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Sensors 2016, 16(11), 1926; doi:10.3390/s16111926

Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining

1,2,* , 3,4,* , 1,2
and
1,2
1
College of Electric and Information Technology, Hunan University, Changsha 410082, China
2
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China
3
School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
4
Department of Mechanical Engineering, York University, Toronto, ON M3J 1P3, Canada
*
Authors to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 18 August 2016 / Revised: 9 November 2016 / Accepted: 11 November 2016 / Published: 16 November 2016
(This article belongs to the Special Issue Advanced Robotics and Mechatronics Devices)
View Full-Text   |   Download PDF [1694 KB, uploaded 16 November 2016]   |  

Abstract

Multi-component cutting force sensing systems in manufacturing processes applied to cutting tools are gradually becoming the most significant monitoring indicator. Their signals have been extensively applied to evaluate the machinability of workpiece materials, predict cutter breakage, estimate cutting tool wear, control machine tool chatter, determine stable machining parameters, and improve surface finish. Robust and effective sensing systems with capability of monitoring the cutting force in machine operations in real time are crucial for realizing the full potential of cutting capabilities of computer numerically controlled (CNC) tools. The main objective of this paper is to present a brief review of the existing achievements in the field of multi-component cutting force sensing systems in modern manufacturing. View Full-Text
Keywords: multi-component force sensing system; in-process measurement of cutting force; sensors for unmanned machining multi-component force sensing system; in-process measurement of cutting force; sensors for unmanned machining
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Liang, Q.; Zhang, D.; Wu, W.; Zou, K. Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining. Sensors 2016, 16, 1926.

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