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

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


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.


MMC Design of experiments Genetic algorithm Regression 


  1. 1.
    Hatch JE (1984) Aluminum properties and physical metallurgy. In: ASM (ed) ASM International., OH, USA, pp 1–24.
  2. 2.
    Kato K (2000) Wear in relation to friction—a review. Wear 241:151–157.
  3. 3.
    Kök M, Özdin K (2007) Wear resistance of aluminum alloy and its composites reinforced by Al2O3 particles. J Mater Process Technol 183(2–3):301–309.
  4. 4.
    Rallabandi SR, Gunji SR (2019) Assessment of tribological performance of Al-coconut shell ash particulate—MMCs using grey-fuzzy approach. J Inst Eng Ser C 100, 1:13–22.
  5. 5.
    Raju RSS, Rao GS (2017) Assessment of tribological performance of coconut shell ash particle reinforced Al-Si-Fe composites using grey-fuzzy approach. Tribol Ind 39(3):364–377.
  6. 6.
    Raju SS et al (2017) Estimation of tribological performance of Al-MMC reinforced with a novel in-situ ternary mixture using grey relational analysis. Indian J Sci Technol 10(15):1–9.
  7. 7.
    Raju SS, Rao GS (2017) Assessments of desirability wear behaviour on Al-coconut shell ash—metal matrix composite using grey—fuzzy reasoning grade. Indian J Sci Technol 10(15):1–11.
  8. 8.
    Rodopoulos CA, Wessel JK (2004) Metal matrix composites. In: Wessel JK (ed) Handbook of advanced materials: enabling new designs. Wiley Online Library, pp 99–117.
  9. 9.
    Rohatgi PK (1993) Metal-matrix composites. Def Sci J 43(4):323–349.
  10. 10.
    Rohatgi PK, Schultz B (2007) Lightweight metal matrix nanocomposites—stretching the boundaries of metals. Mater Matters 2(4):1–6Google Scholar
  11. 11.
    Sahin Y (2010) Abrasive wear behavior of SiC/2014 aluminum composite. Tribol Int 43:939–943.
  12. 12.
    Sankara Raju RS et al (2018) Optimization of tribological behavior on Al-coconut shell ash composite at elevated temperature. IOP Conf Ser Mater Sci Eng 314:012009.
  13. 13.
    Raju SS et al (2019) Wear behavioral assessment of Al-CSAp-MMCs using grey-fuzzy approach Measurement. 140: 254–268.
  14. 14.
    Raju SS et al (2017) Investigation of tribological behavior of a novel hybrid composite prepared with al-coconut shell ash mixed with graphite. Metall Mater Trans A 48(8):3892–3903.
  15. 15.
    Venkata Siva SB et al (2013) Machinability of aluminum metal matrix composite reinforced with in-situ ceramic composite developed from mines waste colliery shale. Mater Manuf Process 28(10):1082–1089.
  16. 16.
    Venkata Siva SB et al (2013) Preparation of aluminum metal matrix composite with novel in situ ceramic composite particulates, developed from waste colliery shale material. Metall Mater Trans B 44(4):800–808.
  17. 17.
    Venkata Siva SB et al (2015) Quantitative studies on wear behavior of Al-(Al2O3-SiC-C) composite prepared with in situ ceramic composite developed from colliery waste. J Eng Tribol 229(7):823–834.

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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