Challenges in topology optimization for hybrid additive-subtractive manufacturing: A review

Liu, Jikai1,2; Huang, Jiaqi1,2; Zheng, Yufan3; Hou, Shuai4; Xu, Shuzhi5; Ma, Yongsheng6; Huang, Chuanzhen7; Zou, Bin1,2; Li, Lei1,2

2023-08-01

10.1016/j.cad.2023.103531

COMPUTER-AIDED DESIGN   影响因子和分区

0010-4485

1879-2685

Hybrid additive-subtractive manufacturing (HASM) is a revolutionary technique that fabricates complex-shaped parts in high precision. One setup to finish complicated manufacturing opera-tions ensures high efficiency, and the interlacement of additive-subtractive operations fabricates conventionally difficult-to-process complex geometries. On the other hand, the expensive hybrid manufacturing equipment, the tedious preprocessing and extended processing time, the costly raw materials all make the utilization of HASM to process simply-designed mechanical components uneco-nomical. Hence, this paper is focused on design for HASM, to create the suitable mechanical structures for HASM endowed of superior functionality and light-weight features over the traditional counterpart. The performance enhancement is in general realized by expanding the geometric complexity to the level that is difficult-to-process or even unmanufacturable by traditional manufacturing techniques. HASM-oriented topology optimization is specifically focused and the state-of-the-art is reviewed and analyzed in this comprehensive paper. Starting from topology optimization for additive/subtractive manufacturing, the existing methods are thoroughly reviewed and their potentials to address design for HASM issues are carefully analyzed. Then, two critical problems: (i) topology optimization for HASM addressing residual stress/distortion constraints and (ii) process planning-assisted topology optimization for HASM addressing tool accessibility constraints, are illustrated and discussed on related technical challenges and potential solutions. At the end, the unaddressed technical issues on topology optimization for HASM are summarized to provide guidance for future research.(c) 2023 Elsevier Ltd. All rights reserved.

Hybrid additive-subtractive manufacturing Design for manufacturing Topology optimization Residual stress distortion Process planning Manufacturability analysis

SCI ; EI

英语

其他

National Natural Science Foundation of China[52105462] ; Natural Science Foundation of Shandong Province, China[ZR2020QE165] ; Shandong Provincial Key Research and Development Program, China (Major Scientific and Technological Innovation Project)[2021CXGC010206] ; China Postdoctoral Science Foundation[2020M682173]

Computer Science

Computer Science, Software Engineering

WOS:000990771100001

ELSEVIER SCI LTD

20231714024806

3D printing ; Additives ; Hybrid materials ; Process planning ; Shape optimization ; Topology

Printing Equipment:745.1.1 ; Chemical Agents and Basic Industrial Chemicals:803 ; Production Engineering:913.1 ; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4 ; Optimization Techniques:921.5

COMPUTER SCIENCE

Web of Science

1.Shandong Univ, Ctr Adv Jet Engn Technol CaJET, Sch Mech Engn, Key Lab High Efficiency & Clean Mech Manufacture,M, Jinan 250061, Peoples R China
2.Shandong Univ, Key Natl Demonstrat Ctr Expt Mech Engn Educ, Jinan, Peoples R China
3.Xian Jiaotong Liverpool Univ, Sch Intelligent Mfg Ecosyst, Suzhou, Peoples R China
4.Latec Adv Mfg Ltd, Jinan, Peoples R China
5.Univ Alberta, Dept Mech Engn, Edmonton, AB, Canada
6.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China
7.Yanshan Univ, Sch Mech Engn, Qinhuangdao 066004, Peoples R China

Liu, Jikai,Huang, Jiaqi,Zheng, Yufan,et al. Challenges in topology optimization for hybrid additive-subtractive manufacturing: A review[J]. COMPUTER-AIDED DESIGN,2023,161.

Liu, Jikai.,Huang, Jiaqi.,Zheng, Yufan.,Hou, Shuai.,Xu, Shuzhi.,...&Li, Lei.(2023).Challenges in topology optimization for hybrid additive-subtractive manufacturing: A review.COMPUTER-AIDED DESIGN,161.

Liu, Jikai,et al."Challenges in topology optimization for hybrid additive-subtractive manufacturing: A review".COMPUTER-AIDED DESIGN 161(2023).