Multi-response Optimization of Burnishing of Friction-Welded AA6082-T6 Using Principal Component Analysis

  • R. S. TajaneEmail author
  • P. J. Pawar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)


Ball burnishing is employed as post-welding treatment for AA6082-T6 friction-welded part to enhance surface and surface properties. In this paper, the principal component analysis was employed as a tool of multi-response optimization, to investigate the effect of control parameters on multiple responses of burnishing process. Four controllable factors such as burnishing speed, burnishing feed, burnishing force, and number of passes at five levels each and three responses such as surface roughness, surface hardness, and tensile strength were studied. The optimum combination of control parameters and their levels for multiple responses based on the total principal component was determined. The analysis of variance was used to find out the most influential burnishing parameter for the multiple responses problems. The overall performance index of optimal level of parameters (0.9562) is calculated; it reveals that the principal component analysis can effectively acquire the optimal combination of burnishing parameters.


Friction welding Ball burnishing Multi-response optimization Principal component analysis Analysis of variance 


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Production EngineeringK. K. Wagh Institute of Engineering Education and ResearchNasikIndia
  2. 2.Savitribai Phule Pune UniversityPuneIndia

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