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Selection of optimum parameter for compression testing based on design of experiments using Taguchi method

Author

Listed:
  • T. Nagaraj

    (SBM College of Engineering & Technology)

  • M. Rajkumar

    (RVS School of Engineering & Technology)

  • K. Muralidharan

    (PSNA College of Engineering & Technology)

Abstract

Optimizing parameters for effective operations are significant, for which several new technologies getting introduced in the production realm. This study considers one such problem to optimize the process parameter of compression testing based on design of experiments using well known, Taguchi method. With the precision of process parameters, the effectiveness can be observed in material’s high strength and ductility. This research work considers Al2024 alloy for to explore the process parameters under the different temperature constraints which includes room temperature, elevated temperature (400 οC) and cryogenic temperature (−190 οC). This study considers Al2024 due to its wide successful applications on engineering functions. The other parameters which play a significant roles in this study includes thickness, cross sectional area, compressive load and compressive strength. Finally, this study concludes with the optimization of effective process parameters of Al2024 with the concerned of varied temperature owing to increase in its mechanical properties.

Suggested Citation

  • T. Nagaraj & M. Rajkumar & K. Muralidharan, 2021. "Selection of optimum parameter for compression testing based on design of experiments using Taguchi method," Annals of Operations Research, Springer, vol. 304(1), pages 331-341, September.
    • Handle: RePEc:spr:annopr:v:304:y:2021:i:1:d:10.1007_s10479-021-04170-5
    DOI: 10.1007/s10479-021-04170-5
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    References listed on IDEAS

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    1. Ipsita Banerjee & Marianthi Ierapetritou, 2004. "Model Independent Parametric Decision Making," Annals of Operations Research, Springer, vol. 132(1), pages 135-155, November.
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