Korean Journal of Computational Design and Engineering (한국CDE학회논문집)

Society for Computational Design and Engineering (한국CDE학회)
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An Extended Product Data Management System Supporting Personal Manufacturing Based on Connected Consumer 3D Printing Services

3D 프린팅 서비스 기반 개인제조를 지원하는 확장 제품자료관리 시스템

  • Do, Namchul (Dept. of Industrial and Systems Engineering, Gyeongsang Nat'l Univ., ERI)
  • 도남철 (경상대학교 산업시스템공학부, ERI)
  • Received : 2016.02.15
  • Accepted : 2016.04.05
  • Published : 2016.09.01
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Abstract

The low price around 1000 USD makes consumer 3D printers as a new additive manufacturing platform for the personal manufacturing where consumers can make and sell their own products. To allow the consumers to design and manufacture their products, not only economic 3D printers but also supporting information systems for their design and manufacturing are essential. This study suggests an extended product data management (PDM) system that can support both the design and manufacturing of personal products with consumer 3D printing services. This extended PDM system helps consumer designers use advanced PDM technologies for their design and connected 3D printing services with Internet of Things (IoT) technology for realization of their products. As a result, the proposed system supports the consumer designers a seamless integrated product development and manufacturing environment supported by PDM and consumer 3D printing services.

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References

  1. McKinsey Global Institute, 2013, Disruptive Technologies: Advances That will Transform Life, Business, and the Global Economy, McKinsey Global Institute Report.
  2. Anderson, C., 2012, "Makers: The New Industrial Revolution", Crown Business, New York.
  3. Kwak, K. and Park, S., 2013, Technical Trends of Global 3D Printer Industry, Journal of the KSME, 53(10).
  4. RepRap, http://www.reprap.org/wiki/About, 2016.
  5. Shapeways, http://www.shapeways.com, 2016.
  6. Thingiverse, http://www.thingiverse.com/about, 2016.
  7. Autodesk, http://www.123dapp.com, 2016.
  8. 3D Hubs, https://www.3dhubs.com/about, 2016.
  9. Wikipedia, https://en.wikipedia.org/wiki/Concurrent_engineering, 2016.
  10. Bernard, A. and Perry, N., 2003, Fundamental Concepts of Product/Technology/Process Informational Integration for Process Modelling and Process Planning, The International Journal of Computer Integrated Manufacturing, 16(7-8), pp.557-565. https://doi.org/10.1080/0951192031000115723
  11. Nguyen, V.D. and Martin, P., 2015, Product Design-process Selection-process Planning Integration Based on Modeling and Simulation, The International Journal of Advanced Manufacturing Technology, 77(1), 187-201. https://doi.org/10.1007/s00170-014-6446-7
  12. Kulkarni, P., Marsan, A. and Dutta, D., 2000, A Review of Process Planning Techniques in Layered Manufacturing, Rapid Prototyping Journal, 6(1), pp.18-35. https://doi.org/10.1108/13552540010309859
  13. Zhang, Y., Gupta, R.K. and Bernard, A., 2016, Two-dimensional Placement Optimization for Multi-parts Production in Additive Manufacturing, Robotics and Computer-Integrated Manufacturing, 38, pp.102-117. https://doi.org/10.1016/j.rcim.2015.11.003
  14. Park, H.-S. and Tran, N.-H., 2015, Computer Aided Process Planning for 3D Printing, Journal of the Korean Society of Manufacturing Technology Engineers, 24(2), pp.148-154. https://doi.org/10.7735/ksmte.2015.24.2.148
  15. Jun, H.-B., Kiritsis, D. and Xirouchakis, P., 2007, Research Issues on Closed-loop PLM, Computers in Industry, 58, pp.855-868. https://doi.org/10.1016/j.compind.2007.04.001
  16. Kiritsis, D., 2011, Closed-loop PLM for Intelligent Products in the Era of the Internet of things, Computer-Aided Design, 43(5), pp.479-501. https://doi.org/10.1016/j.cad.2010.03.002
  17. Do, N., 2016, Integration of Social Media with Product Data Management for Collaborative Product Design, Journal of the Korean Institute of Industrial Engineers, 42(2), pp.50-56. https://doi.org/10.7232/JKIIE.2016.42.1.050
  18. Do, N., 2015, Education of Collaborative Product Data Management by Using Social Media in a Product Data Management, System Transactions of the Society of CAD/CAM Engineers, 20(3), pp.1-9.
  19. Denger, A., Maletz, M. and Helic, D., 2010, Social Computing: A Future Approach of Product Lifecycle Management, Proceedings of I-KNOW, Graz, Austria, September 1-3.
  20. Gopsill, J.A., McAlpine, H.C. and Hicks, B.J., 2011, Trends in Technology and their Possible Implications on PLM: Looking Towards 2020, International Conference on Product Lifecycle Management, Eindhoven, The Netherlands, July 11-13.
  21. Staisch, A., Peters, G., Stueckl, T. and Sergua, J., 2012, Current Trends in Product Lifecycle Management, the 23rd Australasian Conference on Information Systems, Geelong, December 3-5.
  22. Huang G.Q., Yee, W.Y. and Mak, K.L., 2001, Development of a Web-based System for Engineering Change Management, Robotics and Computer-Integrated Manufacturing, 17(3), pp.255-267. https://doi.org/10.1016/S0736-5845(00)00058-2
  23. Siemens PLM Software, http://www.plm.automation.siemens.com/en_us/products/teamcenter/index.shtml, 2016.
  24. Michael, C., Markus, L. and Roger, R., 2010, The Internet of Things, McKinsey Quarterly, 2.
  25. Octo Print, http://octoprint.org, 2016.
  26. TEE, http://tee.gnu.ac.kr, 2016.
  27. Wikipedia, https://en.wikipedia.org/wiki/IDEF0, 2016.