to generate a conditional independence (CI) matrix, which is used as prior knowledge to guide causal graph optimization via regularization constraints. This hybrid approach combines deep learning’s feature extraction advantages with statistical tests’ causal inference rigor, making AKCD particularly suitable for non-stationary time series data.
subject: Articles
  topic: section
subject: Causal discovery
  topic: keywords
subject: time series
  topic: keywords
subject: Transformer
  topic: keywords
subject: KCI test
  topic: keywords
subject: conditional independence
  topic: keywords
creator: Wenming Lu
creator: Dingkai Hu
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-10-27
publication date: 2025-10-27
starting page: 27
ending page: 38
doi: 10.63313/AERpc.9054

Simulation of Thermal Barrier Layer Effects on Cu/PI Structures for Flexible Film Antenna Fabrication
type: item
description: This study investigates the influence of a thermal barrier layer on the laser ablation behavior of a Cu/Ti/PI trilayer structure using finite element simulation in COMSOL Multiphysics. A 2D model was established to analyze the temperature distribution and material removal under nanosecond pulsed laser irradiation. The effects of single-pulse energy, thermal barrier layer thickness, pulse width, and scanning speed were systematically evaluated. Results indicate that a Ti thermal barrier layer with a thickness of 200–300 nm effectively delays the vaporization of the PI substrate while maintaining adequate copper removal. Optimal processing parameters were identified as a single-pulse energy of 450 μJ, pulse width of 120 ns, and scanning speed of 250 mm/s, which achieved complete copper ablation with minimal substrate damage.
subject: Articles
  topic: section
subject: Laser Ablation
  topic: keywords
subject: Thermal Barrier Layer
  topic: keywords
subject: Finite Element Simulation
  topic: keywords
subject: Cu/Ti/PI Structure
  topic: keywords
subject: Nanosecond Laser
  topic: keywords
creator: Guanghui Dong
creator: Shufeng Sun
creator: Dunzhu GeSang
creator: Jin Wang
creator: Fengyun Zhang
creator: Tao Wei
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-10-23
publication date: 2025-10-23
starting page: 12
ending page: 26
doi: 10.63313/AERpc.9053

Modeling of Urban Road Vehicle Exhaust Emission Laws and Comprehensive Analysis Under Accident Scenarios
type: item
description: With the rapid growth of motor vehicle ownership, vehicle exhaust has become a major source of urban air pollution. This study constructs a mathematical modeling system for carbon monoxide (CO) and hydrocarbon (HC) emissions based on real road observation data, focusing on speed-emission relationships, optimal driving speed, driving behavior impacts, and accident-induced idling emissions. Results show the "emission rate-speed" model outperforms "mileage emission-speed" (CO emission rate R²≈0.994); HC’s optimal speed is ~25 mile/h (practical), while CO’s optimal speed exceeds real limits; variable-speed driving increases instantaneous emission fluctuations; 200 vehicles idling 30 minutes emit ~1754g CO and ~189g HC. This study provides a scientific basis for traffic emission management.
subject: Articles
  topic: section
subject: Vehicle Exhaust Emission
  topic: keywords
subject: Speed-Emission Model
  topic: keywords
subject: Extreme Value Analysis
  topic: keywords
subject: Driving Behavior
  topic: keywords
subject: Traffic Accident
  topic: keywords
creator: Yuchen Xu
creator: Jiaxiang Ge
creator: Yaoxuan Guo
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-10-16
publication date: 2025-10-16
starting page: 1
ending page: 11
doi: 10.63313/AERpc.9052

Grating structures are fabricated inside glass based on femtosecond laser parallel processing technology
type: item
description: Femtosecond laser single-focus scanning has the problem of low efficiency when manufacturing large-area structures. This paper proposes a multi-focus parallel processing method based on the weighted Gerchberg-Saxton (GS) algorithm. A multi-focus hologram was designed and loaded onto a spatial light modulator to achieve uniform energy distribution. The effects of repetition frequency, processing times and scanning speed on the morphology of microchannels were systematically studied, and the uniformity was all above 90%. Using the optimized process parameters, a grating structure with a cross-sectional width of approximately 29.315 μm was fabricated inside the glass by the three-focal parallel process. Compared with single-focus scanning, this method triples the efficiency while maintaining high quality, providing a promising path for the manufacturing of scalable photonic devices.
subject: Articles
  topic: section
subject: Femtosecond laser
  topic: keywords
subject: Spatial light modulator
  topic: keywords
subject: holography
  topic: keywords
subject: Glass gratings
  topic: keywords
creator: Yaofei Ma
creator: Shufeng Sun
creator: Jin Wang
creator: Fengyun Zhang
creator: Xuecheng Gao
creator: Tao Wei
creator: Zhihao Qu
creator: Pingping Wang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-09-02
publication date: 2025-09-02
starting page: 81
ending page: 90
doi: 10.63313/AERpc.9051

