Parametric optimization of cutting parameters for micro-machining of titanium Grade-12 alloy using statistical techniques

The main aim of this research work is to examine the impact of machining parameters on the tool wear, machining forces and surface quality in micro-machining of light weight titanium Gr-12 alloy using statistical technique. The Taguchi method has been efficiently used here to associate input variabl...

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Autores principales:	M.S. Kishore Kumar, B. Gurudatt, H.N. Reddappa, R. Suresh
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2022
Materias:	Titanium Gr-12 alloy Micro-milling Taguchi technique Machining force Tool wear Surface roughness Technology T
Acceso en línea:	https://doaj.org/article/cd87ac9e49ef408eb0e1595a06136cd3
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spelling	oai:doaj.org-article:cd87ac9e49ef408eb0e1595a06136cd32021-11-20T05:08:13ZParametric optimization of cutting parameters for micro-machining of titanium Grade-12 alloy using statistical techniques2588-840410.1016/j.ijlmm.2021.10.003https://doaj.org/article/cd87ac9e49ef408eb0e1595a06136cd32022-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2588840421000494https://doaj.org/toc/2588-8404The main aim of this research work is to examine the impact of machining parameters on the tool wear, machining forces and surface quality in micro-machining of light weight titanium Gr-12 alloy using statistical technique. The Taguchi method has been efficiently used here to associate input variables and output response relationship and also to evaluate the parametric effects by ANOVA analysis. The test results using a linear regression model were correlated. The output results indicated that the depth of cut and speed of cutting have substantial effects on machining force, surface quality and tool wear. The obtained results have been confirmed through confirmation tests with less than 6% error value. It proves that the projected statistical approach is reliable, and is an optimization and typical model for prediction of micro milling parameters for titanium Gr-12 alloy.M.S. Kishore KumarB. GurudattH.N. ReddappaR. SureshKeAi Communications Co., Ltd.articleTitanium Gr-12 alloyMicro-millingTaguchi techniqueMachining forceTool wearSurface roughnessTechnologyTENInternational Journal of Lightweight Materials and Manufacture, Vol 5, Iss 1, Pp 74-83 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Titanium Gr-12 alloy Micro-milling Taguchi technique Machining force Tool wear Surface roughness Technology T
spellingShingle	Titanium Gr-12 alloy Micro-milling Taguchi technique Machining force Tool wear Surface roughness Technology T M.S. Kishore Kumar B. Gurudatt H.N. Reddappa R. Suresh Parametric optimization of cutting parameters for micro-machining of titanium Grade-12 alloy using statistical techniques
description	The main aim of this research work is to examine the impact of machining parameters on the tool wear, machining forces and surface quality in micro-machining of light weight titanium Gr-12 alloy using statistical technique. The Taguchi method has been efficiently used here to associate input variables and output response relationship and also to evaluate the parametric effects by ANOVA analysis. The test results using a linear regression model were correlated. The output results indicated that the depth of cut and speed of cutting have substantial effects on machining force, surface quality and tool wear. The obtained results have been confirmed through confirmation tests with less than 6% error value. It proves that the projected statistical approach is reliable, and is an optimization and typical model for prediction of micro milling parameters for titanium Gr-12 alloy.
format	article
author	M.S. Kishore Kumar B. Gurudatt H.N. Reddappa R. Suresh
author_facet	M.S. Kishore Kumar B. Gurudatt H.N. Reddappa R. Suresh
author_sort	M.S. Kishore Kumar
title	Parametric optimization of cutting parameters for micro-machining of titanium Grade-12 alloy using statistical techniques
title_short	Parametric optimization of cutting parameters for micro-machining of titanium Grade-12 alloy using statistical techniques
title_full	Parametric optimization of cutting parameters for micro-machining of titanium Grade-12 alloy using statistical techniques
title_fullStr	Parametric optimization of cutting parameters for micro-machining of titanium Grade-12 alloy using statistical techniques
title_full_unstemmed	Parametric optimization of cutting parameters for micro-machining of titanium Grade-12 alloy using statistical techniques
title_sort	parametric optimization of cutting parameters for micro-machining of titanium grade-12 alloy using statistical techniques
publisher	KeAi Communications Co., Ltd.
publishDate	2022
url	https://doaj.org/article/cd87ac9e49ef408eb0e1595a06136cd3
work_keys_str_mv	AT mskishorekumar parametricoptimizationofcuttingparametersformicromachiningoftitaniumgrade12alloyusingstatisticaltechniques AT bgurudatt parametricoptimizationofcuttingparametersformicromachiningoftitaniumgrade12alloyusingstatisticaltechniques AT hnreddappa parametricoptimizationofcuttingparametersformicromachiningoftitaniumgrade12alloyusingstatisticaltechniques AT rsuresh parametricoptimizationofcuttingparametersformicromachiningoftitaniumgrade12alloyusingstatisticaltechniques
_version_	1718419569294442496

Parametric optimization of cutting parameters for micro-machining of titanium Grade-12 alloy using statistical techniques

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