Bridging topology optimization and additive manufacturing

被引:342
|
作者
Zegard, Tomas [1 ]
Paulino, Glaucio H. [1 ,2 ]
机构
[1] Univ Illinois, Dept Civil & Environm Engn, 205 N Mathews Ave, Urbana, IL 61801 USA
[2] Georgia Inst Technol, Sch Civil & Environm Engn, 790 Atlantic Dr, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
Additive manufacturing; Ground structure method; Density-based topology optimization; Three-dimensional optimal structures; Structural manufacturing; POPULAR BENCHMARK PROBLEMS; WEIGHT TRUSS LAYOUTS; TRAPEZOIDAL DOMAINS; MICHELL LAYOUTS; DESIGN; COMBINATIONS; ALGORITHM; GEOMETRY; FILTERS; WRITTEN;
D O I
10.1007/s00158-015-1274-4
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Topology optimization is a technique that allows for increasingly efficient designs with minimal a priori decisions. Because of the complexity and intricacy of the solutions obtained, topology optimization was often constrained to research and theoretical studies. Additive manufacturing, a rapidly evolving field, fills the gap between topology optimization and application. Additive manufacturing has minimal limitations on the shape and complexity of the design, and is currently evolving towards new materials, higher precision and larger build sizes. Two topology optimization methods are addressed: the ground structure method and density-based topology optimization. The results obtained from these topology optimization methods require some degree of post-processing before they can be manufactured. A simple procedure is described by which output suitable for additive manufacturing can be generated. In this process, some inherent issues of the optimization technique may be magnified resulting in an unfeasible or bad product. In addition, this work aims to address some of these issues and propose methodologies by which they may be alleviated. The proposed framework has applications in a number of fields, with specific examples given from the fields of health, architecture and engineering. In addition, the generated output allows for simple communication, editing, and combination of the results into more complex designs. For the specific case of three-dimensional density-based topology optimization, a tool suitable for result inspection and generation of additive manufacturing output is also provided.
引用
收藏
页码:175 / 192
页数:18
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