Journal of Engineering, Project, and Production Management, 2024, 14(1), 0003
Investigations of Surface Roughness and Temperatures in Vegetable Oil-based n-MQL Turning of AISI 4340 Steel
1Research Scholar, Department of
Mechanical Engineering, Fr. CRCE, Bandra (W), Mumbai 400 050, India
E-mail: miriyala.v@fragnel.edu.in (corresponding author).
2Professor and Head, Department of Mechanical Engineering,
Dean (R&D), Fr. CRCE, Bandra (W), India
E-mail: bhushan.patil@fragnel.edu.in
3Assistant Professor, Department of Mechanical Engineering,
Fr. CRCE, Bandra (W), Mumbai 400050, India
E-mail: vasim.shaikh@fragnel.edu.in
4Professor and Head (IRG), Department of Mechanical
Engineering, Fr. CRCE, Bandra (W), Mumbai 400050, India
E-mail: sudhakar@fragnel.edu.in
5Associate Professor, Department of Computer Engineering, Fr.
CRCE, Bandra (W), Mumbai 400050, India
E-mail: sujata.deshmukh@fragnel.edu.in
Selected paper from 2022 International
Conference on Embracing Industry 4.0 Technologies for Sustainable Growth
Engineering Management
Received June 28, 2022; revised November 26, 2022; accepted February 28, 2023
Available online May 29, 2023
Abstract: Machining of hard materials has been difficult and expensive because of poor surface smoothness, early tool failures, etc. When used in machining hard materials, such as medium and high carbon, cast steels, Inconel, and other alloys, nanomaterials combined with base fluids, such as water and oils, provide superior results in terms of surface finish and low cutting temperatures. To enhance our understanding of the field of machining and its applications, a comprehensive literature assessment on machining steels using nanofluids with/without the minimum quantity lubrication (MQL) approach was conducted. This research aims to investigate the performance of nanofluids (n-Al2O3, n-MoS2, and n-graphene) mixed with coconut oil in various proportions and injected into the tool–work interface using the MQL mist system. Output responses, such as surface roughness values, and cutting temperatures, were measured. The cutting temperatures were determined using an infrared camera and a k-type thermocouple, and the surface roughness was determined using a Talysurf surface meter. Cutting parameters, such as cutting speed, feed rate, and depth of cut, were maintained constant throughout the experiments. The experiments comprised a single factor (MQL fluid) with eight levels. Multiresponse optimization using grey relational coefficients showed that n-Al2O3 and n-MoS2 hybrid combinations with coconut oil yielded better results, i.e., higher ranks, compared with n-graphene mixtures in coconut oils. The experimental findings demonstrated that nanofluids outperformed pure coconut oil. Nano-Al2O3 combined with coconut oil produced a superior surface finish, lowered the cutting temperatures, and ensured minimum chip thickness.
Keywords: Turning, nanomaterial, MQL, hybridization.
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Citation: Miriyala, V., Patil, B. T., Shaikh, V. A., Sudhakar, D. S. S., and Deshmukh, S. (2024). Investigations of Surface Roughness and Temperatures in Vegetable Oil-based n-MQL Turning of AISI 4340 Steel. Journal of Engineering, Project, and Production Management, 14(1), 0003.
DOI:
10.32738/JEPPM-2024-0003
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