Bidirectional Evolutionary Structural Optimization (BESO) based design method for lattice structure to be fabricated by additive manufacturing. (December 2015)

• Record Type: Journal Article
• Authors: Tang, Yunlong; Kurtz, Aidan; Zhao, Yaoyao Fiona
• Is Part Of: Computer aided design. Volume 69(2015)
• Page Start: 91
• Page End: 101
• Publication Date: 2015-12
• Subjects: AM Additive Manufacturing -- BESO Bidirectional Evolutionary Structural Optimization -- BNF Backus Normal Form -- DFAM Design For Additive Manufacturing -- ESO Evolutionary Structural Optimization -- FEA Finite Element Analysis -- FS Functional Surface -- FV Functional Volume -- RBE Rigid Body Element -- SMS Size Matching and Scaling; Additive manufacturing -- Design method -- Lattice structure -- Optimization -- Functional surface -- Functional volume; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Periodicals; Computer graphics -- Periodicals; Conception technique -- Informatique -- Périodiques; Infographie -- Périodiques; Computer graphics; Engineering design -- Data processing; Periodicals; Electronic journals; 620.00420285
• DOI: 10.1016/j.cad.2015.06.001
• Languages: English
• ISSNs: 0010-4485

Abstract

Abstract: Unlike traditional manufacturing methods, additive manufacturing can produce parts with complex geometric structures without significant increases in fabrication time and cost. One application of additive manufacturing technologies is the fabrication of customized lattice-skin structures which can enhance performance of products while minimizing material or weight. In this paper, a novel design method for the creation of periodic lattice structures is proposed. In this method, Functional Volumes (FVs) and Functional Surfaces (FSs) are first determined based on an analysis of the functional requirements. FVs can be further decomposed into several sub-FVs. These sub-FVs can be divided into two types: FV with solid and FV with lattice. The initial design parameters of the lattice are selected based on the proposed guidelines. Based on these parameters, a kernel based lattice frame generation algorithm is used to generate lattice wireframes within the given FVs. At last, traditional bidirectional evolutionary structural optimization is modified to optimize distribution of lattice struts' thickness. The design method proposed in this paper is validated through a case study, and provides an important foundation for the wide adoption of additive manufacturing technologies in the industry. Graphical abstract: Highlights: Both functional roles of solid volume and skin structure are considered. Lattice orientation is introduced that may be adjusted to improve performance. Increased speed of lattice frame generation. Structural stiffness is increased by the proposed optimization algorithm.