Parametric optimization of bearing steel turning process using MCDM hybrid technique
Author(s):
Jay C. Gajbhiye, Anup A. Junankar, Akanksha K. Bachale, Shraddha K. Wasnik, Yashwant Hajare, Nehal Kachotiya
Keywords:
Minimum quantity lubrication,Multi criteria decision making,Nanofluid, Turning.
Abstract
The sustainable metal cutting process mainly focuses on the appropriate utilization of cutting tool and coolant. For the sustainable process, minimum quantity lubrication system externally attached with CNC (computer numerical control) machines to direct the cutting fluid at metal cutting interface. In the view of biodegradability, Nanofluids is prepared by adding nanoparticles to vegetable oil and supplied at machining zone via minimum quantity lubrication system. The key objective of the current investigation is to study the effect of dry, flood, vegetable oil and Cu (copper) and Zn (zinc) Nanofluids cooling condition during bearing steel turning process. The multi objective parametric optimization is performed using multi criteria decision making hybrid technique. For the experimental investigation, surface roughness and machining temperature selected as response parameters. Investigation concluded that Cu and Zn Nanofluids cooling conditions noticed as the significant as compared to dry, flood and vegetable oil. For Cu Nanofluids minimum quantity lubrication cooling condition, surface roughness and machining temperature decreased effectively.
Article Details
Unique Paper ID: 155941

Publication Volume & Issue: Volume 9, Issue 2

Page(s): 333 - 340
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