Smart manufacturing based on Digital Twin technologies
Shohin Aheleroff, Jan Polzer, Huiyue Huang, Zexuan Zhu, David Tomzik, Yuqian Lu, Yuan Lin, Xun Xu
- Year
- 2020
- Citations
- 5
Abstract
The fourth industrial revolution holds the promise of increased flexibility in manufacturing, along with mass personalization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead time to market and higher quality. Future manufacturing systems will become smart manufacturing systems that can respond in real time to dynamic changes via ubiquitous sensing, reconfigurable manufacturing processes, artificial intelligence-based decision-making, and end-to-end visibility. Digital Twin (DT), as an emerging technology that replicates physical assets in the digital space, plays a significant role in enabling smart manufacturing systems and operations. This chapter elaborates the vision of DT-based smart manufacturing, together with representative DT-enabled smart manufacturing scenarios and case studies in product design, machining, industrial robot, and process optimization.
Keywords
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