Methods and research for multi-component cutting force sensing devices and approaches in machining

Qiaokang Liang, Dan Zhang, Wanneng Wu, Kunlin Zou

Research output: Journal article publicationReview articleAcademic researchpeer-review

30 Citations (Scopus)

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.

Original languageEnglish
Article number1926
JournalSensors (Switzerland)
Volume16
Issue number11
DOIs
Publication statusPublished - 16 Nov 2016
Externally publishedYes

Keywords

  • In-process measurement of cutting force
  • Multi-component force sensing system
  • Sensors for unmanned machining

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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