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2017, Volume 19, Issue 3

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Strategic Study of CAE >> 2017, Volume 19, Issue 3 doi: 10.15302/J-SSCAE-2017.03.006

Research on Key Technical Approaches for the Transition from Digital Manufacturing to Intelligent Manufacturing

State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310027, China

Funding project：中国工程院咨询项目“从数字制造到智能制造的技术途径”(2014-XY-03) Received: 2017-04-25 Revised: 2017-05-16 Available online: 2017-07-10 14:17:52.000
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Abstract

Based on a thorough study of the implications and key techniques of intelligent manufacturing, this paper proposes three development models and specific technical approaches to assist in China's transition from digital manufacturing to intelligent manufacturing. Starting from the production characteristics of a typical industry, it puts forward a corresponding technical roadmap for the development of intelligent manufacturing. This roadmap provides guidance for technical approaches that can promote the development of China's manufacturing industry from digital manufacturing to intelligent manufacturing.

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References

[ 1 ] Zhou Z D, Fuh J, Xie S, et al. Digital manufacturing and cloud manufacturing [J]. Advances in Mechanical Engineering, 2013 (4):1–2. link1

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[ 3 ] Lu Y X. Toward green manufacturing and intelligent manufactur-ing—Development road of China manufacturing [J]. China Me-chanical Engineering, 2010, 21(4): 379–386. Chinese. link1

[ 4 ] Zhu J Y. The significance, technologies and implementation of intelligent manufacturing [J]. Machine Building & Automation, 2013, 42(3): 1–7. Chinese. link1

[ 5 ] Fu J Z. Development status and trend of intelligent manufacturing equipment [J]. Journal of Mechanical & Electrical Engineering, 2014, 31(8): 959–962. Chinese. link1

[ 6 ] Li B H, Zhang L, Ren L, et al. Typical characteristics, technologies and applications of cloud manufacturing [J]. Computer Integrated Manufacturing Systems, 2012, 18(7): 1345–1356. Chinese.

[ 7 ] Wang T M, Tao Y. Research status and industrialization develop-ment strategy of Chinese industrial robot [J]. Journal of Mechani-cal Engineering, 2014, 50(9): 1–13. Chinese. link1

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