Design and optimization of projection stereolithography additive manufacturing system with multi-pass scanning

Abstract

Purpose

Scanning projection-based stereolithography (SPSL) is a powerful technology for additive manufacturing with high resolution as well as large building area. However, the surface quality of stitching boundary in an SPSL system has been rarely studied, and no positive settlement was proposed to address the poor stitching quality. This paper aims to propose an approach of multi-pass scanning and a compensation algorithm for multi-pass scanning process to address the issue of poor stitching quality in SPSL systems.

Design/methodology/approach

The process of multi-pass scanning is realized by scanning regions repeatedly, and the regions can be cured simultaneously because of the very short repeat exposure time and very fast scanning. Then, the poor stitching quality caused by the non-simultaneous curing can be eliminated. Also, a compensation algorithm is designed for multi-pass scanning to reduce the stitching errors. The validity of multi-pass scanning is verified by curing depth test, while the performance of multi-pass scanning as well as proposed compensation algorithm is demonstrated by comparing with that of a previous SPSL system.

Findings

The results lead to a conclusion that multi-pass scanning with its compensation algorithm is an effective approach to improve the stitching quality of an SPSL system.

Practical implications

This study can provide advice for researchers to achieve the satisfactory surface finish with SPSL technology.

Originality/value

The authors proposed a process of multi-pass scanning as well as a compensation algorithm for SPSL additive manufacturing (system to improve the stitching quality, which has rarely been studied in previous work.

Citation

Qin, Q., Huang, J., Yao, J. and Gao, W. (2021), "Design and optimization of projection stereolithography additive manufacturing system with multi-pass scanning", Rapid Prototyping Journal, Vol. 27 No. 3, pp. 636-642. https://doi.org/10.1108/RPJ-08-2019-0219