中文版 | English
Title

Human-machine collaborative additive manufacturing

Author
Corresponding AuthorXiong, Yi
Publication Years
2023-02-01
DOI
Source Title
ISSN
0278-6125
EISSN
1878-6642
Volume66
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 TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/425238
DepartmentSchool 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 AffilicationSchool of System Design and Intelligent Manufacturing
Corresponding Author AffilicationSchool of System Design and Intelligent Manufacturing
First Author's First AffilicationSchool 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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