Title | Human-machine collaborative additive manufacturing |
Author | |
Corresponding Author | Xiong, Yi |
Publication Years | 2023-02-01
|
DOI | |
Source Title | |
ISSN | 0278-6125
|
EISSN | 1878-6642
|
Volume | 66 |
Abstract | Recent advances in additive manufacturing have transformed the technology from a rapid prototyping tool into a viable production option. Within such transition, the relationships between human-machine in both cyber and physical spaces of additive manufacturing become diverse and complex. It is of great significance to gain insight and build a clear understanding of these relationships in the context of human-cyber-physical systems (HCPS) to facilitate the performance of the human-machine collaboration in various application scenarios of additive manufacturing. The paper utilizes the existing HCPS reference models to examines the emerging research field of human-machine collaborative additive manufacturing, focusing on typical scenarios, definitions, and classifi-cations. The collaboration activities are divided into active-supportive and active-active types. For the active -supportive type, intelligent additive manufacturing and human augmentation are detailed. Also, human -machine co-creation, as an active-active type, is covered. The paper concludes with a discussion of theoretical and practical implications and opportunities for future research. |
Keywords | |
URL | [Source Record] |
Indexed By | |
Language | English
|
SUSTech Authorship | First
; Corresponding
|
Funding Project | National Key Research and Development Program of China[2021YFB1715400]
; National Natural Science Foundation of China[52105261]
; Singapore National Research Foundation[A19E10097]
|
WOS Research Area | Engineering
; Operations Research & Management Science
|
WOS Subject | Engineering, Industrial
; Engineering, Manufacturing
; Operations Research & Management Science
|
WOS Accession No | WOS:000913499000001
|
Publisher | |
ESI Research Field | ENGINEERING
|
Data Source | Web of Science
|
Citation statistics |
Cited Times [WOS]:1
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/425238 |
Department | School of System Design and Intelligent Manufacturing |
Affiliation | 1.Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen 518055, Peoples R China 2.Monash Univ, Mech & Aerosp Engn Dept, Melbourne 3168, Australia 3.Monash Univ, Mat Sci & Engn Dept, Melbourne 3168, Australia 4.Jeonju Univ, Dept Mech Syst Engn, Jeonju Si 55069, Jeollabuk Do, South Korea 5.Singapore Univ Technol & Design, Digital Mfg & Design DManD Ctr, 8 Somapah Rd, Singapore 487372, Singapore 6.Georgia Inst Technol, GW Woodruff Sch Mech Engn, Atlanta, GA 30332 USA |
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 |
Recommended Citation GB/T 7714 |
Xiong, Yi,Tang, Yunlong,Kim, Samyeon,et al. Human-machine collaborative additive manufacturing[J]. JOURNAL OF MANUFACTURING SYSTEMS,2023,66.
|
APA |
Xiong, Yi,Tang, Yunlong,Kim, Samyeon,&Rosen, David W..(2023).Human-machine collaborative additive manufacturing.JOURNAL OF MANUFACTURING SYSTEMS,66.
|
MLA |
Xiong, Yi,et al."Human-machine collaborative additive manufacturing".JOURNAL OF MANUFACTURING SYSTEMS 66(2023).
|
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