Optimal offline compensation of shape shrinkage for three-dimensional printing processes

References

• Bugeda, G., Cervera, M., Lombera, G., and Onate, E. (1995) Numerical analysis of stereolithography processes using the finite element method. Rapid Prototyping Journal, 1(2), 13–23.
   Web of Science ®Google Scholar
• Campbell, T., Williams, C., Ivanova, O. and Garrett, B. (2011) Could 3D printing change the world? Atlantic Council Strategic Foresight Report, October 2011. Available at http://www.atlanticcouncil.org/images/files/publication_pdfs/403/101711_ACUS_3DPrinting. PDF.
   Google Scholar
• Colosimo, B., Pacella, M. and Semeraro, Q. (2008) Statistical process control for geometric specifications: on the monitoring of roundness profiles. Journal of Quality Technology, 40(1), 1–18.
   Web of Science ®Google Scholar
• Gelman, A. and Rubin, D. (1992) Inference from iterative simulation using multiple sequences. Statistical Science, 7(4), 457–472.
   Google Scholar
• Gibson, I., Rosen, D. and Stucker, B. (2009) Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing, Springer Verlag, New York, NY.
   Google Scholar
• Hilton, P. and Jacobs, P. (2000) Rapid Tooling: Technologies and Industrial Applications, CRC Press, Boca Raton, FL.
   Google Scholar
• Huang, Q., Nouri, H., Xu, K., Chen, Y., Sosina, S., and Dasgupta, T. (2014) Statistical Predictive Modeling and Compensation of Geometric Deviations of 3D Printed Products. ASME Transactions, Journal of Manufacturing Science and Engineering, Special Issue on Additive Manufacturing (AM) and 3D Printing, 136, 061008–061018.
   Web of Science ®Google Scholar
• Jacobs, P. (1992) Rapid Prototyping & Manufacturing: Fundamentals of Stereolithography. SME Press.
   Google Scholar
• Lynn-Charney, C. and Rosen, D. (2000) Usage of accuracy models in stereolithography process planning. Rapid Prototyping Journal, 6(2), 77–87.
   Web of Science ®Google Scholar
• Melchels, F., Feijen, J. and Grijpma, D. (2010) A review on stereolithography and its applications in biomedical engineering. Biomaterials, 31(24), 6121–6130.
   PubMed Web of Science ®Google Scholar
• Neal, R. (2010) MCMC using Hamiltonian dynamics, in Handbook of Markov Chain Monte Carlo, Brooks, S., Gelman, A., Jones, G.L. and Meng, X.-L. (eds.) Chapman & Hall/CRC Press, Boca Raton, FL, pp. 113–162.
   Google Scholar
• Onuh, S. and Hon, K. (2001) Improving stereolithography part accuracy for industrial applications. The International Journal of Advanced Manufacturing Technology, 17(1), 61–68.
   Web of Science ®Google Scholar
• Sabbaghi, A., Dasgupta, T., Zhang, J., and Huang, Q. (2014) Inference for deformation and interference in 3D printing. Annals of Applied Statistics, 8(3), 1395–1415.
   Web of Science ®Google Scholar
• Tang, Y., Henderson, C., Muzzy, J. and Rosen, D. (2004) Stereolithography cure modelling and simulation. International Journal of Materials and Product Technology, 21(4), 255–272.
   Web of Science ®Google Scholar
• Tong, K., Joshi, S. and Lehtihet, E. (2008) Error compensation for fused deposition modeling (fdm) machine by correcting slice files. Rapid Prototyping Journal, 14(1), 4–14.
   Web of Science ®Google Scholar
• Tong, K. Lehtihet, E. and Joshi, S. (2003) Parametric error modeling and software error compensation for rapid prototyping. Rapid Prototyping Journal, 9(5), 301–313.
   Web of Science ®Google Scholar
• Wang, W., Cheah, C., Fuh, J. and Lu, L. (1996) Influence of process parameters on stereolithography part shrinkage. Materials & Design, 17(4), 205–213.
   Web of Science ®Google Scholar
• Zhou, C. and Chen, Y. (2009) Calibrating large-area mask projection stereolithography for its accuracy and resolution improvements, in Proceedings of the International Solid Freeform Fabrication Symposium, The University of Texas at Austin.
   Google Scholar
• Zhou, C. and Chen, Y. (2012) Additive manufacturing based on optimized mask video projection for improved accuracy and resolution. Journal of Manufacturing Processes, 14, 107–118.
   Google Scholar
• Zhou, J., Herscovici, D. and Chen, C. (2000) Parametric process optimization to improve the accuracy of rapid prototyped stereolithography parts. International Journal of Machine Tools and Manufacture, 40(3), 363–379.
   Web of Science ®Google Scholar