3D Printing and Additive Manufacturing Capability Modelling

Vaughan Michell

Abstract

The use of 3D, or additive manufacturing, is becoming more widespread and is seen as a new industrial revolution due to the advantages of a material deposition approach compared to material removal. However, little work has been done to identify and formalise the capabilities of this new technology. This paper formally analyses the generic 3D printing process of additive manufacturing and compares it with the traditional subtractive manufacturing process using the capability affordance model to determine its unique capabilities. The CAM model defines a capability as a mechanism and space-time path. Results show that whilst the mechanisms differ in terms of force and heat drivers, it is the space time path topology that is key to manufacturing capability differences. We apply a topological analysis to identify the unique affordance path of 3D printing which clearly demonstrates its superiority in complex and integrated part manufacture. Finally we outline the differences in the key capability affordance factors for manufacturing in the two methods. This paper builds on earlier work concerning the capability affordance model as a knowledge model to analyse and understand capabilities and the unique advantages and possibilities of 3D printing.

References

  1. Bassett, K., Carriveau, R., & Ting, D. K. (2015). 3D printed wind turbines part 1: Design considerations and rapid manufacture potential. Sustainable Energy Technologies and Assessments, 11, 186-193.
  2. Berman, B. (2012). 3-D printing: The new industrial revolution. Business horizons, 55(2), 155-162.
  3. Blackenfelt, M. (2001). Managing complexity by product modularisation
  4. Billen, R., & Kurata, Y. (2008). Refining Topological Relations between Regions Considering Their Shapes. In Geographic Information Science (pp. 20-37). Springer Berlin Heidelberg.
  5. Borrmann, A., Van Treeck, C., & Rank, E. (2006, June). Towards a 3D spatial query language for building information models. In Proc. Joint Int. Conf. of Computing and Decision Making in Civil and Building Engineering (ICCCBE-XI) (Vol. 2).
  6. Borrmann, A., & Rank, E. (2009). Topological analysis of 3D building models using a spatial query language. Advanced Engineering Informatics, 23(4), 370-385.
  7. Choi, S. H., & Samavedam, S. (2002). Modelling and optimisation of rapid prototyping. Computers in industry, 47(1), 39-53.
  8. Conner, B. P., Manogharan, G. P., Martof, A. N., Rodomsky, L. M., Rodomsky, C. M., Jordan, D. C., & Limperos, J. W. (2014). Making sense of 3-D printing: Creating a map of additive manufacturing products and services. Additive Manufacturing, 1, 64-76.
  9. D'aveni, R. A. (2013). 3-D printing will change the world. Harvard business review, 91(3), 34-35.
  10. Depoorter, B. (2013). Intellectual Property Infringements & 3D Printing: Decentralized Piracy. Hastings LJ, 65, 1483.
  11. Doubrovski, E. L., Verlinden, J. C., & Geraedts, J. M. P. (2011) From factory to replicator
  12. Egenhofer, M. J., & Franzosa, R. D. (1991). Point-set topological spatial relations. International Journal of Geographical Information System, 5(2), 161-174.
  13. Egenhofer‡, M. J., Clementini, E., & Di Felice, P. (1994). Topological relations between regions with holes†. International Journal of Geographical Information Science, 8(2), 129-142.
  14. Egenhofer, M. J. (1994). Deriving the composition of binary topological relations. Journal of Visual Languages & Computing, 5(2), 133-149.
  15. Feng, C. X., & Kusiak, A. (1995). Constraint-based design of parts. Computer-Aided Design, 27(5), 343-352.
  16. Ganeriwala, R., & Zohdi, T. I. (2014). Multiphysics modeling and simulation of selective laser sintering manufacturing processes. Procedia CIRP, 14, 299-304.
  17. Gibson, J.: The Ecological Approach to Visual Perception. Houghton Mifflin Company, Boston (1979) California Management Review.
  18. Gupta, Satyandra K., William C. Regli, Diganta Das, and Dana S. Nau. "Automated manufacturability analysis: a survey." Research in Engineering Design 9, no. 3 (1997): 168-190.
  19. Hoy, M. B. (2013). 3D printing: making things at the library. Medical reference services quarterly, 32(1), 93- 99.
  20. Matthews, J. A. (2007). A constraint-based approach for assessing the capabilities of existing designs to handle product variation (Doctoral dissertation, University Library).
  21. Michell, V.A.(2011) A Focused Approach to Business Capability. First International Symposium on Business Modelling and Software Design - BMSD 2011, Sofia, Bulgaria, pp. 105-113.
  22. Michell V. (2012) The Capability Affordance Model: Comparing Medical Capabilities. In: B. Shishkov (Ed.) Business Modeling and Software Design - BMSD'12 Revised Selected Papers, Springer-Verlag - Lecture Notes in Business Information Processing, BerlinHeidelberg
  23. Michell, V., & Roubtsova, E. (2014). Modelling Capability and Affordance as Properties of Human/Machine Resource Systems. In Proceedings of the 4th International Symposium on Business Modeling and Software Design, BMSD
  24. Nair 2014 democratising-manufacturing-3d-printing-is-setto-change-the-startup-landscape. Available at http://www.thestar.com.my/business/sme/2014/03/26/ democratising-manufacturing-3d-printing-is-set-tochange-the-startup-landscape/[ Accessed 04 May 2016]
  25. Nelaturi, S., & Shapiro, V. (2015). Representation and analysis of additively manufactured parts. ComputerAided Design, 67(C), 13-23.
  26. Norton, A. (2001). Utilising Rapid Product Development and Late Customisation Methodologies within Manufacturing SMEs. PDF article to link: https://www. google. com/# q= Rapid+ Product+ De velopment+ and+ Late+ Customisation, 15-16.
  27. Pham, D. T., & Gault, R. S. (1998). A comparison of rapid prototyping technologies. International Journal of machine tools and manufacture, 38(10), 1257-1287.
  28. Rosen, D. W. (2007). Computer-aided design for additive manufacturing of cellular structures. Computer-Aided Design and Applications, 4(5), 585-594.
  29. Tapie, L., Mawussi, B., & Bernard, A. (2012). Topological model for machining of parts with complex shapes. Computers in Industry, 63(5), 528-541.
  30. Turvey, M.T. (1992). Affordances and Prospective Control: An Outline of the Ontology. Ecological Psychology 4(3), 173-187.
Download


Paper Citation


in Harvard Style

Michell V. (2016). 3D Printing and Additive Manufacturing Capability Modelling . In Proceedings of the Sixth International Symposium on Business Modeling and Software Design - Volume 1: BMSD, ISBN 978-989-758-190-8, pages 73-83. DOI: 10.5220/0006222400730083


in Bibtex Style

@conference{bmsd16,
author={Vaughan Michell},
title={3D Printing and Additive Manufacturing Capability Modelling},
booktitle={Proceedings of the Sixth International Symposium on Business Modeling and Software Design - Volume 1: BMSD,},
year={2016},
pages={73-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006222400730083},
isbn={978-989-758-190-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Symposium on Business Modeling and Software Design - Volume 1: BMSD,
TI - 3D Printing and Additive Manufacturing Capability Modelling
SN - 978-989-758-190-8
AU - Michell V.
PY - 2016
SP - 73
EP - 83
DO - 10.5220/0006222400730083