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

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 cutt...

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Detalles Bibliográficos
Autores principales: Liang, Qiaokang, Zhang, Dan, Wu, Wanneng, Zou, Kunlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134585/
https://www.ncbi.nlm.nih.gov/pubmed/27854322
http://dx.doi.org/10.3390/s16111926
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author Liang, Qiaokang
Zhang, Dan
Wu, Wanneng
Zou, Kunlin
author_facet Liang, Qiaokang
Zhang, Dan
Wu, Wanneng
Zou, Kunlin
author_sort Liang, Qiaokang
collection PubMed
description 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.
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spelling pubmed-51345852017-01-03 Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining Liang, Qiaokang Zhang, Dan Wu, Wanneng Zou, Kunlin Sensors (Basel) Review 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. MDPI 2016-11-16 /pmc/articles/PMC5134585/ /pubmed/27854322 http://dx.doi.org/10.3390/s16111926 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Liang, Qiaokang
Zhang, Dan
Wu, Wanneng
Zou, Kunlin
Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining
title Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining
title_full Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining
title_fullStr Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining
title_full_unstemmed Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining
title_short Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining
title_sort methods and research for multi-component cutting force sensing devices and approaches in machining
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134585/
https://www.ncbi.nlm.nih.gov/pubmed/27854322
http://dx.doi.org/10.3390/s16111926
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