A5024233132- Advanced machining processes and optimization
- Advanced Measurement and Metrology Techniques
- Advanced Surface Polishing Techniques
- Laser and Thermal Forming Techniques
- Gear and Bearing Dynamics Analysis
- Welding Techniques and Residual Stresses
- Reliability and Maintenance Optimization
- Advanced Numerical Analysis Techniques
- Iterative Learning Control Systems
- Fatigue and fracture mechanics
- Advanced Adaptive Filtering Techniques
- Optical Systems and Laser Technology
- Electric Motor Design and Analysis
- Advanced Algorithms and Applications
- Metallurgy and Material Forming
- Diverse Industrial Engineering Technologies
- Adhesion, Friction, and Surface Interactions
- Laser-induced spectroscopy and plasma
- Topology Optimization in Engineering
- Vehicle Noise and Vibration Control
- Additive Manufacturing Materials and Processes
- Engineering Technology and Methodologies
- Vibration and Dynamic Analysis
- Metallurgical Processes and Thermodynamics
- Heat Transfer and Boiling Studies
Genertec Shenyang Machine Tool Co., Ltd. (China)
2011-2024
Beijing Machine Tool Research Institute
2024
China Automotive Technology and Research Center
2009
A system of active noise control (ANC) in car cabins was established according to the ANC theory. In xPC environment MATLAB/RTW, a hardware-in-loop simulation platform designed including controller model, software and hardware. Based on platform, optimal position secondary sound source decided then made an actual car. The effect analyzed both time-domain frequency-domain, tracking performance also analyzed. analysis result shows is reduce low-frequency cabins.
Accurate optimal design for the test plan with limited prior information is impossible since method of a three-stress accelerated degradation motorized spindle based on determination model parameters. In order to optimize poor information, “dynamic” proposed in this article. Firstly, stress coupling term established correlation rate spindle, and parameters are regarded as variables represent deviation between true value when poor. Then, theory sequential method, an entropy objective function...
Abstract Predicting the temperature field during selective laser melting (SLM) is crucial for improving performance of printed parts. However, there still a lack an efficient and accurate model predicting keyhole-mode in SLM. Based on physical phenomena observed experiments simulations, this study proposes analytical rapidly distribution SLM melting. The considers vapor depression molten pool interaction between was validated using numerical simulations experimental data. variation trend...