A5020191983- Additive Manufacturing and 3D Printing Technologies
- Innovations in Concrete and Construction Materials
- Injection Molding Process and Properties
- Piezoelectric Actuators and Control
- Robotic Path Planning Algorithms
- Cellular and Composite Structures
- Advanced Materials and Mechanics
- Interactive and Immersive Displays
- Soft Robotics and Applications
- Topology Optimization in Engineering
- Manufacturing Process and Optimization
- Robot Manipulation and Learning
- 3D Shape Modeling and Analysis
- Additive Manufacturing Materials and Processes
University of Manchester
2021-2025
Topology optimization (TO) of microstructures plays a critical role in optimizing functional performance across diverse engineering applications. While metamaterials with enhanced mechanical properties—such as hyperelasticity, energy absorption, and thermal efficiency—are commonly designed using complex microstructural geometries multi‐physics simulations, achieving the simultaneous non‐differentiable objectives remains significant challenge. In this work, novel framework is proposed for TO...
This paper presents a learning based planner for computing optimized 3D printing toolpaths on prescribed graphs, the challenges of which include varying graph structures different models and large scale nodes & edges graph. We adopt an on-the-fly strategy to tackle these challenges, formulating as Deep Q-Network (DQN) optimizer decide next 'best' node visit. construct state spaces by Local Search Graph (LSG) centered at graph, is encoded carefully designed algorithm so that LSGs in...
Material Extrusion (MEX) systems with dual-material capability can unlock interesting applications where flexible and rigid materials are combined. When chemically incompatible concerned the adhesion between two might be insufficient. Therefore researchers typically rely on dovetail type interlocking geometries in order to affix bodies mechanically. However, introduces extrusion discontinuities relies material's resistance deformation, which is difficult model. We propose a simple effective...
In this letter, we presented a data-driven framework to optimize the out-of-plane stiffness for soft grippers achieve mechanical properties as hard-to-twist and easy-to-bend. The effectiveness of method is demonstrated in design pneumatic bending actuator (SPBA). First, new objective function defined quantitatively evaluate well performance. Then, sensitivity analysis conducted on parametric model an SPBA determine optimized parameters with help Finite Element Analysis (FEA). To enable...
The morphology of microstructures in scaffolds is a critical factor influencing both mechanical properties and biological performance, such as cell growth, bone tissue engineering. While metamaterials with optimized properties, hyperelasticity, thermal efficiency, or energy absorption, have been designed through complex microstructural geometry the help numerical simulation multi-physics, optimizing performance alongside these physical traits remains significant challenge. This primarily...