Multi-objective optimization on the machining parameters for bio-inspired nanocoolant

The emphasis of this paper is to evaluate the thermophysical properties of crystalline nanocellulose (CNC)-based nanofluid and the optimized machining parameters (cutting speed, feed rate and depth of cut) for machining using CNC-based nanofluid. Cutting tool temperature and formed chip temperature...

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Main Authors:	Keeran, Anamalai, Lingenthiran, Samylingam, K., Kadirgama, Samykano, Mahendran, G., Najafi, D., Ramasamy, M. M., Rahman
Format:	Article
Language:	English
Published:	Springer 2019
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/22471/ http://umpir.ump.edu.my/id/eprint/22471/ http://umpir.ump.edu.my/id/eprint/22471/ http://umpir.ump.edu.my/id/eprint/22471/7/Multi-objective%20optimization%20on%20the%20machining1.pdf

id	ump-22471
recordtype	eprints
spelling	ump-224712019-02-25T01:58:25Z http://umpir.ump.edu.my/id/eprint/22471/ Multi-objective optimization on the machining parameters for bio-inspired nanocoolant Keeran, Anamalai Lingenthiran, Samylingam K., Kadirgama Samykano, Mahendran G., Najafi D., Ramasamy M. M., Rahman TS Manufactures The emphasis of this paper is to evaluate the thermophysical properties of crystalline nanocellulose (CNC)-based nanofluid and the optimized machining parameters (cutting speed, feed rate and depth of cut) for machining using CNC-based nanofluid. Cutting tool temperature and formed chip temperature during machining are determined with CNC-based coolant and metal working fluid. Minimum quantity lubrication technique is used to minimize the usage of the coolant. Nanocellulose coolant with a concentration of 0.5% shows better thermal conductivity and viscosity. Total heat produced at the cutting tool and the temperature generated at the chip during machining shows significant improvement using CNCbased nanofluid. Statistical analysis reveals that feed rate and depth of cut contribute around 27.48% and 22.66% toward cutting temperature. Meanwhile, none of the parameters significantly affects the heat transfer. The multi-objective optimization reveals that the optimum parameter for machining using CNC-based nanocoolant is: cutting speed = 120, feed rate = 0.05 and depth of cut = 1.78 which produces heat transfer of 379.44 J and cutting temperature of 104.41 C. Springer 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22471/7/Multi-objective%20optimization%20on%20the%20machining1.pdf Keeran, Anamalai and Lingenthiran, Samylingam and K., Kadirgama and Samykano, Mahendran and G., Najafi and D., Ramasamy and M. M., Rahman (2019) Multi-objective optimization on the machining parameters for bio-inspired nanocoolant. Journal of Thermal Analysis and Calorimetry, 135 (2). pp. 1533-1544. ISSN 1388-6150 (print); 1588-2926 (online) https://doi.org/10.1007/s10973-018-7693-x https://doi.org/10.1007/s10973-018-7693-x
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Keeran, Anamalai Lingenthiran, Samylingam K., Kadirgama Samykano, Mahendran G., Najafi D., Ramasamy M. M., Rahman Multi-objective optimization on the machining parameters for bio-inspired nanocoolant
description	The emphasis of this paper is to evaluate the thermophysical properties of crystalline nanocellulose (CNC)-based nanofluid and the optimized machining parameters (cutting speed, feed rate and depth of cut) for machining using CNC-based nanofluid. Cutting tool temperature and formed chip temperature during machining are determined with CNC-based coolant and metal working fluid. Minimum quantity lubrication technique is used to minimize the usage of the coolant. Nanocellulose coolant with a concentration of 0.5% shows better thermal conductivity and viscosity. Total heat produced at the cutting tool and the temperature generated at the chip during machining shows significant improvement using CNCbased nanofluid. Statistical analysis reveals that feed rate and depth of cut contribute around 27.48% and 22.66% toward cutting temperature. Meanwhile, none of the parameters significantly affects the heat transfer. The multi-objective optimization reveals that the optimum parameter for machining using CNC-based nanocoolant is: cutting speed = 120, feed rate = 0.05 and depth of cut = 1.78 which produces heat transfer of 379.44 J and cutting temperature of 104.41 C.
format	Article
author	Keeran, Anamalai Lingenthiran, Samylingam K., Kadirgama Samykano, Mahendran G., Najafi D., Ramasamy M. M., Rahman
author_facet	Keeran, Anamalai Lingenthiran, Samylingam K., Kadirgama Samykano, Mahendran G., Najafi D., Ramasamy M. M., Rahman
author_sort	Keeran, Anamalai
title	Multi-objective optimization on the machining parameters for bio-inspired nanocoolant
title_short	Multi-objective optimization on the machining parameters for bio-inspired nanocoolant
title_full	Multi-objective optimization on the machining parameters for bio-inspired nanocoolant
title_fullStr	Multi-objective optimization on the machining parameters for bio-inspired nanocoolant
title_full_unstemmed	Multi-objective optimization on the machining parameters for bio-inspired nanocoolant
title_sort	multi-objective optimization on the machining parameters for bio-inspired nanocoolant
publisher	Springer
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/22471/ http://umpir.ump.edu.my/id/eprint/22471/ http://umpir.ump.edu.my/id/eprint/22471/ http://umpir.ump.edu.my/id/eprint/22471/7/Multi-objective%20optimization%20on%20the%20machining1.pdf
first_indexed	2023-09-18T22:33:28Z
last_indexed	2023-09-18T22:33:28Z
_version_	1777416439878123520

Multi-objective optimization on the machining parameters for bio-inspired nanocoolant

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