Title: Optimisation of tensile and compressive behaviour of PLA 3D printed parts using categorical response surface methodology
Authors: Muhammad Waseem; Tufail Habib; Usman Ghani; Muhammad Abas; Qazi Muhammad Usman Jan; Muhammad Alam Zaib Khan
Addresses: Department of Industrial Engineering, University of Engineering and Technology, Peshawar, Pakistan ' Department of Industrial Engineering, University of Engineering and Technology, Jalozai Campus, Pakistan ' Department of Mechanical Engineering, University of Engineering and Technology, Jalozai Campus, Pakistan ' Department of Industrial Engineering, University of Engineering and Technology, Peshawar, Pakistan ' Department of Industrial Engineering, College of Aeronautical Engineering, National University of Science and Technology, Islamabad, Pakistan ' Department of Mechanical Engineering, University of Engineering and Technology, Peshawar, Pakistan
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.
Keywords: additive manufacturing; fused deposition modelling; FDM; polylactic acid; PLA; tensile strength; compression strength; response surface methodology; RSM.
DOI: 10.1504/IJISE.2022.124997
International Journal of Industrial and Systems Engineering, 2022 Vol.41 No.4, pp.417 - 437
Received: 14 Jun 2020
Accepted: 19 Sep 2020
Published online: 22 Aug 2022 *