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<p>The future of manufacturing is characterized by a prevailing inclination towards high precision and intelligence. To achieve this objective, the implementation of machining process monitoring technology is imperative. Various detrimental factors, such as tool wear, can compromise both the safety and quality of the machining process. Consequently, monitoring the machining process becomes indispensable. Existing literature reviews have primarily centered around the encapsulation of direct and indirect monitoring methodologies, along with their distinct applications in the realm of precision and ultra-precision machining (UPM) processes. However, these reviews fail to adequately summarize the intelligent aspects of monitoring precision machining/UPM processes. Consequently, the principal aim of this study is to meticulously scrutinize and analyze prior research endeavors concerning the monitoring of precision machining and UPM processes. Building upon this foundation, we shall delve into an exploration of advanced monitoring systems that are formed through the fusion of intelligent algorithms. In this academic paper, we begin by providing a comprehensive overview of the three commonly employed monitoring methods in recent monitoring systems. Subsequently, to facilitate a thorough examination of the application of monitoring technology, we present an overview of the various scenarios in which monitoring technology finds its application. Lastly, we delve into the integration of well-established monitoring technologies with state-of-the-art intelligent algorithms, aiming to monitor machining processes effectively. This paper contributes to the field of intelligent monitoring of precision machining processes in two significant ways. Firstly, it systematically summarizes the advancements in intelligent monitoring from recent years and proposes future research priorities in this domain. Secondly, the objective is to enhance readers’ comprehension of this research area and provide a valuable reference for the subsequent profound development of intelligent monitoring technologies.</p>

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Advances in monitoring system and application in precision/ultra-precision machining processes

  • 期刊论文

  • 发表日期：

    2025年10月2日

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  • Guoqing Zhang,
  • Mingguo Peng,
  • Wenqi Zhang,
  • Minghua Pan,
  • Zejiang Xu,
  • Jiangfeng Zheng

摘要

The future of manufacturing is characterized by a prevailing inclination towards high precision and intelligence. To achieve this objective, the implementation of machining process monitoring technology is imperative. Various detrimental factors, such as tool wear, can compromise both the safety and quality of the machining process. Consequently, monitoring the machining process becomes indispensable. Existing literature reviews have primarily centered around the encapsulation of direct and indirect monitoring methodologies, along with their distinct applications in the realm of precision and ultra-precision machining (UPM) processes. However, these reviews fail to adequately summarize the intelligent aspects of monitoring precision machining/UPM processes. Consequently, the principal aim of this study is to meticulously scrutinize and analyze prior research endeavors concerning the monitoring of precision machining and UPM processes. Building upon this foundation, we shall delve into an exploration of advanced monitoring systems that are formed through the fusion of intelligent algorithms. In this academic paper, we begin by providing a comprehensive overview of the three commonly employed monitoring methods in recent monitoring systems. Subsequently, to facilitate a thorough examination of the application of monitoring technology, we present an overview of the various scenarios in which monitoring technology finds its application. Lastly, we delve into the integration of well-established monitoring technologies with state-of-the-art intelligent algorithms, aiming to monitor machining processes effectively. This paper contributes to the field of intelligent monitoring of precision machining processes in two significant ways. Firstly, it systematically summarizes the advancements in intelligent monitoring from recent years and proposes future research priorities in this domain. Secondly, the objective is to enhance readers’ comprehension of this research area and provide a valuable reference for the subsequent profound development of intelligent monitoring technologies.