Title:Lessons Learnt from a National Competition on Structural Optimization and Additive Manufacturing
Volume: 1
Issue: 1
Author(s): Yulin Xiong, Dingwen Bao, Xin Yan, Tao Xu and Yi Min Xie*
Affiliation:
- Centre for Innovative Structures and Materials, School of Engineering, RMIT University, Melbourne 3001,Australia
Keywords:
Topology optimization, Bi-directional evolutionary structural optimization (BESO), structural optimization, additivemanufacturing, load-bearing structural design, national competition.
Abstract:
Background: As an advanced design technique, topology optimization has received
much attention over the past three decades. Topology optimization aims at finding an optimal material
distribution in order to maximize the structural performance while satisfying certain constraints.
It is a useful tool for the conceptional design. At the same time, additive manufacturing technologies
have provided unprecedented opportunities to fabricate intricate shapes generated by topology optimization.
Objective: To design a highly efficient structure using topology optimization and to fabricate it using
additive manufacturing.
Method: The bi-directional evolutionary structural optimization (BESO) technique provides the
conceptional design, and the topology-optimized result is post-processed to obtain smooth structural
boundaries.
Results: We have achieved a highly efficient and elegant structural design which won the first prize
in a national competition in China on design optimization and additive manufacturing.
Conclusion: In this paper, we present an effective topology optimization approach to maximize the
structural load-bearing capacity and establish a procedure to achieve efficient and elegant structural
designs.
In the loading test of the final competition, our design carried the highest loading and won the first
prize in the competition, which demonstrates the capability of BESO in engineering applications.