Reliability optimization of process parameters for marine diesel engine block hole system machining using improved PSO

Abstract The processing quality of the block hole system affects the working performance of the marine diesel engine block directly. Choosing an appropriate combination of process parameters is a prerequisite to improving the accuracy of the block hole system. Uncertain fluctuations of process param...

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Autores principales:	Honggen Zhou, Weibin Yang, Li Sun, Xuwen Jing, Guochao Li, Liping Cao
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/416196e2ff0a4268ba757ef799c3dbfc
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id	oai:doaj.org-article:416196e2ff0a4268ba757ef799c3dbfc
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spelling	oai:doaj.org-article:416196e2ff0a4268ba757ef799c3dbfc2021-11-14T12:19:47ZReliability optimization of process parameters for marine diesel engine block hole system machining using improved PSO10.1038/s41598-021-01567-x2045-2322https://doaj.org/article/416196e2ff0a4268ba757ef799c3dbfc2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01567-xhttps://doaj.org/toc/2045-2322Abstract The processing quality of the block hole system affects the working performance of the marine diesel engine block directly. Choosing an appropriate combination of process parameters is a prerequisite to improving the accuracy of the block hole system. Uncertain fluctuations of process parameters during the machining process would affect the process reliability of the block hole system, resulting in an ultra-poor accuracy. For this reason, the RBF method is used to establish the relationship between the verticality of the cylinder hole and process parameters, including cutting speed, depth of cut, and feed rate. The minimum cylinder hole verticality is taken as the goal and the process reliability constraints of the cylinder hole are set based on Monte Carlo, a reliability optimization model of processing parameters for cylinder hole is established in this paper. Meanwhile, an improved particle swarm algorithm was designed to solve the model, and eventually, the global optimal combination of process parameters for the cylinder hole processing of the diesel engine block in the reliability stable region was obtained.Honggen ZhouWeibin YangLi SunXuwen JingGuochao LiLiping CaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Honggen Zhou Weibin Yang Li Sun Xuwen Jing Guochao Li Liping Cao Reliability optimization of process parameters for marine diesel engine block hole system machining using improved PSO
description	Abstract The processing quality of the block hole system affects the working performance of the marine diesel engine block directly. Choosing an appropriate combination of process parameters is a prerequisite to improving the accuracy of the block hole system. Uncertain fluctuations of process parameters during the machining process would affect the process reliability of the block hole system, resulting in an ultra-poor accuracy. For this reason, the RBF method is used to establish the relationship between the verticality of the cylinder hole and process parameters, including cutting speed, depth of cut, and feed rate. The minimum cylinder hole verticality is taken as the goal and the process reliability constraints of the cylinder hole are set based on Monte Carlo, a reliability optimization model of processing parameters for cylinder hole is established in this paper. Meanwhile, an improved particle swarm algorithm was designed to solve the model, and eventually, the global optimal combination of process parameters for the cylinder hole processing of the diesel engine block in the reliability stable region was obtained.
format	article
author	Honggen Zhou Weibin Yang Li Sun Xuwen Jing Guochao Li Liping Cao
author_facet	Honggen Zhou Weibin Yang Li Sun Xuwen Jing Guochao Li Liping Cao
author_sort	Honggen Zhou
title	Reliability optimization of process parameters for marine diesel engine block hole system machining using improved PSO
title_short	Reliability optimization of process parameters for marine diesel engine block hole system machining using improved PSO
title_full	Reliability optimization of process parameters for marine diesel engine block hole system machining using improved PSO
title_fullStr	Reliability optimization of process parameters for marine diesel engine block hole system machining using improved PSO
title_full_unstemmed	Reliability optimization of process parameters for marine diesel engine block hole system machining using improved PSO
title_sort	reliability optimization of process parameters for marine diesel engine block hole system machining using improved pso
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/416196e2ff0a4268ba757ef799c3dbfc
work_keys_str_mv	AT honggenzhou reliabilityoptimizationofprocessparametersformarinedieselengineblockholesystemmachiningusingimprovedpso AT weibinyang reliabilityoptimizationofprocessparametersformarinedieselengineblockholesystemmachiningusingimprovedpso AT lisun reliabilityoptimizationofprocessparametersformarinedieselengineblockholesystemmachiningusingimprovedpso AT xuwenjing reliabilityoptimizationofprocessparametersformarinedieselengineblockholesystemmachiningusingimprovedpso AT guochaoli reliabilityoptimizationofprocessparametersformarinedieselengineblockholesystemmachiningusingimprovedpso AT lipingcao reliabilityoptimizationofprocessparametersformarinedieselengineblockholesystemmachiningusingimprovedpso
_version_	1718429282681749504

Reliability optimization of process parameters for marine diesel engine block hole system machining using improved PSO

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