A Kind of Accuracy Improving Method Based on Error Analysis and Feedback for DLP 3D Printing

Abstract

As an important 3D printing technology, Surface Exposure Rapid Prototyping Technology (SERPT) has developed rapidly in recent years. In order to optimize the printing quality and improve the accuracy of Digital Light Processing (DLP) 3D printing, the main errors in the process of DLP 3D printing is enumerated first in this paper. Further, based on the DLP 3D printing system, a closed-loop transfer function is constructed to measure and analyze all the existing errors. And then, a closed-loop negative feedback mechanism is proposed to compare the formed size and the target size of the model, for the purpose of correcting or compensating the printing errors. Finally, the new printing model size is fitted linearly, which effectively reduces the errors of DLP 3D printing. Then a better 3D printing model could be obtained.