Multi-Objective Optimization for the Compressive Strength and Dimensional Accuracy of LCD Printed Parts Using Grey Relational Analysis

Resin 3-Dimensional (3D) printing technology moved beyond rapid prototyping to making of functional end-use products having intricate geometries and customized properties.MSLA (LCD-based) stereolithography provides higher levels of surface finish and dimensional accuracy, but it needs careful calibration of the parameters to find the right balance between mechanical performance and accuracy.The presented work explores the influence of exposure time, lifting speed and light-off delay on the compressive strength and the dimensional accuracy (diameter and height) of ASTM 695 samples.A full-factorial design of experiments has achieved to conduct the experiments that were analyzed using ANOVA.The results show that exposure duration is the most important element for compressive strength, accounting for about 62% of the total variation.Light-off delay, on the other hand, is the most important factor for dimensional integrity, accounting for about 45% of the variation in overall accuracy.The results show that there is a trade-off between mechanical performance and dimensional accuracy.Longer exposure times make the parts stronger but also make them a little oversized.On the other hand, an intermediate light-off delay of about 1.0 seconds gives the best dimensional accuracy.Featuring these insights, a multi-objective optimization framework using grey relational analysis was developed to find optimal parameter configuration that can achieve both high compressive strength and low dimensional errors.