Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-27T07:03:04.666Z Has data issue: false hasContentIssue false
  • English
  • Français

A proposal for guiding the selection of suitable DfAM support based on experiential knowledge

Published online by Cambridge University Press:  16 May 2024

Pascal Schmitt ,
Lisa Siewert  and
Kilian Gericke
Pascal Schmitt*
Affiliation:
University of Rostock, Germany
Lisa Siewert
Affiliation:
University of Rostock, Germany
Kilian Gericke
Affiliation:
University of Rostock, Germany
*
pascal.schmitt@uni-rostock.de

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Unlocking additive manufacturing's (AM) potential requires designer expertise. Design for additive manufacturing (DfAM) addresses this need but faces barriers, such as uncertainty in scope of integration, design support selection, result validation or time investment for incorporating design support. This paper proposes a framework aligning SCRUM (agile framework) to aid designers in overcoming those barriers. The goal is to pave the way for a better exchange between academia and industry and fostering iterative development of DfAM support tailored to designer needs.

Keywords

additive manufacturingdesign for additive manufacturing (DfAM)agile developmentdesign supportdesign methodology
Type
Design for Additive Manufacturing
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 1829 - 1838
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), 2024.

References

Beck., K. (2000), Extreme Programming Explained: Embrace Change. Addison-Wesley Professional, 1999., XP Series.Google Scholar
Beckmann, G., Gebhardt, N., Bahns, T. and Krause, D. (2016), “Approach to transfer methods for developing modular product families into practice”, Proceedings of International Design Conference, DESIGN, DS 84.Google Scholar
Bender, B. and Gericke, K. (2021), Pahl/Beitz Konstruktionslehre 9. Auflage 2021.CrossRefGoogle Scholar
Blessing, L.T.M. and Chakrabarti, A. (2009), “DRM: A Design Reseach Methodology”, DRM, a Design Research Methodology, Springer London, pp. 13–42.CrossRefGoogle Scholar
Blosch-Paidosh, A. and Shea, K. (2021), “Enhancing creative redesign through multimodal design heuristics for additive manufacturing”, Journal of Mechanical Design, Vol. 143 No. 10, https://dx.doi.org/10.1115/1.4050656.CrossRefGoogle Scholar
Blösch-Paidosh, A. and Shea, K. (2022), “Industrial evaluation of design heuristics for additive manufacturing”, Design Science, Vol. 8, https://dx.doi.org/10.1017/dsj.2022.8.CrossRefGoogle Scholar
Brennan, J.B., Simpson, T.W., McComb, C., Jablokow, K.W. and Hamann, J. (2021), “Part filtering methods for additive manufacturing: A detailed review and a novel process-agnostic method”, Additive Manufacturing, Vol. 47, https://dx.doi.org/10.1016/j.addma.2021.102115.CrossRefGoogle Scholar
Cayley, A., Mathur, J. and Meisel, N. (2022), “TOWARD A COMPREHENSIVE FRAMEWORK FOR PRELIMINARY DESIGN EVALUATION IN ADDITIVE MANUFACTURING”, Proceedings of the ASME Design Engineering Technical Conference, Vol. 3-A, https://dx.doi.org/10.1115/DETC2022-90058.Google Scholar
Cooper, R.G. and Sommer, A.F. (2018), “Agile–Stage-Gate for Manufacturers”, Research-Technology Management, Vol. 61 No. 2, https://dx.doi.org/10.1080/08956308.2018.1421380.CrossRefGoogle Scholar
