Bidirectional Evolutionary Structural Optimization (BESO) based design method for lattice structure to be fabricated by additive manufacturing
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 e...
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Published in | Computer aided design Vol. 69; pp. 91 - 101 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.12.2015
Elsevier |
Subjects | |
Online Access | Get full text |
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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.
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•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. |
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AbstractList | 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.
[Display omitted]
•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. 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 validated through a case study, and provides an important foundation for the wide adoption of additive manufacturing technologies in the industry. |
Author | Zhao, Yaoyao Fiona Tang, Yunlong Kurtz, Aidan |
Author_xml | – sequence: 1 givenname: Yunlong surname: Tang fullname: Tang, Yunlong email: tang.yunlong@mail.mcgill.ca, tangyunlong2011@gmail.com – sequence: 2 givenname: Aidan surname: Kurtz fullname: Kurtz, Aidan email: aidan.kurtz@mail.mcgill.ca – sequence: 3 givenname: Yaoyao Fiona surname: Zhao fullname: Zhao, Yaoyao Fiona email: yaoyao.zhao@mcgill.ca |
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Keywords | BESO ESO FEA Functional surface Additive manufacturing Functional volume AM FS Optimization FV DFAM RBE Design method SMS BNF Lattice structure lattice structure optimization,functional surface design method functional volume |
Language | English |
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SubjectTerms | Additive manufacturing Design method Engineering Sciences Functional surface Functional volume Lattice structure Mechanical engineering Mechanics Optimization Structural mechanics |
Title | Bidirectional Evolutionary Structural Optimization (BESO) based design method for lattice structure to be fabricated by additive manufacturing |
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