方向一：Design for Manufacturing
1. Design for Hybrid Manufacturing
This research focuses on developing design methodologies tailored for hybrid manufacturing systems that integrate additive manufacturing and subtractive machining within a single process. We investigate topology optimization methods that consider process planning, tool accessibility, and manufacturing constraints, enabling the creation of complex, high-performance structures with minimized post-processing. Our approach bridges computational design and practical manufacturing, providing a pathway toward industrial-grade and manufacturable designs.
1.1. Topology Optimization for Hybrid Additive-Subtractive Manufacturing 专攻方向
Topology optimization and process-planning methods for integrated additive and subtractive manufacturing.
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1.2. Topology Optimization for Multi-Axis Additive Manufacturing 专攻方向
Manufacturing-aware topology optimization for multi-axis deposition, support reduction, and improved build accessibility.
Project Page →2. Design for Additive Manufacturing
2.1. Inherent-Strain-Method-Based LPBF Simulation Solver 博士课题
Efficient inherent-strain-based simulation for predicting process-induced deformation in laser powder bed fusion.
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2.2. Residual-Stress-Constrained Structural Topology Optimization 博士课题
Structural topology optimization that incorporates process-induced residual-stress constraints during LPBF design.
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2.3. Scanning-Path Optimization for Residual-Distortion Reduction 博士课题
Island scanning-pattern optimization for reducing residual distortion through controllable laser-path planning.
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2.4. Support-Structure Design for LPBF 博士课题
Support-structure topology optimization that accounts for residual distortion and LPBF manufacturability.
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2.5. Concurrent Structure and Scanning-Path Optimization for Residual-Distortion Reduction 博士课题
Concurrent optimization of part topology and island scanning patterns for large-scale residual-distortion control.
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