Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil

This study aims to build a regression model when surveying the milling process on S50C steel using Minimum Quantity Lubrication (MQL) of Vietnamese peanut oil-based on Response Surface Methodology. The paper analyses and evaluates the effect of cutting parameters, flow rates, and pressures in minimu...

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Autores principales:	Nguyen Thanh Cong, Pham Thi Thieu Thoa, Dung Hoang Tien
Formato:	article
Lenguaje:	EN
Publicado:	Scientific Route OÜ 2021
Materias:	milling parameters mql peanut oil surface roughness cutting force s50c steel multi-response optimization Mechanical engineering and machinery TJ1-1570 Physics QC1-999
Acceso en línea:	https://doaj.org/article/33a2a5d3500a49b49c1f62a672d7643a
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spelling	oai:doaj.org-article:33a2a5d3500a49b49c1f62a672d7643a2021-11-19T13:32:08ZResearch of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil2461-42542461-426210.21303/2461-4262.2021.001774https://doaj.org/article/33a2a5d3500a49b49c1f62a672d7643a2021-11-01T00:00:00Zhttp://journal.eu-jr.eu/engineering/article/view/1774https://doaj.org/toc/2461-4254https://doaj.org/toc/2461-4262This study aims to build a regression model when surveying the milling process on S50C steel using Minimum Quantity Lubrication (MQL) of Vietnamese peanut oil-based on Response Surface Methodology. The paper analyses and evaluates the effect of cutting parameters, flow rates, and pressures in minimum quantity lubrication system on cutting force and surface roughness in the milling process of S50C carbon steel materials after heat treatment (reaching a hardness of 52 HRC). The Taguchi method, one of the most effective experimental planning methods nowadays, is used in this study. The statistical analysis software, namely Minitab 19, is utilized to build a regression model between parameters of the cutting process, flow rates and pressures of the minimum quantity lubrication system and the cutting force, surface roughness of the part when machining on a 5-axis CNC milling machine. Thereby analyzing and predicting the effect of cutting parameters and minimum quantity lubrication conditions on the surface roughness and cutting force during machining to determine the influence level them. In this work, the regression models of Ra and F were achieved by using the optimizer tool in Minitab 19. Moreover, the multi-response optimization problem was solved. The optimum cutting parameters and lubricating conditions are as follows: Cutting velocity Vc=190.909 m/min, feed rate fz=0.02 mm/tooth, axial depth of cut ap=0.1 and nozzle pressure P=5.596 MPa, flow rate Q=108.887 ml/h. The output parameters obtained from the above parameters are Ra=0.0586 and F=162.035 N, respectively. This result not only provides the foundation for future research but also contributes reference data for the machining processNguyen Thanh CongPham Thi Thieu ThoaDung Hoang TienScientific Route OÜarticlemilling parametersmqlpeanut oilsurface roughnesscutting forces50c steelmulti-response optimizationMechanical engineering and machineryTJ1-1570PhysicsQC1-999ENEUREKA: Physics and Engineering, Iss 6, Pp 74-88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	milling parameters mql peanut oil surface roughness cutting force s50c steel multi-response optimization Mechanical engineering and machinery TJ1-1570 Physics QC1-999
spellingShingle	milling parameters mql peanut oil surface roughness cutting force s50c steel multi-response optimization Mechanical engineering and machinery TJ1-1570 Physics QC1-999 Nguyen Thanh Cong Pham Thi Thieu Thoa Dung Hoang Tien Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil
description	This study aims to build a regression model when surveying the milling process on S50C steel using Minimum Quantity Lubrication (MQL) of Vietnamese peanut oil-based on Response Surface Methodology. The paper analyses and evaluates the effect of cutting parameters, flow rates, and pressures in minimum quantity lubrication system on cutting force and surface roughness in the milling process of S50C carbon steel materials after heat treatment (reaching a hardness of 52 HRC). The Taguchi method, one of the most effective experimental planning methods nowadays, is used in this study. The statistical analysis software, namely Minitab 19, is utilized to build a regression model between parameters of the cutting process, flow rates and pressures of the minimum quantity lubrication system and the cutting force, surface roughness of the part when machining on a 5-axis CNC milling machine. Thereby analyzing and predicting the effect of cutting parameters and minimum quantity lubrication conditions on the surface roughness and cutting force during machining to determine the influence level them. In this work, the regression models of Ra and F were achieved by using the optimizer tool in Minitab 19. Moreover, the multi-response optimization problem was solved. The optimum cutting parameters and lubricating conditions are as follows: Cutting velocity Vc=190.909 m/min, feed rate fz=0.02 mm/tooth, axial depth of cut ap=0.1 and nozzle pressure P=5.596 MPa, flow rate Q=108.887 ml/h. The output parameters obtained from the above parameters are Ra=0.0586 and F=162.035 N, respectively. This result not only provides the foundation for future research but also contributes reference data for the machining process
format	article
author	Nguyen Thanh Cong Pham Thi Thieu Thoa Dung Hoang Tien
author_facet	Nguyen Thanh Cong Pham Thi Thieu Thoa Dung Hoang Tien
author_sort	Nguyen Thanh Cong
title	Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil
title_short	Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil
title_full	Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil
title_fullStr	Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil
title_full_unstemmed	Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil
title_sort	research of multi-response optimization of milling process of hardened s50c steel using minimum quantity lubrication of vietnamese peanut oil
publisher	Scientific Route OÜ
publishDate	2021
url	https://doaj.org/article/33a2a5d3500a49b49c1f62a672d7643a
work_keys_str_mv	AT nguyenthanhcong researchofmultiresponseoptimizationofmillingprocessofhardeneds50csteelusingminimumquantitylubricationofvietnamesepeanutoil AT phamthithieuthoa researchofmultiresponseoptimizationofmillingprocessofhardeneds50csteelusingminimumquantitylubricationofvietnamesepeanutoil AT dunghoangtien researchofmultiresponseoptimizationofmillingprocessofhardeneds50csteelusingminimumquantitylubricationofvietnamesepeanutoil
_version_	1718420063320539136

Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil

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