Affiliation:
1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
2. Engineer Training Center, Shanghai Second Polytechnic University, Shanghai, China
Abstract
In the wake of the continuous deepening of the application of new generation information technology in the manufacturing field, digital twin, as a most new active factors for smart manufacturing, has become a new research hot spot. Based on such a background, the article proposes a novel application framework of digital twin-driven product smart manufacturing system and analyzes its operation mechanism. Key enabling technologies such as digital twin mapping technology with manufacturing entity, twinning of cyber and physical manufacturing system, as well as twining data-driven machining parameter optimization are also illustrated in detail. Finally, a case of the aeroengine fan blade manufacturing is given to demonstrate the feasibility and effectiveness of the implementation method mentioned above. Meanwhile, potential industrial applications and limitations are discussed as well to provide valuable insights to aeroengine blade manufacturers.
Funder
Shanghai Pujiang talent plan project
Subject
Artificial Intelligence,Computer Science Applications,Software
Cited by
59 articles.
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