Title: A statistical approach for process optimisation of digital light processing 3D printing process

Authors: Ergin Erdem; Arif Sirinterlikci

Addresses: Department of Engineering, Robert Morris University, Pittsburgh PA, 15108, USA ' Department of Engineering, Robert Morris University, Pittsburgh PA, 15108, USA

Abstract: This study focuses on experimental design-based approach for process optimisation of a custom-made digital light processing 3D printer. Output measures are developed taking precision and accuracy into consideration. Initial runs were conducted to identify the prominent factors which might play role on output measures. The results indicate that the layer thickness plays a significant role for the two of the developed output measures, photopolymerisation time for one measure, and sequence time for two measures as the interaction-effects also play a role to some. A composite figure that considers all three output measures simultaneously is also developed and a stepwise regression analysis is conducted to identify significant factors. The regression model has moderate R² value (68.12%), also indicating that layer thickness and photopolymerisation period play a role. The recommended levels for layer thickness is found to be 0.2 millimetres and photopolymerisation period as 12 seconds based on the composite figure.

Keywords: process optimisation; design of experiments; 3D printing; stepwise regression; digital light processing; DLP.

DOI: 10.1504/IJRAPIDM.2020.107737

International Journal of Rapid Manufacturing, 2020 Vol.9 No.2/3, pp.231 - 250

Received: 24 Sep 2018
Accepted: 10 Dec 2018
Published online: 11 Jun 2020 *

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