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Statistical Modeling and Optimization of Al-MMCs Reinforced with Coconut Shell Ash Particulates

  • K. Vikash Kumar
  • R. Sivasankara Raju
Conference paper
  • 57 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

This study has been described on the optimization of tribological characteristics of Al-coconut shell ash (CSA)-reinforced composite prepared with stir-casting route. In this study, three operating variables (i.e., load, sliding speed, and % of CSA) and three responses (i.e., wear (µm), wear rate (mm3/m), and coefficient of friction) are considered. The experiments are designed using L27 orthogonal array (full factorial design). The influence of each parameter on the response is established using response tables and response graphs. Based on experimental data, the model equations for each response were developed with multiple linear regressions. The models give the factor effects of individual parameters. Interaction effects provide additional information to understand the detailed behavior of parameters. It revealed that load is the most influencing effect on wear behavioral responses. An optimum parameter combination was obtained by using a genetic algorithm.

Keywords

MMC Design of experiments Genetic algorithm Regression 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • K. Vikash Kumar
    • 1
  • R. Sivasankara Raju
    • 2
  1. 1.Department of Mechanical EngineeringGIET UniversityGunupurIndia
  2. 2.Department of Mechanical EngineeringAditya Institute of Technology and ManagementTekkaliIndia

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