Optimizing Manufacturing Parameters of DLP Machine by Taguchi Method and Desirability Approach

Abstract

With less manufacturing time and less photosensitive resin consumed, Digital Light Processing of the bottom-up process is more forward-looking than the top-down one in terms of 3D printing technology. In view of differences in the optimization of machine printing parameters for objectives with different quality requirements, this paper discusses how the control factors consisting of machine printing parameters can obtain objects with a high quality through an experimental design with full considerations of the separation force and dimensional tolerance. By taking the titling separation mechanism as an example, the importance, contribution, and best calculation results of the control factors in forming a separation force and four dimensional tolerances are obtained using the Taguchi method and an analysis of variance, and then the optimal solution for multiple objectives is obtained via the desirability approach. It was found from this study that the rising speed of the forming platform is the most important parameter affecting the dimensional tolerance and separation force. The slice layer thickness has an inverse characteristic for optimizing the dimensional tolerance of the aperture and the face width. Regarding multi-objective optimization, it will not change the optimal printing parameters considering the minimum separation force and overall dimensional tolerance, regardless of the weight of the separation force.

Keywords

• Digital Light Processing
• 3D printing
• Taguchi method
• ANOVA
• desirability approach