Performance assessment of some selected vegetable oils as lubricants in turning of AISI 1045 steel using a Taguchi-based grey relational analysis approach

Author:

Abegunde P. O.1,Kazeem R. A.12,Akande I. G.3,Ikumapayi O. M.45,Adebayo A. S.1,Jen T.-C.2,Akinlabi S. A.6,Akinlabi E. T.6

Affiliation:

1. Department of Mechanical Engineering, University of Ibadan, Ibadan, Nigeria

2. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa

3. Department of Automotive Engineering, University of Ibadan, Ibadan, Nigeria

4. Department of Mechanical and Mechatronics Engineering, Afe Babalola University, Ado Ekiti, Nigeria

5. Department of Mechanical and Industrial Engineering Technology, University of Johannesburg, Johannesburg, South Africa

6. Department of Mechanical and Construction Engineering, Faculty of Engineering and Environment, Northumbria University, Newcastle, UK

Publisher

Informa UK Limited

Subject

Mechanical Engineering,General Materials Science

Reference54 articles.

1. Wire EDM process optimization for machining AISI 1045 steel by use of Taguchi method, artificial neural network and analysis of variances

2. Experimental investigations and optimization of surface roughness in turning of en 36 alloy steel using response surface methodology and genetic algorithm

3. Kumar V. Mathematical modeling of surface roughness and forces for turning of En-353 [doctoral dissertation]; 2018.

4. Yang, M. Wear of bainite-transformed AISI 1045 steel in comparison with nitriding and boriding treatments [doctoral dissertation]. University of Windsor (Canada); 2020.

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