A5101869762- Additive Manufacturing Materials and Processes
- Polymer composites and self-healing
- Microstructure and mechanical properties
- Welding Techniques and Residual Stresses
- Powder Metallurgy Techniques and Materials
- High Entropy Alloys Studies
- Aluminum Alloys Composites Properties
- Metal and Thin Film Mechanics
- Advanced Polymer Synthesis and Characterization
- Polymer Nanocomposites and Properties
- High-Temperature Coating Behaviors
- Antimicrobial agents and applications
- Synthesis and properties of polymers
- Tribology and Wear Analysis
- Lignin and Wood Chemistry
- Electric and Hybrid Vehicle Technologies
- Photopolymerization techniques and applications
- Photochromic and Fluorescence Chemistry
- Advanced machining processes and optimization
- Industrial Technology and Control Systems
Harbin University of Science and Technology
2025
China University of Geosciences (Beijing)
2023
Supercapacitors are increasingly utilized in the new energy automotive industry, favored for their long cycle life, high power density, and environmental sustainability. Accurately predicting Remaining Useful Life (RUL) of supercapacitors is crucial timely replacement avoiding losses associated with unexpected failures. This paper introduces a novel life prediction method supercapacitors, employing Genetic Algorithm-Long Short-Term Memory (GA-LSTM) approach. Initially, Moving Average Filter...
Research on polymer matrix composites with excellent tribological properties has received increasing attention in recent years. In this study, antigorite and wollastonite mineral dual-phase-reinforced polytetrafluoroethylene (PTFE) were prepared by filling PTFE powders using ball-milling, cold-pressing, pressureless sintering methods. The phase structure, microstructure, chemical composition, Shore hardness, behavior of the rubbed against steel balls under dry friction conditions...
A self-healing material was developed on the basis of a biological system. The epoxy resin, which incorporated microcapsules filled with ethyl phenylacetate (EPA), investigated. were prepared by an in situ polymerization method. microcapsule-formation process monitored optical microscopy, and surface morphology observed scanning electron microscopy (SEM). performance resin assessed manual healing experiments. We investigated effects time, amount EPA, degree curing matrix manually injecting...
Optimum laser cladding processing parameters were obtained based on the study of various powder mass flow rates for repair 27SiMn steel parts using Inconel 718 powder. In this study, fusion coating process set according to influence properties. The cross-sectional microstructure, X-ray diffraction patterns, micro-hardness distribution, friction, wear properties, impact and fracture morphology clad layers investigated parameters. results indicate that volume fraction Ni3Fe phase increases...
摘要: 机械损伤状态监测技术结合多种监检测手段与先进传感器技术,实时或定期提取机械运行过程中材料变形、蠕变、裂纹、剥落等损伤信息,及时掌握装备健康状态,从而确保装备高效运行,合理规划维修时机,有效避免事故,是机械装备故障诊断和智能运维领域的重要技术支撑。基于智能材料与智能结构的损伤状态监测过程具有响应快速、定量精确、定位精准的特点,满足机械结构复杂化、机电一体化、操控智能化、作业连续化发展对健康状态监测的新需求,是装备健康状态检测技术发展的新方向。介绍典型损伤监测智能材料的结构与原理,综述面向机械磨损、疲劳和腐蚀等主要损伤模式的状态监测智能材料研究进展,指出损伤监测智能材料未来的发展重点。