Topology Optimization

The topology optimization (TO) research focuses on advancing the field of topology optimization with a specific emphasis on its integration with 3D printing technology. Topology optimization is a powerful computational method for optimizing the material distribution within a given design space to achieve improved structural performance while reducing material usage. When combined with 3D printing, it opens up new possibilities for creating highly efficient and complex structures that were previously unattainable through traditional manufacturing methods.

Primary Research Objectives are as follows:

1. Multiscale Optimization: Explore multiscale topology optimization methods that consider both macro-scale structural performance and micro-scale material properties to maximize the potential of 3D printing technology in achieving lightweight and high-performance structures.

2. Design for Additive Manufacturing (DfAM): Develop guidelines and frameworks for designing parts that are not only optimized for structural performance but also compatible with 3D printing processes, such as minimizing overhangs, reducing the need for supports, and exploiting the design freedom offered by additive manufacturing.

3. Material Characterization: Investigate and characterize a wide range of 3D printing materials, including metals, polymers, and composites, to understand their mechanical properties, thermal behavior, and how they can be utilized effectively in topology-optimized designs.

This research theme aims to advance the field of topology optimization using 3D printing technology, leading to the development of novel design approaches that are resource-efficient, structurally optimized, and tailored to specific applications. The research outcomes will have implications for industries seeking lightweight and high-performance components, as well as for the broader sustainability goals in manufacturing and product design.