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A Digital Twin-Driven Approach for On-line Controlling Quality of Marine Diesel Engine Critical Parts

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Abstract

This paper aims to propose a digital twin-driven (DTD) approach that consists of the machining data (MD) in twin data (TD), design of MD acquisition methodology, construction of intelligent algorithm, real-virtual data interaction analysis and fusion technology, which improvs the predictability and management of on-line quality control of marine diesel engine (MDE) critical parts. Firstly, this paper introduces the theoretical framework of DTD on-line quality control in machining process. Secondly, we construct the process of DTD on-line quality control and introduce the digital twin model of on-line quality control based on TD-driven; the operation of data-driven quality on-line control based on digital twin including description and modeling of MD; acquisition of MD based on digital twin; TD-driven on-line tool life prediction and data fusion on-line machining parameters optimization methods. Finally, a case study is applied to validate the accuracy and availability of the DTD approach. The proposed approach provides a new way for the on-line quality control of MDE critical parts in machining process.

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source heterogeneous information composition of key parts machining process

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Authors and Affiliations

  1. School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, China

    De-Jun Cheng, Jie Zhang, Zhong-Tai Hu, Sheng-Hao Xu & Xi-Feng Fang

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  1. De-Jun Cheng
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  2. Jie Zhang
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  3. Zhong-Tai Hu
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Correspondence to Xi-Feng Fang.

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Cheng, DJ., Zhang, J., Hu, ZT. et al. A Digital Twin-Driven Approach for On-line Controlling Quality of Marine Diesel Engine Critical Parts. Int. J. Precis. Eng. Manuf. 21, 1821–1841 (2020). https://doi.org/10.1007/s12541-020-00403-y

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