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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/22471/7/Multi-objective%20optimization%20on%20the%20machining1.pdf
http://umpir.ump.edu.my/id/eprint/22471/
https://doi.org/10.1007/s10973-018-7693-x
https://doi.org/10.1007/s10973-018-7693-x
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spelling my.ump.umpir.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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/22471/7/Multi-objective%20optimization%20on%20the%20machining1.pdf
http://umpir.ump.edu.my/id/eprint/22471/
https://doi.org/10.1007/s10973-018-7693-x
https://doi.org/10.1007/s10973-018-7693-x
_version_ 1643669389145276416
score 13.211869

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