About
Shuzhi Xu 徐庶之
I am a JSPS Postdoctoral Fellow at The University of Osaka. My research focuses on topology optimization, computational design, and design for advanced manufacturing.
I develop optimization methods that incorporate physical behavior and manufacturing constraints directly into the design process. My work spans structural and thermal-fluid design, additive and hybrid manufacturing, composite materials, and CAD reconstruction.
I received my Ph.D. in Mechanical Engineering from the University of Alberta. My doctoral research investigated topology optimization with additive-manufacturing constraints.
Research Interests: Topology Optimization; Design for Manufacturing; Multi-fidelity Modeling; High-Performance Computing.
My current work aims to make optimized designs physically meaningful, computationally tractable, and compatible with practical manufacturing processes.
Experience
- JSPS Postdoctoral Fellow · The University of Osaka Topology optimization and computational design for advanced manufacturing.
- Specially Appointed Researcher · Osaka University Research on topology optimization and design engineering in Prof. Kentaro Yaji’s group.
- Ph.D. in Mechanical Engineering · University of Alberta Topology Optimization Considering Additive Manufacturing Constraints.
- Visiting Research Student · Shandong University Research collaboration on topology optimization and additive manufacturing in Prof. Jikai Liu’s group.
- B.Eng. in Mechanical Engineering · Taiyuan University of Science and Technology Undergraduate study in mechanical design, modeling, and engineering analysis.
Selected Research Works
Representative projects in manufacturing-aware optimization, thermal-fluid design, composite structures, and CAD reconstruction.
Design for Manufacturing
1. Topology Optimization for Multi-Axis Hybrid Manufacturing
Topology optimization methods for integrated multi-axis additive and subtractive manufacturing, accounting for process accessibility when generating complex, manufacturable components.
面向多轴增材与减材复合制造的拓扑优化方法，在设计过程中考虑加工可达性， 以生成复杂且具备可制造性的零件结构。
Design for Manufacturing
2. Topology Optimization for Multi-Axis Additive Manufacturing
Optimization methods that exploit multiple deposition directions in multi-axis additive manufacturing to reduce support requirements and expand the feasible design space.
利用多轴增材制造中的多方向沉积能力开展拓扑优化，减少支撑结构需求， 并拓展可制造结构的设计空间。
Thermal Management
3. Topology Optimization of Dual-Flow Heat Exchangers
Coupled thermal-fluid topology optimization for compact dual-flow heat exchangers, balancing heat-transfer performance and flow resistance within a prescribed design domain.
面向紧凑型双流换热器的热流体耦合拓扑优化，在给定设计域内协调换热性能 与流动阻力。
Design for Manufacturing
4. Design for Metal Additive Manufacturing
Manufacturing-aware topology optimization for metal additive manufacturing, incorporating build direction, overhang limitations, and minimum feature requirements into the design process.
面向金属增材制造的可制造性拓扑优化，在设计过程中考虑成形方向、悬垂限制 与最小特征尺寸等工艺约束。
Composite Design
5. Topology Optimization of Fiber-Reinforced Composite Structures
Concurrent optimization of structural topology and anisotropic material orientation for fiber-reinforced composites, improving structural performance while accounting for material and fabrication characteristics.
针对纤维增强复合材料协同优化结构拓扑与各向异性材料方向，在考虑材料特性 和制造要求的同时提升结构性能。
Geometric Intelligence
6. Topology Optimization Meets Editable CAD
Reconstruction of topology-optimized geometries as editable, history-based parametric CAD models, enabling efficient downstream modification and engineering reuse.
将拓扑优化几何重建为可编辑且保留建模历史的参数化 CAD 模型，支持后续修改、 工程复用与快速设计迭代。