Tribological properties of CF/PEEK paired with different metals
type: item
description: Under the condition of impurity water lubrication, the tribological properties of three friction pairs consisting of 45#, nickel-plated steel, 304L, and carbon fiber-reinforced PEEK composite (CF/PEEK) were investigated. Ball-on-block reciprocating tests were conducted using a self-made friction and wear tester. In combination with surface morphology characterization, the friction and wear mechanisms of the materials were deeply analyzed. The research results showed that with changes in load and rotational speed, the friction coefficient and wear volume of CF/PEEK-45# were consistently lower than those of CF/PEEK-NP and CF/PEEK-304L. Under the condition of impurity water lubrication, the compatibility of CF/PEEK with the three materials was ranked as follows: CF/PEEK-45# > CF/PEEK-NP > CF/PEEK-304L. This study provides key data support and theoretical guidance for the practical application of CF/PEEK composite materials in motion pair components such as water-lubricated bearings and guide rails.
subject: Articles
  topic: section
subject: CF/PEEK
  topic: keywords
subject: 45# steel
  topic: keywords
subject: water lubrication with impurities
  topic: keywords
subject: friction pair
  topic: keywords
subject: friction and wear
  topic: keywords
creator: Hongqian Ma
creator: Youqiang Wang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-08-29
publication date: 2025-08-29
starting page: 67
ending page: 80
doi: 10.63313/AERpc.9050

Experimental Study on Dynamic Modulation Op-timization of Micro-Hole Morphology in Wa-ter-Assisted Laser Drilling
type: item
description: IN718 alloy, a typical nickel-based superalloy, is widely used in key components such as turbine blades and combustion chambers in aircraft engines due to its excellent high-temperature strength, creep resistance, and corrosion resistance. However, the material's high-temperature strength, poor thermal conductivity, and low plasticity lead to low efficiency in traditional machining and severe tool wear. Laser processing, with its high energy density, non-contact nature, and flexibility, is considered an effective method for machining micro-holes in high-temperature alloys. However, laser micro-hole processing in air still faces problems such as large hole expansion, rough hole walls, a large heat-affected zone, and thick oxide layers. To address these issues, this paper introduces a water-assisted environment and combines pulse delay technology to explore its effects and mechanisms in the micro-hole processing of IN718 alloy.
subject: Articles
  topic: section
subject: Synergistic laser drilling, pulse-delay modulation
  topic: keywords
subject: dynamic energy regulation
  topic: keywords
subject: micropore processing
  topic: keywords
creator: Fan Liu
creator: Shufeng Sun
creator: Junbao Li
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-08-29
publication date: 2025-08-29
starting page: 54
ending page: 66
doi: 10.63313/AERpc.9049

Study on micro-hole morphology of Ni-based superalloy optimized by pulse-delay dynamic modulation of nanosecond laser
type: item
description: Ni-based superalloys are widely used in aerospace for their excellent high-temperature properties.. To address thermal damage and dimensional ac-curacy issues faced by IN718 in high-power nanosecond laser micro-drilling, this study proposes a pulse-time modulation strategy. By dynamically control-ling heat accumulation through precise pulse-delay adjustments, a segmented energy delivery mechanism enhances through-hole quality. Two pulse-delay op-timization strategies are proposed and verified in comparison with the conven-tional processing: the optimized hole size accuracy is improved by 70%, the av-erage roughness of the hole wall is reduced by 30%, and the taper of the through-hole is reduced by 54%.
subject: Articles
  topic: section
subject: Nanosecond laser
  topic: keywords
subject: Laser drilling
  topic: keywords
subject: Pulse delay
  topic: keywords
subject: Ni-based superalloy
  topic: keywords
creator: Xuecheng Gao
creator: Shufeng Sun
creator: Jin Wang
creator: Fengyun Zhang
creator: Yaofei Ma
creator: Tao Wei
creator: Junbao Li
creator: Pingping Wang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-08-25
publication date: 2025-08-25
starting page: 44
ending page: 53
doi: 10.63313/AERpc.9048

