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

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International Journal of Precision Engineering and Manufacturing https://doi.org/10.1007/s12541-020-00403-y

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A Digital Twin‑Driven Approach for On‑line Controlling Quality of Marine Diesel Engine Critical Parts De‑Jun Cheng1 · Jie Zhang1 · Zhong‑Tai Hu1 · Sheng‑Hao Xu1 · Xi‑Feng Fang1 Received: 16 March 2020 / Revised: 16 July 2020 / Accepted: 3 August 2020 © Korean Society for Precision Engineering 2020

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. Keywords  Digital twin · On-line quality control · Data fusion technology · On-line machining parameters optimization · Marine diesel engine critical parts

1 Introduction With the development strategies of manufacturing industry are issued such as “Industry 4.0”, “Ocean Engineering” and “High-Tech” in “Made in China 2025”, etc., advanced manufacturing models will fundamentally change daily life, style of work and production models [1]. In the manufacturing industry, the modern manufacturing process becomes more efficient, lean and intelligent. Thereby, the quality of products becomes more important. Especially in the machining process of critical parts for MDE, how to improve the quality of MDE has become a top priority in the processing of MDE [2]. In the machining process of MDE, the abundant data are generated which are multifocal and complicated. These large amounts of data are important to evaluate whether machining processing quality meets the technological requirements and specification. These data also provide data support and technical guidance for the follow-up continuous * Xi‑Feng Fang [email protected] 1



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

improvement of processing quality. Thereby, the study on the quality control of MDE has become an effective method to improve the MDE quality. The quality control modes and control process for the critical parts of MDE are proposed according to traditional manufacturing