The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel

Minimum quantity lubrication (MQL) is a sustainable method that has been efficiently applied to achieve machinability improvements with various materials in recent years, such as hardened steels, superalloys, soft metals, and composites. This study is the first to focus on the performance evaluation...

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Autores principales:	Emin Salur, Mustafa Kuntoğlu, Abdullah Aslan, Danil Yurievich Pimenov
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	end milling minimum quantity lubrication (MQL) dry environment tool wear temperature power consumption Mining engineering. Metallurgy TN1-997
Acceso en línea:	https://doaj.org/article/f152fc47cb8a4bf18157673a8ced96af
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spelling	oai:doaj.org-article:f152fc47cb8a4bf18157673a8ced96af2021-11-25T18:21:07ZThe Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel10.3390/met111116742075-4701https://doaj.org/article/f152fc47cb8a4bf18157673a8ced96af2021-10-01T00:00:00Zhttps://www.mdpi.com/2075-4701/11/11/1674https://doaj.org/toc/2075-4701Minimum quantity lubrication (MQL) is a sustainable method that has been efficiently applied to achieve machinability improvements with various materials in recent years, such as hardened steels, superalloys, soft metals, and composites. This study is the first to focus on the performance evaluation of MQL and dry milling environments with AISI 1040 steel. The tool wear, cutting temperature, and power consumption were considered as the quality responses while cutting speed, feed rate and machining environment are taken as input parameters. The effects of the influential factors are analyzed using analysis of variance (ANOVA) and bar charts. Additionally, Taguchi signal-to-noise (S/N) ratios are utilized in order to determine the optimum parameters for the best quality responses. The results show that the MQL system provides better performance compared to dry milling by reducing the tool wear, cutting temperature, and power consumption. According to the ANOVA results, the cutting environment affects the cutting temperature (37%) and power consumption (94%), while cutting speed has importance effects on the tool wear (74%). A lower cutting speed (100 m/min) and feed rate (0.10 mm/rev) should be selected under MQL conditions to ensure minimum tool wear and power consumption; however, a higher feed rate (0.15 mm/rev) needs to be selected along with a low cutting speed and MQL conditions to ensure better temperatures. A comparative evaluation is carried out on the tool wear, cutting temperature, and power consumption under MQL and dry environments. This investigation is expected to contribute to the current literature, highlighting the superiority of sustainable methods in the milling of industrially important materials.Emin SalurMustafa KuntoğluAbdullah AslanDanil Yurievich PimenovMDPI AGarticleend millingminimum quantity lubrication (MQL)dry environmenttool weartemperaturepower consumptionMining engineering. MetallurgyTN1-997ENMetals, Vol 11, Iss 1674, p 1674 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	end milling minimum quantity lubrication (MQL) dry environment tool wear temperature power consumption Mining engineering. Metallurgy TN1-997
spellingShingle	end milling minimum quantity lubrication (MQL) dry environment tool wear temperature power consumption Mining engineering. Metallurgy TN1-997 Emin Salur Mustafa Kuntoğlu Abdullah Aslan Danil Yurievich Pimenov The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel
description	Minimum quantity lubrication (MQL) is a sustainable method that has been efficiently applied to achieve machinability improvements with various materials in recent years, such as hardened steels, superalloys, soft metals, and composites. This study is the first to focus on the performance evaluation of MQL and dry milling environments with AISI 1040 steel. The tool wear, cutting temperature, and power consumption were considered as the quality responses while cutting speed, feed rate and machining environment are taken as input parameters. The effects of the influential factors are analyzed using analysis of variance (ANOVA) and bar charts. Additionally, Taguchi signal-to-noise (S/N) ratios are utilized in order to determine the optimum parameters for the best quality responses. The results show that the MQL system provides better performance compared to dry milling by reducing the tool wear, cutting temperature, and power consumption. According to the ANOVA results, the cutting environment affects the cutting temperature (37%) and power consumption (94%), while cutting speed has importance effects on the tool wear (74%). A lower cutting speed (100 m/min) and feed rate (0.10 mm/rev) should be selected under MQL conditions to ensure minimum tool wear and power consumption; however, a higher feed rate (0.15 mm/rev) needs to be selected along with a low cutting speed and MQL conditions to ensure better temperatures. A comparative evaluation is carried out on the tool wear, cutting temperature, and power consumption under MQL and dry environments. This investigation is expected to contribute to the current literature, highlighting the superiority of sustainable methods in the milling of industrially important materials.
format	article
author	Emin Salur Mustafa Kuntoğlu Abdullah Aslan Danil Yurievich Pimenov
author_facet	Emin Salur Mustafa Kuntoğlu Abdullah Aslan Danil Yurievich Pimenov
author_sort	Emin Salur
title	The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel
title_short	The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel
title_full	The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel
title_fullStr	The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel
title_full_unstemmed	The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel
title_sort	effects of mql and dry environments on tool wear, cutting temperature, and power consumption during end milling of aisi 1040 steel
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f152fc47cb8a4bf18157673a8ced96af
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The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel

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