Topology Optimization and Generative Design in 3D Printing: Advancing Efficiency and Innovation in Additive Manufacturing

Abstract:

The integration of topology optimization, generative design, and additive manufacturing is transforming the field of engineering design by enabling the creation of highly efficient, lightweight, and complex structures. Topology optimization is based on mathematical workflow to determine the most desirable material distribution whereas, generative design involves such a wide variety of performance-based geometries created on the basis of user-specified objectives. Additive manufacturing does supplement such methods by offering the possibility to realize complex shapes that otherwise cannot be manufactured physically. This article discusses the concepts of topology and generative optimization and their distinct and synergistic capabilities and, in practice, how to take advantage of them with 3D printing technologies. Aerospace, automotive, medical, and consumer case studies show the pros and cons of such an integrated workflow. The paper ends by stating some of the main limitations and outlining the future areas of research to strengthen the use and success of this revolutionary design-manufacturing design.