Issue |
Manufacturing Rev.
Volume 10, 2023
|
|
---|---|---|
Article Number | 1 | |
Number of page(s) | 20 | |
DOI | https://doi.org/10.1051/mfreview/2022034 | |
Published online | 10 January 2023 |
Review
Nanofluids, micro-lubrications and machining process optimisations − a review
1
Mechanical Engineering Department, Loknete Gopinathji Munde College of Engineering, Nasik 422006, India
2
Mechanical Engineering Department, Yeshwantrao Chavan College of Engineering, Nagpur 441110, India
3
Mechanical Engineering Department, Bharati Vidyapeeths College of Engineering, Kolhapur 416013, India
4
Mechanical Engineering Department, Late G. N. Sapkal College of Engineering, Nasik 422006, India
* e-mail: r_chakule@rediffmail.com
Received:
19
May
2022
Accepted:
19
November
2022
The lubrication is a prime requirement of metal cutting industries to assure high quality performance. The conventional technique of coolant flow is less economical and eco-friendly. Recently, nano fluids found better cutting fluid in machining due to potential thermal and heat transfer properties. The role of micro-lubrication techniques and process optimization are equally important for improving process performance. The literature review presents the findings of different researchers in the field of nano fluids and micro-lubrication techniques. The experimental studies were focused on better process performance using micro-lubrication techniques, especially nanofluid MQL with optimized process parameters. The thermal conductivity of water based TiO2 nano fluid shows improvement by 22% in base fluids. The case study discussed which is focused on preparation and characterization of nano fluid, experimental setup and optimization of process parameters by Jaya algorithm. Finally, application of nano fluid, and challenges during nano fluid preparation is identified. The scope of research work is recommended for further study to obtain an economical, eco-friendly manufacturing process.
Key words: Cutting fluid / machining / modeling / micro-lubrication / optimization
© R.R. Chakule et al., Published by EDP Sciences 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.