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MULTI-CRITERIA ASSESSMENT AND PROCESS SELECTION MODEL FOR ADDITIVE MANUFACTURING IN THE CONCEPTUAL PHASE OF DESIGN

Published online by Cambridge University Press:  27 July 2021

Joze Tavcar  and
Axel Nordin
Joze Tavcar*
Affiliation:
Lund University
Axel Nordin
Affiliation:
Lund University
*
Tavcar, Joze, Lund University, LTH, Design Science, Product development, Sweden, joze.tavcar@design.lth.se

Abstract

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Additive manufacturing (AM), which was first applied for rapid prototyping, is now becoming a real option for small-batch production of final products. Further expansion of AM is closely correlated to production costs. AM can only become competitive to traditional manufacturing methods if a product is designed for AM already from the beginning as it is an expensive technology that should only be applied if it adds enough value to the product. The aim of this paper is to increase cost awareness in the conceptual design phase and to support product developers in doing AM cost estimation and process selection. The proposed model integrates design for AM and costs calculation. The input data to the process is preliminary design and design requirements. The main contribution of this paper is the multi-criteria AM function, which enables concurrent consideration of different technical and economical criteria. The multi-criteria AM function helps to compare how AM processing and product design parameters influence the product cost. The holistic overview of different options increases the solution space and enables product optimization in several iterations.

Keywords

Design costingDesign for Additive Manufacturing (DfAM)Conceptual designConcurrent Engineering (CE)process selection
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2197 - 2206
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

References

Armillotta, A. (2008), “Selection of layered manufacturing techniques by an adaptive AHP decision model”, Robotics and Computer-Integrated Manufacturing, Vol. 24, No. 3, pp. 450–461.CrossRefGoogle Scholar
Atzeni, E., Salmi, A. (2012), “Economics of additive manufacturing for end-useable metal parts”, International Journal of Advanced Manufacturing Technologies, Vol. 62, pp. 1147–1155.CrossRefGoogle Scholar
Baumers, M., Beltrametti, L., Gasparre, A. and Hague, R. (2017), “Informing Additive Manufacturing technology adoption: total cost and the impact of capacity utilisation”, International Journal of Production Research, Vol. 55, No. 23, pp. 6957–6970.CrossRefGoogle Scholar
Becker, R., Grzesiak, A., & Henning, A. (2005), “Rethink assembly design”, Assembly Automation, Vol. 25, No. 4, pp. 262–266.CrossRefGoogle Scholar
Byun, H. S., Lee, K. H. (2005). “A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method”, International Journal of Advanced Manufacturing Technology, Vol. 26, No. 11-12, pp. 1338–1347.CrossRefGoogle Scholar
Diegel, O., Nordin, A., Motte, D. (2020), A Practical Guide to Design for Additive Manufacturing, Springer.Google Scholar
Douglas, T., (2016), “Costs, benefits, and adoption of additive manufacturing: a supply chain perspective”, International Journal of Advanced Manufacturing Technologies, Vol. 85, pp. 1857–1876.Google Scholar
Ehrlenspiel, K., Kiewert, A., Lindemann, U., Hundal, M.S. (2007), Cost-Efficient Design, Springer.CrossRefGoogle Scholar
Franchetti, M., and Kress, C. (2017), “An economic analysis comparing the cost feasibility of replacing injection molding processes with emerging additive manufacturing techniques”, International Journal of Advanced Manufacturing Technology, Vol. 88, pp. 2573–2579.CrossRefGoogle Scholar
Hopkinson, N. (2006), “Production Economics of Rapid Manufacture. An Industrial Revolution for the Digital Age”, In: Hopkinson, et al. (Eds), Rapid Manufacturing: An Industrial Revolution for the Digital Age, pp. 147–157, Wiley.CrossRefGoogle Scholar
Inex-adAM (2019), “Advanced additive manufacturing handbook”, project report: Increasing Excellence on Advanced Additive Manufacturing.Google Scholar
ISO 1328-1:2013, Cylindrical gears — ISO system of flank tolerance classification — Part 1: Definitions and allowable values of deviations relevant to flanks of gear teeth.Google Scholar
Kampker, A., Triebs, J., Alves, B. (Ford), Kawollek, S., and Ayvaz, P. (2018), “Potential analysis of additive manufacturing technologies for fabrication of polymer tools for injection moulding – A comparative study”, 2018 IEEE International Conference on Advanced Manufacturing (ICAM), Yunlin, Taiwan.CrossRefGoogle Scholar
Niaki, M.K., Nonino, F., Palombi, G., Torabi, S.A. (2019), “Economic sustainability of additive manufacturing: Contextual factors driving its performance in rapid prototyping”, Journal of Manufacturing Technology Management, Vol. 30, No. 2, pp. 353–365.CrossRefGoogle Scholar
Sculpteo (2015), “3D Printing/traditional manufacturing: guide to cost efficiency”. Villejuif, France.Google Scholar
Stjepandic, J., Wognum, N., Verhagen, W.J.C. (2015), Concurrent Engineering in the 21st Century, Fundations, Developments and Challenges, Springer.CrossRefGoogle Scholar
Tagliaferri, V., Trovalusci, F., Guarino, S., and Venettacci, S., (2019), “Environmental and Economic Analysis of FDM, SLS and MJF Additive Manufacturing Technologies”, Materials, Vol. 12, No. 14, id. 4161.CrossRefGoogle ScholarPubMed
Tavčar, J., Černe, B., Duhovnik, J., and Zorko, D. (2021), A Multi-criteria Function for Polymer Gear Design Optimization, Journal of Computational Design and Engineering, qwaa097.CrossRefGoogle Scholar
Yosofi, M., Kerbrat, O., Mognol, P. (2018), “Framework to combine technical, economic and environmental points of view of additive manufacturing processes”, 25th CIRP Life Cycle Engineering (LCE) Conference, 2018, Copenhagen, Denmark.CrossRefGoogle Scholar
Yang, S., & Zhao, Y. (2015), “Additive manufacturing-enabled design theory and methodology: A critical review”, International Journal of Advanced Manufacturing Technology, 80, pp. 327–342.CrossRefGoogle Scholar
Vasco, J., Barreiros, F.M., Nabais, A., Reis, N. (2019), “Additive manufacturing applied to injection moulding: technical and economic impact”, Rapid Prototyping Journal, Vol. 25, No., pp. 1241–1249.CrossRefGoogle Scholar