Investigating the Potential of Smart Manufacturing Technologies

被引:20
作者
Zenisek, Jan [1 ,2 ]
Wild, Norbert [1 ]
Wolfartsberger, Josef [1 ]
机构
[1] Univ Appl Sci Upper Austria, Ctr Excellence Smart Prod, Campus Hagenberg, Wels, Steyr, Austria
[2] Johannes Kepler Univ Linz, Inst Formal Models & Verificat, Linz, Austria
来源
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING (ISM 2020) | 2021年 / 180卷
关键词
smart manufacturing; augmented reality; additive manufacturing; predictive maintenance; LASER METAL-DEPOSITION; AUGMENTED REALITY APPLICATIONS; MICROSTRUCTURE; PARAMETERS; DESIGN;
D O I
10.1016/j.procs.2021.01.269
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Over the past years, the topic of smart manufacturing has been in the focus of researchers and manufacturing experts. Smart manufacturing describes the technology-driven ability to solve existing and future problems in a collaborative manufacturing infrastructure, which responds in real-time to meet changing demands. However, many companies are still unsure what smart manufacturing entails and which potential (and challenges) it holds. To get an insight into the issues addressed, a technology laboratory for the development of innovative technologies and concepts for intelligent production along the product life cycle was established at University of Applied Sciences Upper Austria. This paper offers an insight into the challenges and lessons learned from a 6-year research project where a subset of smart manufacturing technologies have been collaboratively investigated, including Mixed Reality, Additive Manufacturing and Predictive Maintenance. With our work, we want to support companies in better assessing the potential of smart manufacturing. (C) 2021 The Authors. Published by Elsevier B.V.
引用
收藏
页码:507 / 516
页数:10
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