Topology optimization for metal additive manufacturing: current trends, challenges, and future outlook

被引：89

作者：

Ibhadode, Osezua ^{[1
,2
,4
]}

Zhang, Zhidong ^{[2
]}

Sixt, Jeffrey ^{[2
]}

Nsiempba, Ken M. ^{[2
]}

Orakwe, Joseph ^{[2
]}

Martinez-Marchese, Alexander ^{[2
]}

Ero, Osazee ^{[2
]}

Shahabad, Shahriar Imani ^{[2
]}

Bonakdar, Ali ^{[3
]}

Toyserkani, Ehsan ^{[2
]}

机构：

[1] Univ Alberta, Dept Mech Engn, Edmonton, AB, Canada

[2] Univ Waterloo, Multiscale Addit Mfg Lab, Waterloo, ON, Canada

[3] Siemens Energy Canada Ltd, Montreal, PQ, Canada

[4] Univ Alberta, Donadeo Innovat Ctr Engn, Dept Mech Engn, 10-352,116 St NW, Edmonton, AB T6G 1H9, Canada

来源：

VIRTUAL AND PHYSICAL PROTOTYPING | 2023年 / 18卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Metal additive manufacturing; additive manufacturing; topology optimisation; aerospace; automotive; medical; SELF-SUPPORTING STRUCTURES; MAXIMUM LENGTH SCALE; OVERHANG ANGLE CONTROL; STRUCTURAL OPTIMIZATION; DESIGN OPTIMIZATION; RESIDUAL-STRESSES; LATTICE STRUCTURES; HEAT SINKS; THERMAL-CONDUCTIVITY; TITANIUM IMPLANTS;

D O I：

10.1080/17452759.2023.2181192

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Metal additive manufacturing is gaining immense research attention. Some of these research efforts are associated with physics, statistical, or artificial intelligence-driven process modelling and optimisation, structure-property characterisation, structural design optimisation, or equipment enhancements for cost reduction and faster throughputs. In this review, the focus is drawn on the utilisation of topology optimisation for structural design in metal additive manufacturing. First, the symbiotic relationship between topology optimisation and metal additive manufacturing in aerospace, medical, automotive, and other industries is investigated. Second, support structure design by topology optimisation for thermal-based powder-bed processes is discussed. Third, the introduction of capabilities to limit manufacturing constraints and generate porous features in topology optimisation is examined. Fourth, emerging efforts to adopt artificial intelligence models are examined. Finally, some open-source and commercial software with capabilities for topology optimisation and metal additive manufacturing are explored. This study considers the challenges faced while providing perceptions on future research directions.

引用

页数：53

共 463 条

[81] On utilizing topology optimization to design support structure to prevent residual stress induced build failure in laser powder bed metal additive manufacturing [J].