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A conceptual digital twin for cost-effective development of a welding robotic system for smart manufacturing

A conceptual digital twin for cost-effective development of a welding robotic system for smart manufacturing

Vu, Minh Duc, My, Chu Anh, Nguyen, The Nguyen, Le, Anh, Ta, Minh Thanh, Duong, Xuang Bien, Nguyen, Tien Anh, Le, Chi Hieu ORCID: 0000-0002-5168-2297 and Chu, Duc Hoang (2021) A conceptual digital twin for cost-effective development of a welding robotic system for smart manufacturing. In: Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). Lecture Notes in Mechanical Engineering . Springer Nature, Cham, Switzerland, pp. 1018-1025. ISBN 978-3030696108 ISSN 2195-4356 (Print), 2195-4364 (Online) (doi:https://doi.org/10.1007/978-3-030-69610-8_134)

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Abstract

With rapid technology advancements and impacts of digital trans-formation technologies, there have been a lot of efforts in recent years at the global and national scope to develop technology eco-systems moving toward Industry 4.0. There has also been a growing number of studies about optimization of process parameters based on AI, IoT and Bigdata analytics, including CNC machining, additive manufacturing, as well as industrial welding with robots, for development of Smart Manufacturing (SM), which is one of the key elements of Industry 4.0. However, there are challenges to fully develop and apply in industrial practices the ideal SM models in the next 5 to 10 years. It is necessary to develop the cost-effective SM models that are easy to understand with a high level of applicability in practice and adoptability for SMEs. In this paper, a conceptual digital twin is proposed, with the focus on cost-effective design and development of a welding robotic system for smart manufacturing.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020)
Uncontrolled Keywords: welding robot, digital twin, smart manufacturing
Subjects: T Technology > TS Manufactures
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Design, Manufacturing and Innovative Products Research Theme
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 30 Jun 2021 14:37
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/32270

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