From Grid-Following to Grid-Forming: A Review of Converter Technology Paradigm Shift and Its Applications in Renewable-Rich Power Systems
type: item
description: With the global penetration of renewable energy exceeding 30%, power systems are increasingly challenged by inertia deficiency and weak grid stability, exposing the limitations of conventional grid-following inverters (GFLI) which rely on external synchronization and may provoke sub-synchronous oscillations. This review analyzes the technological transition toward grid-forming inverters (GFMI)—capable of autonomously establishing and regulating voltage and frequency—and assesses their application in renewable energy systems. Through bibliometric analysis, case studies from major Chinese renewable bases, and hardware-in-the-loop simulations under weak-grid conditions (SCR as low as 1.0), we identify significant advancements in wide-bandgap semiconductor topologies, adaptive control strategies such as virtual synchronous generator (VSG) and self-synchronizing control (SSC), impedance reshaping, and fault ride-through capability. Real-world implementations demonstrate markedly improved performance: inertia response time reduced to 0.48s, suppression of sub-synchronous oscillations by 89%, reactive response within 25ms, and successful black-start within 180 seconds, alongside notable economic benefits including reduced wind curtailment and lower equipment costs. Nevertheless, widespread adoption faces standardization gaps particularly in thermal management of high-frequency devices, multi-timescale stability certification, and market mechanisms for ancillary services. We conclude that GFMI represents a foundational technology for future high-renewable power systems, though its full deployment requires integrated progress in adaptive intelligence, international standard alignment, and policy-supported market frameworks.
subject: Articles
  topic: section
subject: Grid-forming inverter (GFMI)
  topic: keywords
subject: Virtual synchronous generator (VSG)
  topic: keywords
subject: Weak grid stability
  topic: keywords
subject: Fault
  topic: keywords
subject: ride-through
  topic: keywords
subject: Standardization
  topic: keywords
creator: Zixiang Ma
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-08-22
publication date: 2025-08-22
starting page: 37
ending page: 43
doi: 10.63313/AERpc.9047

Evaluation and Suggestions on Logistics Level of Yangtze River Delta Urban Agglomeration Based on Factor Analysis and Cluster Analysis
type: item
description: As the "neural network" of economic integration, the development level of the logistics system determines the efficiency of cross-regional flow and allocation of factor resources. Currently, although the economic aggregate of the Yangtze River Delta region accounts for nearly one-fourth of the national total, the imbalance in logistics development has become a key bottleneck restricting in-depth regional collaboration. To comprehensively evaluate the logistics development level of the Yangtze River Delta urban agglomeration, this paper constructs an evaluation system for regional logistics level of the Yangtze River Delta urban agglomeration by selecting 9 indicators from 4 dimensions. The comprehensive scores of each city are calculated through factor analysis. The results show that Shanghai, Wuxi, and Nanjing have the highest logistics development level, followed by Jiaxing, Ningbo, and Nantong. Based on the scores of each common factor and the comprehensive scores obtained from the above factor analysis, a cluster analysis can be conducted on the regional logistics level of the cities in the Yangtze River Delta. According to logistics scale, openness, logistics network density, and industrial contribution, the 14 cities are divided into three categories. By analyzing and identifying the advantages and disadvantages of urban logistics development, revealing the spatial differentiation law of logistics development in the Yangtze River Delta, and proposing differentiated countermeasures, this paper puts forward policy suggestions for promoting the integration of the Yangtze River Delta region.
subject: Articles
  topic: section
subject: Yangtze River Delta Urban Agglomeration
  topic: keywords
subject: Logistics Level Evaluation
  topic: keywords
subject: Factor Analysis
  topic: keywords
subject: Cluster Analysis
  topic: keywords
subject: Regional Collaboration
  topic: keywords
creator: Liu Yang
creator: Zhongying He
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-08-18
publication date: 2025-08-18
starting page: 26
ending page: 36
doi: 10.63313/AERpc.9046

Wear Prediction for Helical Gears Used in EMU
type: item
description: By combining Hertz contact theory with the Archard wear formula, a wear model for the tooth surface of helical cylindrical gears used in high-speed trains was developed, and its wear characteristics were numerically simulate.The simulation findings show that, under ideal operating conditions, the tooth sur-face of the helical gear pair wears non-uniformly along the tooth width direc-tion, with the least wear near the pitch circle and the most wear at the root of the smaller gear. Based on this, the effects of various modules, tooth width, he-lix angle, and input torque on tooth surface wear are investigated further. The analysis shows that changes in module, input torque, and tooth width all have a considerable impact on the distribution of tooth surface wear, although varia-tions in helix angle have a modest impact.
subject: Articles
  topic: section
subject: Dry friction
  topic: keywords
subject: Helical gear
  topic: keywords
subject: Adhesion wear
  topic: keywords
subject: Meshing characteristic
  topic: keywords
creator: Delong Shao
creator: Hanjun Jiang
creator: Hao Wu
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by/4.0/
date: 2025-08-14
publication date: 2025-08-14
starting page: 18
ending page: 25
doi: 10.63313/AERpc.9045