Mask Image Planning for Deformation Control in Projection-Based Stereolithography Process

Author:

Xu Kai1,Chen Yong2

Affiliation:

1. Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA 90089

2. Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA 90089 e-mail:

Abstract

The mask-image-projection-based stereolithography process (MIP-SL) using a digital micromirror device (DMD) is an area-processing-based additive manufacturing (AM) process. In the MIP-SL process, a set of mask images are dynamically projected onto a resin surface to selectively cure liquid resin into layers of an object. Consequently, the MIP-SL process can be faster with a lower cost than the laser-based stereolithography apparatus (SLA) process. Currently an increasing number of companies are developing low-cost 3D printers based on the MIP-SL process. However, current commercially available MIP-SL systems are mostly based on Acrylate resins, which have larger shrinkages when compared to epoxy resins used in the laser-based SLA process. Consequently, controlling the shrinkage-related shape deformation in the MIP-SL process is challenging. In this research, we evaluate different mask image exposing strategies for building part layers and their effects on the deformation control in the MIP-SL process. Accordingly, a mask image planning method and related algorithms have been developed for a given computer-aided design (CAD) model. The planned mask images have been tested by using a commercial MIP-SL machine. The experimental results illustrate that our method can effectively reduce the deformation by as much as 32%. A discussion on the advantages and disadvantages of the mask image planning method and future research directions are also presented.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference38 articles.

1. Koplin, C., Gurr, M., Mülhaupt, R., and Jaeger, R., 2008, “Shape Accuracy in Stereolithography: A Ma-Terial Model for the Curing Behavior of Photo-Initiated Resins,” International User's Conference on Rapid Prototyping and Rapid Tooling and Rapid Manufacturing (Euro-uRapid), pp. 315–318.

2. Davis, B. E., 2001, “Characterization and Calibration of Stereolithography Products and Processes,” Master thesis, Georgia Institute of Technology, Atlanta, GA.

3. Multitool and Multi-Axis Computer Numerically Controlled Accumulation for Fabricating Conformal Features on Curved Surfaces;ASME J. Manuf. Sci. Eng.,2014

4. A Direct Tool Path Planning Algorithm for Line Scanning Based Stereolithography;ASME J. Manuf. Sci. Eng.,2014

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