Djokikj, J. and Kandikjan, T. (2022), “DfAM: Development of design rules for FFF”, Procedia CIRP, Vol. 112, https://dx.doi.org/10.1016/j.procir.2022.09.011.CrossRefGoogle Scholar
Ehrlenspiel, K., Kiewert, A. and Lindemann, U. (2007), Cost-Efficient Design, Cost-Efficient Design, https://dx.doi.org/10.1007/978-3-540-34648-7.CrossRefGoogle Scholar
Ellsel, C., Werner, S., Göpfert, J. and Stark, R. (2021), “Evaluation of design support tools for additive manufacturing and conceptualisation of an integrated knowledge management framework”, Proceedings of the 32nd Symposium Design for X, DFX 2021, https://dx.doi.org/10.35199/dfx2021.17.CrossRefGoogle Scholar
Ewald, A. and Schlattmann, J. (2018), “Design guidelines for laser metal deposition of lightweight structures”, LIA Today, Vol. 26, https://dx.doi.org/10.2351/1.5040612.Google Scholar
Ganter, N.V., Bode, B., Gembarski, P.C. and Lachmayer, R. (2021), “Method for upgrading a component within refurbishment”, Proceedings of the Design Society, Vol. 1, https://dx.doi.org/10.1017/pds.2021.467.CrossRefGoogle Scholar
Gericke, K. and Bender, B. (2021), Pahl/Beitz Konstruktionslehre, Pahl/Beitz Konstruktionslehre, available at: https://doi.org/10.1007/978-3-662-57303-7.CrossRefGoogle Scholar
Gericke, K., Eckert, C. and Stacey, M. (2022), “Elements of a design method - a basis for describing and evaluating design methods”, Design Science, Vol. 8, available at: https://doi.org/10.1017/dsj.2022.23.CrossRefGoogle Scholar
Gericke, K., Kramer, J. and Roschuni, C. (2016), “An exploratory study of the discovery and selection of design methods in practice”, Journal of Mechanical Design, Vol. 138 No. 10, https://dx.doi.org/10.1115/1.4034088.CrossRefGoogle Scholar
Gibson, I., Rosen, D., Stucker, B. and Khorasani, M. (2021), “Design for Additive Manufacturing”, Additive Manufacturing Technologies, Springer, Cham, Cham, pp. 555–607.CrossRefGoogle Scholar
Gross, J., Park, K. and Okudan Kremer, G.E. (2018), “Design for additive manufacturing inspired by TRIZ”, Proceedings of the ASME Design Engineering Technical Conference, Vol. 4, https://dx.doi.org/10.1115/DETC2018-85761.Google Scholar
Guertler, M.R., Clemon, L.M., Bennett, N.S. and Deuse, J. (2022), “Design for Additive Manufacturing (DfAM): Analysing and Mapping Research Trends and Industry Needs”, PICMET 2022 - Portland International Conference on Management of Engineering and Technology: Technology Management and Leadership in Digital Transformation - Looking Ahead to Post-COVID Era, Proceedings, available at: https://doi.org/10.23919/PICMET53225.2022.9882894.CrossRefGoogle Scholar
Herzog, D., Asami, K., Scholl, C., Ohle, C., Emmelmann, C., Sharma, A., Markovic, N., et al. (2022), “Design guidelines for laser powder bed fusion in Inconel 718”, Journal of Laser Applications, Vol. 34 No. 1, https://dx.doi.org/10.2351/7.0000508.CrossRefGoogle Scholar
Kampker, A., Ayvaz, P., Lukas, G., Hohenstein, S. and Kromer, V. (2019), “Activity-based Cost Model for Material Extrusion Processes Along the Additive Manufacturing Process Chain”, IEEE International Conference on Industrial Engineering and Engineering Management, https://dx.doi.org/10.1109/IEEM44572.2019.8978507.CrossRefGoogle Scholar
Kazmer, D., Peterson, A.M., Masato, D., Colon, A.R. and Krantz, J. (2023), “Strategic cost and sustainability analyses of injection molding and material extrusion additive manufacturing”, Polymer Engineering and Science, Vol. 63 No. 3, https://dx.doi.org/10.1002/pen.26256.CrossRefGoogle Scholar
