Formulation and Comparison of Experimental based Mathematical Model with Artificial Neural Network Simulation on Surface Roughness with Burnished Spherical Surface Tool on Aluminum Alloy6351

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Published: Nov 2, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i10.8493
Keywords:
Burnishing, Surface Roughness, dimensional analysis, Buckingham’s π theorem, regression analysis, Mini-max principle, Sensitivity Analysis

Main Article Content

Dnyaneshwar M. Mate, Raju.N. Panchal, Sham H. Mankar, Ramesh K. Rathod, Vithoba T. Tale

Abstract

This paper deals with the effect of burnishing process on the Aluminum Alloy material 6351(HE 15) using Lathe. Surface roughness generated after the turning operation was used to ball burnishing. The surface roughness pattern which was further used to simulate ball burnishing process using ANN. Improvement in the surface roughness values achieved for tool steel after ball burnishing process was 98.2429%.

Article Details

How to Cite
Dnyaneshwar M. Mate, et al. (2023). Formulation and Comparison of Experimental based Mathematical Model with Artificial Neural Network Simulation on Surface Roughness with Burnished Spherical Surface Tool on Aluminum Alloy6351. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 300–306. https://doi.org/10.17762/ijritcc.v11i10.8493
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Vol. 11 No. 10 (2023): (Articles in Press)
Section
Articles
Author Biography

Dnyaneshwar M. Mate, Raju.N. Panchal, Sham H. Mankar, Ramesh K. Rathod, Vithoba T. Tale

1*Dnyaneshwar M. Mate, 2Raju.N. Panchal, 3Sham H. Mankar, 4Ramesh K. Rathod  5Vithoba T. Tale

1,2,5 JSPMs Rajarshri Shahu College of Engineering, Pune-410033 , Maharashtra, India

3,4 Pimpri Chinchwad College of Engineering and Research, Pune -412101, Maharashtra, India

1dmmatepatil@gmail.com, 2rnpanchal202@gmail.com, 3drshmpccoer@gmail.com, 4rathodrk72@gmail.com, 5tvithoba@gmail.com

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