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Optimisation of tensile and compressive behaviour of PLA 3D printed parts using categorical response surface methodology

Author

Listed:
  • Muhammad Waseem
  • Tufail Habib
  • Usman Ghani
  • Muhammad Abas
  • Qazi Muhammad Usman Jan
  • Muhammad Alam Zaib Khan

Abstract

The present study aims to optimise process parameters of 3-D printed polylactic acid (PLA) part using response surface methodology (RSM). The input printing process parameters considered are layer height (L), infill percentage (I), raster width (R) and infill patterns (P) (i.e., linear, hexagonal and diamond), while the responses are tensile and compressive strengths. Box Behnken array design is applied for experimental runs and also to fit quadratic regression models. The results revealed that significant parameters affecting compression strength performance are I, I2, R, and interaction of I and R, for tensile strength, are L, I, I2, R, P, and interaction of P with L and I. The simultaneously optimised parameters obtained based on composite desirability function for compression and tensile strength are L = 0.1 mm, I = 100%, R = 0.4 mm, and P = hexagonal, while the obtained maximum compression and tensile strength are 9.06 kN and 1.67 kN.

Suggested Citation

  • Muhammad Waseem & Tufail Habib & Usman Ghani & Muhammad Abas & Qazi Muhammad Usman Jan & Muhammad Alam Zaib Khan, 2022. "Optimisation of tensile and compressive behaviour of PLA 3D printed parts using categorical response surface methodology," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 41(4), pages 417-437.
    • Handle: RePEc:ids:ijisen:v:41:y:2022:i:4:p:417-437
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