Optimization of Machining Parameters using ANOVA and Grey Relational Analysis while Turning Aluminium 7075
Mulugundam Siva Surya1, K. S. Vepa2, Malleswari Karanam3 

1Mulugundam Siva Surya, Department of Mechanical Engineering, GITAM (Deemed to be University), Hyderabad, India.
2K. S Vepa, Department of Mechanical Engineering, GITAM (Deemed to be University), Hyderabad, India.
3Malleswari Karanam, Department of Mechanical Engineering, GITAM (Deemed to be University), Hyderabad, India.

Manuscript received on 12 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 5682-5686 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3038078219/19©BEIESP | DOI: 10.35940/ijrte.B3038.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this research a detailed study is carried out on machining parameters for turning operation on aluminium 7075 with high-speed steel. This grade of aluminium is known for its applications in aerospace industry and research about its machining parameters will lead to more developments in the field of production. Aim of this work is to optimize turning operation. Machining parameters viz. speed, feed and depth of cut are taken as input parameters. Material removal rate (MRR), tool wear (TWR), surface roughness (SR) are taken as output parameters and the set of optimized parameters means reduction in total production cost. The experiments are planned using Taguchi’s L9 orthogonal array. Grey relational analysis (GRA) is used for multi objective optimization using grey relational grades. Application of analysis of variance (ANOVA) helps in the identification of most prominent parameters among speed, feed and depth of cut.
Index Terms: Aluminium 7075, Grey Relational Analysis, MRR, TWR, SR.
Scope of the Article: Discrete Optimization