A5040236714- Advanced Multi-Objective Optimization Algorithms
- Welding Techniques and Residual Stresses
- Probabilistic and Robust Engineering Design
- Optimal Experimental Design Methods
- Manufacturing Process and Optimization
- Advanced Welding Techniques Analysis
- Industrial Vision Systems and Defect Detection
- Non-Destructive Testing Techniques
- Additive Manufacturing Materials and Processes
- Thermography and Photoacoustic Techniques
- Advanced machining processes and optimization
- Topology Optimization in Engineering
- Laser Material Processing Techniques
- Surface Roughness and Optical Measurements
- Simulation Techniques and Applications
- Heat Transfer and Optimization
- Soil Geostatistics and Mapping
- Aluminum Alloy Microstructure Properties
- Injection Molding Process and Properties
- Optical measurement and interference techniques
- Software Engineering Research
- Laser and Thermal Forming Techniques
- Metaheuristic Optimization Algorithms Research
- Fault Detection and Control Systems
- Aluminum Alloys Composites Properties
Huazhong University of Science and Technology
2015-2024
Georgia Institute of Technology
2020
Northwestern Polytechnical University
2020
Huazhong Agricultural University
2020
Dalian University of Technology
2020
Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing
2016
State Key Laboratory of Digital Manufacturing Equipment and Technology
2016
Abstract The 2000 series aluminium alloys are qualified for widespread use in lightweight structures, but solidification cracking during fusion welding has been a long-standing issue. Here, we create zirconium (Zr)-core-aluminium (Al)-shell wire (ZCASW) and employ the oscillating laser-arc hybrid technique to control welding, ultimately achieve reliable crack-free of 2024 alloy. We select Zr wires with an ideal lattice match Al based on crystallographic information wind them by similar...
Computational simulation models with different fidelity have been widely used in complex systems design. However, running the high-fidelity (HF) tends to be very time-consuming, while incorporating low-fidelity (LF), inexpensive into design process may result inaccurate alternatives. To make a trade-off between high accuracy and low expense, an active learning variable-fidelity (VF) metamodelling approach aiming integrate information from both LF HF is proposed. In proposed VF approach,...
Abstract Bayesian optimization is a metamodel-based global approach that can balance between exploration and exploitation. It has been widely used to solve single-objective problems. In engineering design, making trade-offs multiple conflicting objectives common. this work, multi-objective proposed obtain the Pareto solutions. A novel acquisition function determine next sample point, which helps improve diversity convergence of The compared with some state-of-the-art approaches four...
Engineering design optimization with expensive simulations is usually a computationally prohibitive process. As one of the most famous efficient global approaches, lower confidence bounding (LCB) approach has been widely applied to relieve this computational burden. However, LCB can be used only for problems single-fidelity level. In paper, variable-fidelity (VF-LCB) developed extend engineering multifidelity levels. First, VF-LCB function analytically derived adaptively select LF or HF...