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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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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. |
format | Online Article Text |
id | pubmed-5134585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liangqiaokang methodsandresearchformulticomponentcuttingforcesensingdevicesandapproachesinmachining AT zhangdan methodsandresearchformulticomponentcuttingforcesensingdevicesandapproachesinmachining AT wuwanneng methodsandresearchformulticomponentcuttingforcesensingdevicesandapproachesinmachining AT zoukunlin methodsandresearchformulticomponentcuttingforcesensingdevicesandapproachesinmachining |