Intelligent additive manufacturing and design state of the art and future perspectives
|Corresponding Author||Xiong，Yi; Tang，Yunlong|
In additive manufacturing (AM), intelligent technologies are proving to be a powerful tool for facilitating economic, efficient, and effective decision-making within the product and service development. Such capabilities hold great promise to significantly improve the producibility, repeatability, and reproducibility of the additive manufacturing process and unlock its complete design freedom for product innovation. This paper defines the concept of intelligent additive manufacturing and design (IAMD) while providing a triple-layer model for reference. Details about these three layers, i.e., digital thread layer, cyber-physical layer, and intelligent service layer, are presented. Moreover, both scientific and engineering challenges raised during the studies and implementations of IAMD are discussed together with potential solutions. The paper also outlines the future perspective on IAMD towards the directions of integrated design and manufacturing, cyber-physical AM, advanced artificial intelligence for AM, digital materials and products, as well as design for AM process chain.
First ; Corresponding
National Key Research and Development Program of China[2021YFB1715400];National Natural Science Foundation of China;National Research Foundation Singapore[A19E10097];
|WOS Research Area|
Engineering ; Materials Science
Engineering, Manufacturing ; Materials Science, Multidisciplinary
|WOS Accession No|
Cited Times [WOS]:9
|Document Type||Journal Article|
|Department||School of System Design and Intelligent Manufacturing|
1.School of System Design and Intelligent Manufacturing,Southern University of Science and Technology,Shenzhen,518055,China
2.Mechanical and Aerospace Engineering Department,Monash University,Melbourne,3168,Australia
3.Materials Science and Engineering Department,Monash University,Melbourne,3168,Australia
4.School of Aerospace Engineering,Huazhong University of Science & Technology,Wuhan,430074,China
5.Department of Mechanical and Energy Engineering,Southern University of Science and Technology,Shenzhen,518055,China
6.Digital Manufacturing and Design (DManD) Centre,Singapore University of Technology and Design,8 Somapah Road,487372,Singapore
7.The G. W. Woodruff School of Mechanical Engineering,Georgia Institute of Technology,Atlanta,30332,United States
|First Author Affilication||School of System Design and Intelligent Manufacturing|
|Corresponding Author Affilication||School of System Design and Intelligent Manufacturing|
|First Author's First Affilication||School of System Design and Intelligent Manufacturing|
Xiong，Yi,Tang，Yunlong,Zhou，Qi,et al. Intelligent additive manufacturing and design state of the art and future perspectives[J]. Additive Manufacturing,2022,59.
Xiong，Yi,Tang，Yunlong,Zhou，Qi,Ma，Yongsheng,&Rosen，David W..(2022).Intelligent additive manufacturing and design state of the art and future perspectives.Additive Manufacturing,59.
Xiong，Yi,et al."Intelligent additive manufacturing and design state of the art and future perspectives".Additive Manufacturing 59(2022).
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