Kumke, M. (2018), “Grundlagen der additiven Fertigung”, Methodisches Konstruieren von Additiv Gefertigten Bauteilen, https://dx.doi.org/10.1007/978-3-658-22209-3_2.CrossRefGoogle Scholar
Kumke, M., Watschke, H., Hartogh, P., Bavendiek, A.K. and Vietor, T. (2018), “Methods and tools for identifying and leveraging additive manufacturing design potentials”, International Journal on Interactive Design and Manufacturing, https://dx.doi.org/10.1007/s12008-017-0399-7.CrossRefGoogle Scholar
Kumke, M., Watschke, H. and Vietor, T. (2016), “A new methodological framework for design for additive manufacturing”, Virtual and Physical Prototyping, https://dx.doi.org/10.1080/17452759.2016.1139377.CrossRefGoogle Scholar
Lachmayer, R. and Lippert, R.B. (2020), Entwicklungsmethodik Für Die Additive Fertigung, Entwicklungsmethodik Für Die Additive Fertigung, https://dx.doi.org/10.1007/978-3-662-59789-7.CrossRefGoogle Scholar
Lang, A., Segonds, F., Jean, C., Gazo, C., Guegan, J., Buisine, S. and Mantelet, F. (2021), “Augmented Design with Additive Manufacturing Methodology: Tangible Object-Based Method to Enhance Creativity in Design for Additive Manufacturing”, 3D Printing and Additive Manufacturing, Vol. 8 No. 5, https://dx.doi.org/10.1089/3dp.2020.0286.CrossRefGoogle Scholar
Liu, W., Zhu, Z. and Ye, S. (2019), “Industrial Case Studies of Design for Plastic Additive Manufacturing for End-Use Consumer Products”, 3D Printing and Additive Manufacturing, https://dx.doi.org/10.1089/3dp.2019.0079.CrossRefGoogle Scholar
Mazlan, S.N.H., Abdul Kadir, A.Z., Deja, M., Zieliński, D. and Alkahari, M.R. (2022), “Development of Technical Creativity Featuring Modified TRIZ-AM Inventive Principle to Support Additive Manufacturing”, Journal of Mechanical Design, Vol. 144 No. 5, https://dx.doi.org/10.1115/1.4052758.CrossRefGoogle Scholar
Murray, L.K., Ekong, J., Niknam, S.A. and Rust, M.J. (2022), “A Framework for Implementing Design for Additive Manufacturing Methods in First-Year Engineering Curriculum: Investigating the effects of specialized training on engineering design and student self-efficacy”, ASEE Annual Conference and Exposition, Conference Proceedings.Google Scholar
Naser, A.Z., Defersha, F., Pei, E., Zhao, Y.F. and Yang, S. (2023), “Toward automated life cycle assessment for additive manufacturing: A systematic review of influential parameters and framework design”, Sustainable Production and Consumption, https://dx.doi.org/10.1016/j.spc.2023.08.009.CrossRefGoogle Scholar
Nieto, D.M. and Sánchez, D.M. (2021), “Design for additive manufacturing: Tool review and a case study”, Applied Sciences (Switzerland), Vol. 11 No. 4, pp. 1–13.Google Scholar
Ntintakis, I., Stavroulakis, G.E., Sfakianakis, G. and Fiotodimitrakis, N. (2022), “Utilizing Generative Design for Additive Manufacturing”, Lecture Notes in Mechanical Engineering, https://dx.doi.org/10.1007/978-981-16-7787-8_78.CrossRefGoogle Scholar
Ponche, R., Hascoet, J.Y., Kerbrat, O. and Mognol, P. (2018), “A new global approach to design for additive manufacturing: A method to obtain a design that meets specifications while optimizing a given additive manufacturing process is presented in this paper”, Additive Manufacturing Handbook: Product Development for the Defense Industry, https://dx.doi.org/10.1080/17452759.2012.679499.CrossRefGoogle Scholar
