JZUS - Journal of Zhejiang University SCIENCE

Journal of Zhejiang University SCIENCE A

Accepted manuscript available online (unedited version)

In-process cutting temperature measurement for ultra-precision machining: a comprehensive review and future perspectives

Author(s): Shiquan LIU, Yuqi DING, Kaiyang XIA, Hui LI, Liang AN, Zhongwei LI, Yuan-Liu CHEN
Affiliation(s): State Key Lab of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China
Corresponding email(s): yuanliuchen@zju.edu.cn
Key Words: Cutting temperature measurement; Ultra-precision machining (UPM); In-process monitoring; Smart sensors; Micro-scale cutting zones

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Shiquan LIU, Yuqi DING, Kaiyang XIA, Hui LI, Liang AN, Zhongwei LI, Yuan-Liu CHEN. In-process cutting temperature measurement for ultra-precision machining: a comprehensive review and future perspectives[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2500067

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author="Shiquan LIU, Yuqi DING, Kaiyang XIA, Hui LI, Liang AN, Zhongwei LI, Yuan-Liu CHEN",
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doi="https://doi.org/10.1631/jzus.A2500067"
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%T In-process cutting temperature measurement for ultra-precision machining: a comprehensive review and future perspectives
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%A Yuqi DING
%A Kaiyang XIA
%A Hui LI
%A Liang AN
%A Zhongwei LI
%A Yuan-Liu CHEN
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doi="https://doi.org/10.1631/jzus.A2500067"

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T1 - In-process cutting temperature measurement for ultra-precision machining: a comprehensive review and future perspectives
A1 - Shiquan LIU
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A1 - Kaiyang XIA
A1 - Hui LI
A1 - Liang AN
A1 - Zhongwei LI
A1 - Yuan-Liu CHEN
J0 - Journal of Zhejiang University Science A
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PB - Zhejiang University Press & Springer
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doi="https://doi.org/10.1631/jzus.A2500067"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: With the widespread adoption of ultra-precision machining (UPM) in manufacturing, accurately monitoring the temperature within microscale cutting zones has become crucial for ensuring machining quality and tool longevity. This review comprehensively evaluates modern in-process cutting temperature measurement methods, comparing conventional approaches and emerging technologies. Thermal conduction-based and radiation-based measurement paradigms are analyzed in terms of their merits, limitations, and do-main-specific applicability, particularly with regards to the unique challenges involving micro-scale cutting zones in UPM. Special emphasis is placed on micro-scale sensor-integrated tools and self-sensing tools that enable real-time thermal monitoring at cutting edges. Furthermore, we explore thermal monitoring and management techniques for atomic and close-to-atomic scale (ACSM) manufacturing, as well as the transformative potential of emerging technologies like artificial intelligence (AI), internet of things (IoT), and data fusion for machining temperature measurement. This review may serve as a reference for UPM cutting temperature meas-urement research, helping foster the development of optimized process control technologies.

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