Tribological Properties and Machining Performance of Vegetable Oil Based Metal Working Fluids

ISSN Print: 2164-0165
ISSN Online: 2164-0181

Website: https://www.scirp.org/journal/mme
E-mail: mme@scirp.org

Citations h5-index & Ranking*

Submission

"Tribological Properties and Machining Performance of Vegetable Oil Based Metal Working Fluids—A Review"
written by Tamalapura Puttaswamy Jeevan, Saligrama Ramachandra Jayaram,
published by Modern Mechanical Engineering, Vol.8 No.1, 2018

has been cited by the following article(s):

[1]	Studies on Tribological and Metal Forming Performance of Vegetable Oil-Based Lubricants
	2020

[2]	Tribological investigation of frictional behaviour of mild steel under canola bio-lubricant conditions
	2020

[3]	Study of machinability performance of Hastelloy-X for nanofluids, dry with coated tools
	2020

[4]	Prediction of Surface Roughness and Coefficient of Friction Using Artificial Neural Network in Tribotesting of Bio-Lubricants
	2019

[5]	Performance Evaluation of Green Machining on Thin-Walled Ti6Al4V using Response Surface Methodology and Artificial Neural Networks
	2019

[6]	Effect of Maize-Starch Based Cutting Fluids and Machining Parameters on Temperature Generated in Turning of AISI 304 Stainless Steel
	INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY SCIENCES AND ENGINEERING, 2018

[7]	Experimental Investigation on the Performance of Vegetable Oil Based Cutting Fluids in Drilling AISI 304L Using Taguchi Technique
	Tribology Online, 2018

[1]	Optimization of cutting parameters with Taguchi and grey relational analysis methods in MQL-assisted face milling of AISI O2 steel Journal of Central South University, 2021 DOI:10.1007/s11771-021-4590-4

[2]	Advances in Materials and Manufacturing Engineering Lecture Notes in Mechanical Engineering, 2020 DOI:10.1007/978-981-15-1307-7_29

[3]	Study of machinability performance of Hastelloy-X for nanofluids, dry with coated tools Materials and Manufacturing Processes, 2020 DOI:10.1080/10426914.2020.1729990

[4]	Prediction of Surface Roughness and Coefficient of Friction Using Artificial Neural Network in Tribotesting of Bio-Lubricants Applied Mechanics and Materials, 2019 DOI:10.4028/www.scientific.net/AMM.895.52

[5]	Experimental Investigation on the Performance of Vegetable Oil Based Cutting Fluids in Drilling AISI 304L Using Taguchi Technique Tribology Online, 2018 DOI:10.2474/trol.13.50