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

Muhammad Waseem, Tufail Habib, Usman Ghani, Muhammad Abas, Qazi Muhammad Usman Jan and Muhammad Alam Zaib Khan

International Journal of Industrial and Systems Engineering, 2022, vol. 41, issue 4, 417-437

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. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=124997 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:41:y:2022:i:4:p:417-437

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().