Projection micro-stereolithography (P-μSLA) processes have been widely utilized in three-dimensional (3D) digital fabrication. However, various uncertainties of a photopolymerization process often deteriorates the geometric accuracy of fabrication results. A predictive model that maps input shapes to actual outcomes in real-time would be immensely beneficial for designers and process engineers, permitting rapid design exploration through inexpensive trials-and-errors, such that optimal design parameters as well as optimal shape modification plan could be identified with only minimal waste of time, material, and labor. However, no computational model has ever succeeded in predicting such geometric inaccuracies to a reasonable precision. In this regard, we propose a novel idea of predicting output shapes from input projection patterns of a P-μSLA process via deep neural networks. To this end, a convolutional encoder-decoder network is proposed in this paper. The network takes a projection image as the input and returns a predicted shape after fabrication as the output. Cross-validation analyses showed the root-mean-square-error (RMSE) of 10.72 μm in average, indicating noticeable performance of the proposed convolutional encoder-decoder network.
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ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 26–29, 2018
Quebec City, Quebec, Canada
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5173-9
PROCEEDINGS PAPER
Predicting Manufactured Shapes of a Projection Micro-Stereolithography Process via Convolutional Encoder-Decoder Networks
Stephen Baek
Stephen Baek
University of Iowa, Iowa City, IA
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Yusen He
University of Iowa, Iowa City, IA
Fan Fei
University of Iowa, Iowa City, IA
Wenbo Wang
University of Iowa, Iowa City, IA
Xuan Song
University of Iowa, Iowa City, IA
Zhiyu Sun
University of Iowa, Iowa City, IA
Stephen Baek
University of Iowa, Iowa City, IA
Paper No:
DETC2018-85458, V01BT02A033; 8 pages
Published Online:
November 2, 2018
Citation
He, Y, Fei, F, Wang, W, Song, X, Sun, Z, & Baek, S. "Predicting Manufactured Shapes of a Projection Micro-Stereolithography Process via Convolutional Encoder-Decoder Networks." Proceedings of the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1B: 38th Computers and Information in Engineering Conference. Quebec City, Quebec, Canada. August 26–29, 2018. V01BT02A033. ASME. https://doi.org/10.1115/DETC2018-85458
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