Joint Optimization Strategy of Predictive Maintenance and Tool Replacement for Energy Consumption Control

With the rise of sustainable development and energy-saving mode in the manufacturing industry, a joint optimization strategy of machine predictive maintenance and tool replacement is proposed aiming to meet the needs of energy control and maintenance decision for computer numerical control (CNC) mac...

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Autores principales:	SHI Guo, SI Guojin, XIA Tangbin, PAN Ershun, XI Lifeng
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Journal of Shanghai Jiao Tong University 2020
Materias:	predictive maintenance (pm) tool replacement energy consumption sustainable manufacturing joint optimization Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
Acceso en línea:	https://doaj.org/article/5ccd97d33a9044a3bd5ddb8b558ae00c
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spelling	oai:doaj.org-article:5ccd97d33a9044a3bd5ddb8b558ae00c2021-11-04T09:34:51ZJoint Optimization Strategy of Predictive Maintenance and Tool Replacement for Energy Consumption Control1006-246710.16183/j.cnki.jsjtu.2019.134https://doaj.org/article/5ccd97d33a9044a3bd5ddb8b558ae00c2020-12-01T00:00:00Zhttp://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2019.134https://doaj.org/toc/1006-2467With the rise of sustainable development and energy-saving mode in the manufacturing industry, a joint optimization strategy of machine predictive maintenance and tool replacement is proposed aiming to meet the needs of energy control and maintenance decision for computer numerical control (CNC) machine and tools. The non-value-added energy consumption is taken as the research emphasis, while the phased tool wear evolution is introduced into the energy modeling of the CNC machine. First, predictive maintenance (PM) scheduling of the CNC machine based on healthy evolution aims to achieve the minimization of the non-value-added power. Secondly, based on the sequential outputs of the CNC machine PM intervals, a joint replacement model of the tool is also established considering comprehensive energy saving and economy. The optimal cycle interval of tool preventive replacement and the CNC machine PM is obtained in the joint optimization layer. The case study analysis shows that compared with the traditional maintenance strategies, this joint optimization strategy can significantly reduce the total non-value-added energy consumption.SHI GuoSI GuojinXIA TangbinPAN ErshunXI LifengEditorial Office of Journal of Shanghai Jiao Tong Universityarticlepredictive maintenance (pm)tool replacementenergy consumptionsustainable manufacturingjoint optimizationEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156Naval architecture. Shipbuilding. Marine engineeringVM1-989ZHShanghai Jiaotong Daxue xuebao, Vol 54, Iss 12, Pp 1235-1243 (2020)
institution	DOAJ
collection	DOAJ
language	ZH
topic	predictive maintenance (pm) tool replacement energy consumption sustainable manufacturing joint optimization Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
spellingShingle	predictive maintenance (pm) tool replacement energy consumption sustainable manufacturing joint optimization Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989 SHI Guo SI Guojin XIA Tangbin PAN Ershun XI Lifeng Joint Optimization Strategy of Predictive Maintenance and Tool Replacement for Energy Consumption Control
description	With the rise of sustainable development and energy-saving mode in the manufacturing industry, a joint optimization strategy of machine predictive maintenance and tool replacement is proposed aiming to meet the needs of energy control and maintenance decision for computer numerical control (CNC) machine and tools. The non-value-added energy consumption is taken as the research emphasis, while the phased tool wear evolution is introduced into the energy modeling of the CNC machine. First, predictive maintenance (PM) scheduling of the CNC machine based on healthy evolution aims to achieve the minimization of the non-value-added power. Secondly, based on the sequential outputs of the CNC machine PM intervals, a joint replacement model of the tool is also established considering comprehensive energy saving and economy. The optimal cycle interval of tool preventive replacement and the CNC machine PM is obtained in the joint optimization layer. The case study analysis shows that compared with the traditional maintenance strategies, this joint optimization strategy can significantly reduce the total non-value-added energy consumption.
format	article
author	SHI Guo SI Guojin XIA Tangbin PAN Ershun XI Lifeng
author_facet	SHI Guo SI Guojin XIA Tangbin PAN Ershun XI Lifeng
author_sort	SHI Guo
title	Joint Optimization Strategy of Predictive Maintenance and Tool Replacement for Energy Consumption Control
title_short	Joint Optimization Strategy of Predictive Maintenance and Tool Replacement for Energy Consumption Control
title_full	Joint Optimization Strategy of Predictive Maintenance and Tool Replacement for Energy Consumption Control
title_fullStr	Joint Optimization Strategy of Predictive Maintenance and Tool Replacement for Energy Consumption Control
title_full_unstemmed	Joint Optimization Strategy of Predictive Maintenance and Tool Replacement for Energy Consumption Control
title_sort	joint optimization strategy of predictive maintenance and tool replacement for energy consumption control
publisher	Editorial Office of Journal of Shanghai Jiao Tong University
publishDate	2020
url	https://doaj.org/article/5ccd97d33a9044a3bd5ddb8b558ae00c
work_keys_str_mv	AT shiguo jointoptimizationstrategyofpredictivemaintenanceandtoolreplacementforenergyconsumptioncontrol AT siguojin jointoptimizationstrategyofpredictivemaintenanceandtoolreplacementforenergyconsumptioncontrol AT xiatangbin jointoptimizationstrategyofpredictivemaintenanceandtoolreplacementforenergyconsumptioncontrol AT panershun jointoptimizationstrategyofpredictivemaintenanceandtoolreplacementforenergyconsumptioncontrol AT xilifeng jointoptimizationstrategyofpredictivemaintenanceandtoolreplacementforenergyconsumptioncontrol
_version_	1718444961445183488

Joint Optimization Strategy of Predictive Maintenance and Tool Replacement for Energy Consumption Control

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