Pradel, P., Zhu, Z., Bibb, R. and Moultrie, J. (2018), “A framework for mapping design for additive manufacturing knowledge for industrial and product design”, Journal of Engineering Design, https://dx.doi.org/10.1080/09544828.2018.1483011.CrossRefGoogle Scholar
Reichwein, J., Vogel, S., Schork, S. and Kirchner, E. (2020), “On the Applicability of Agile Development Methods to Design for Additive Manufacturing”, Procedia CIRP, Vol. 91, https://dx.doi.org/10.1016/j.procir.2020.03.112.CrossRefGoogle Scholar
Renjith, S.C., Park, K. and Okudan Kremer, G.E. (2020), “A Design Framework for Additive Manufacturing: Integration of Additive Manufacturing Capabilities in the Early Design Process”, International Journal of Precision Engineering and Manufacturing, Vol. 21 No. 2, https://dx.doi.org/10.1007/s12541-019-00253-3.CrossRefGoogle Scholar
Schaechtl, P., Goetz, S., Schleich, B. and Wartzack, S. (2023), “KNOWLEDGE-DRIVEN DESIGN FOR ADDITIVE MANUFACTURING: A FRAMEWORK FOR DESIGN ADAPTATION”, Proceedings of the Design Society, Vol. 3, https://dx.doi.org/10.1017/pds.2023.241.CrossRefGoogle Scholar
Schmitt, P.F., Schnödewind, L. and Gericke, K. (2022), “Rethinking System Boundaries for Better Utilisation of Additive Manufacturing Potentials - A Case Study”, Proceedings of the Design Society, Vol. 2, https://dx.doi.org/10.1017/pds.2022.146.CrossRefGoogle Scholar
Schwaber, K. and Beedle, M. (2001), Agile Software Development with Scrum, Cdswebcernch.Google Scholar
Schwaber, K. and Sutherland, J. (2017), “The Scrum Guide: The Definitive The Rules of the Game”, Scrum.Org and ScrumInc, No. November.Google Scholar
Stavropoulos, P., Foteinopoulos, P., Stavridis, J. and Bikas, H. (2023), “Increasing the industrial uptake of additive manufacturing processes: A training framework”, Advances in Industrial and Manufacturing Engineering, Vol. 6, https://dx.doi.org/10.1016/j.aime.2022.100110.CrossRefGoogle Scholar
Thomas-Seale, L.E.J., Kanagalingam, S., Kirkman-Brown, J.C., Attallah, M.M., Espino, D.M. and Shepherd, D.E.T. (2023), “Teaching design for additive manufacturing: efficacy of and engagement with lecture and laboratory approaches”, International Journal of Technology and Design Education, Vol. 33 No. 2, https://dx.doi.org/10.1007/s10798-022-09741-6.CrossRefGoogle Scholar
Tlija, M. and Al-Tamimi, A.A. (2023), “Combined manufacturing and cost complexity scores-based process selection for hybrid manufacturing”, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 237 No. 10, https://dx.doi.org/10.1177/09544054221136524.Google Scholar
Toguem, S.C.T., Mehdi-Souzani, C., Nouira, H. and Anwer, N. (2020), “Axiomatic Design of Customised Additive Manufacturing Artefacts”, Procedia CIRP, Vol. 91, https://dx.doi.org/10.1016/j.procir.2020.02.246.CrossRefGoogle Scholar
Valjak, F. and Bojčetić, N. (2023), “Functional modelling through Function Class Method: A case from DfAM domain”, Alexandria Engineering Journal, Vol. 66, https://dx.doi.org/10.1016/j.aej.2022.12.001.CrossRefGoogle Scholar
J, ZHU., H, ZHOU., C, WANG., L, ZHOU., S, YUAN. and W, ZHANG. (2021), “A review of topology optimization for additive manufacturing: Status and challenges”, Chinese Journal of Aeronautics, https://dx.doi.org/10.1016/j.cja.2020.09.020.CrossRefGoogle Scholar