Smart Manufacturability Analysis for Digital Product Development

作者: Steven Goguelin , Joshua Colaco , Vimal Dhokia , Dirk Schaefer

DOI: 10.1016/J.PROCIR.2017.02.026

关键词:

摘要: Cloud-Based Design and Manufacturing is a service-oriented networked product development model in which service consumers are enabled to configure, select utilize customized realization services ranging from computer-aided engineering software reconfigurable manufacturing systems. So far, this paradigm has mainly been tested for digital design fabrication processes including the usual steps of designing an artefact with CAD system then have prototype manufactured 3D printer. Unfortunately, common mishap that can often be observed artefacts look perfectly fine on computer screen come out severely misshaped In paper, we first investigate document phenomenon explain its root cause, concerns a) data transmitted printer, b) inappropriate features, c) mismatch between geometry requirements printer capabilities. As more entrepreneurs, hobbyists maker communities, other not always fully trained individuals pursue their make ideas, there need smart computer-based support facilitate successful design-to-print process. Such DfM assistant might pop up prompt designer modify identified critical areas so it printed chosen or alternatively propose another type may technical capabilities accommodate current form. Acknowledging need, two-stage manufacturability assistant. The stage decomposes into series part features; second involved defining 3D-printer. Finally, begin realize by creating evaluating bespoke test used define machine-material capability map example FDM

参考文章(13)
Dirk Schaefer, David W. Rosen, Daniel Schrage, GT MENTOR: A High School Education Program in Systems Engineering and Additive Manufacturing 23rd Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Symposium (SFF 2012). ,(2012)
Guido A. O. Adam, Detmar Zimmer, On design for additive manufacturing: evaluating geometrical limitations Rapid Prototyping Journal. ,vol. 21, pp. 662- 670 ,(2015) , 10.1108/RPJ-06-2013-0060
Saigopal Nelaturi, Walter Kim, Tolga Kurtoglu, None, Manufacturability Feedback and Model Correction for Additive Manufacturing Journal of Manufacturing Science and Engineering-transactions of The Asme. ,vol. 137, pp. 021015- ,(2015) , 10.1115/1.4029374
Prashant Kulkarni, Anne Marsan, Debasish Dutta, A review of process planning techniques in layered manufacturing Rapid Prototyping Journal. ,vol. 6, pp. 18- 35 ,(2000) , 10.1108/13552540010309859
K. F. Leong, C. K. Chua, Y. M. Ng, A study of stereolithography file errors and repair. Part 1. Generic solution The International Journal of Advanced Manufacturing Technology. ,vol. 12, pp. 407- 414 ,(1996) , 10.1007/BF01186929
Dazhong Wu, David W. Rosen, Lihui Wang, Dirk Schaefer, Cloud-based design and manufacturing Computer-aided Design. ,vol. 59, pp. 1- 14 ,(2015) , 10.1016/J.CAD.2014.07.006
Gregory A. Teitelbaum, Linda C. Schmidt, Yoann Goaer, Examining Potential Design Guidelines for Use in Fused Deposition Modeling to Reduce Build Time and Material Volume Volume 8: 14th Design for Manufacturing and the Life Cycle Conference; 6th Symposium on International Design and Design Education; 21st International Conference on Design Theory and Methodology, Parts A and B. pp. 73- 82 ,(2009) , 10.1115/DETC2009-87491
Olivier Kerbrat, Pascal Mognol, Jean‐Yves Hascoet, Manufacturability analysis to combine additive and subtractive processes Rapid Prototyping Journal. ,vol. 16, pp. 63- 72 ,(2010) , 10.1108/13552541011011721
Rajit Ranjan, Rutuja Samant, Sam Anand, Integration of Design for Manufacturing Methods With Topology Optimization in Additive Manufacturing Journal of Manufacturing Science and Engineering-transactions of The Asme. ,vol. 139, pp. 061007- ,(2017) , 10.1115/1.4035216