Dynamic design method of digital twin process model driven by knowledge-evolution machining features

Abstract

Machining plan is the core of guiding manufacturing production and is regarded as one of the keys to ensure the quality of product processing. Existing process design methods are inefficient to quickly handle the machining plan changed induced by the unpredictable events in real-time production. It inevitably causes time and economic losses for the enterprise. In order to express the evolutionary characteristics of product processing, the construction method of digital twin process model (DTPM) is proposed based on the knowledge-evolution machining features. Three key technologies include correlation structure of process knowledge, expression method of the evolution geometric features and the association mechanism between two are solved. On this basis, the construction framework of DTPM is illustrated. Then, the organisation and management mechanism of multi-source heterogeneous data is discussed in detail. At last, a case study of the complex machined part is researched, the results show that the processing time reduced by about 7% and the processing stability improved by 40%. Meanwhile, the implementation scheme, application process and effect of this case are described in detail to provide reference for enterprises.

KEYWORDS:

• Digital twin
• process knowledge
• machining features
• dynamic evolution

Acknowledgements

This work was supported by the [National Natural Science Foundation of China] under Grant [number 52075229]; [The Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China] under Grant [number 20KJA460009].

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number 52075229]; The Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China [grant number 20KJA460009].

Notes on contributors

Jinfeng Liu

Jinfeng Liu was born in Shandong China in 1987. He received the B.S. degree in mechanical manufacturing and automation from Qingdao Binhai University, China, in 2009 and M.S. degrees in mechanical manufacturing and automation from Lanzhou University of Technology, China, in 2011, and Ph.D. degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2016. He is currently an Associate Professor with the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interests include digital manufacturing, process planning and digital twin.

Peng Zhao

Peng Zhao was born in Anhui, China, in 1996. He received the B.S. degree in mechanical design machine automation from Jiangsu University of Science and Technology. Now studying for the M. S. degree at Jiangsu University of Science and Technology. Now engaged in research on digital manufacturing.

Xuwen Jing

Xuwen Jing was born in Jiangsu China in 1964.He received the B.S. degree in mechanical manufacturing and automation from Jiangsu University, China, in 1985 and M.S. degrees in mechanical manufacturing and automation fromHarbin Institute of Technology, China, in 1991,and Ph.D. degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2005. He has been a professor and Vice-President of Jiangsu University of Science and Technology, China. His research interests include concurrent engineering; computer integrated manufacturing system; virtual manufacturing and network manufacturing.

Xuwu Cao

Xuwu Cao was born in Hunan China in 1997. He received the B.S. degree in manufacturing and automation from Linyin University, China, in 2019 and M.S. degrees in manufacturing and automation from Jiangsu University of Science and Technology, China, in 2021. His research interests include concurrent engineering; digital twin technology; quality management en engineering; computer integrated manufacturing.

Sushan Sheng

Sushan Sheng was born in Anhui, China, in 1996. He received the B.S. degree in automobile engineering from Anhui Science and Technology University. Now studying for the M S degree at Jiangsu University of Science and Technology. Now engaged in research on digital manufacturing.

Honggen Zhou

Honggen Zhou was born in Jiangsu China in 1975. He received the B.S. degree in mechanical manufacturing and automation from Harbin Engineering University, China, in 1998 and M.S. degrees in mechanical manufacturing and automation from Jiangsu University of Science and Technology, China, in 2005, and Ph.D. degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2012. He has been a Professor with the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interests include digital manufacturing and digital twin.

Xiaojun Liu

Xiaojun Liu was born in Hebei China in 1982. He received the B.S. degree in mechanical manufacturing and automation from Nanjing Agricultural University, China, in 2005 and Ph.D. degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2011. He is currently an Professor with the School of Mechanical Engineering, Southeast University, China. His research interests include digital design and manufacturing, process planning and digital twin.

Feng Feng

Feng Feng was born in Xinjiang, China, in 1985. In 2007, he graduated from Xi'an University of architecture and technology, majoring in automation, and worked in Shaanxi diesel heavy industry Co., Ltd. Engaged in electric control design for a long time.