Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-28T08:24:26.608Z Has data issue: false hasContentIssue false
  • English
  • Français

The Role of Digital Infrastructure for the Industrialisation of Design for Additive Manufacturing

Published online by Cambridge University Press:  26 May 2022

A. Mallalieu ,
T. Hajali ,
O. Isaksson  and
M. Panarotto
A. Mallalieu*
Affiliation:
Chalmers University of Technology, Sweden
T. Hajali
Affiliation:
Chalmers University of Technology, Sweden
O. Isaksson
Affiliation:
Chalmers University of Technology, Sweden
M. Panarotto
Affiliation:
Chalmers University of Technology, Sweden
*
[email protected]

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.

The use of Additive Manufacturing (AM) can bring opportunities for industry, but several challenges need to be addressed, specifically the digital infrastructure comprising the AM value chain. A combination of a systematic literature review and an industrial use case study concludes that there is low consideration of the digital infrastructure in Design for Additive Manufacturing (DfAM) methods and tools which has a negative impact on the industrialisation of AM. It is therefore recommended that further studies are to be made on how to manage the digital infrastructure in DfAM processes.

Keywords

additive manufacturingdigital designdesign toolsindustrialisation
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1401 - 1410
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), 2022.

References

Adkins, G., Little, C., Meyerhofer, P., Flynn, G. and Hammond, K. (2020), “Characterizing dynamics of additively manufactured parts”, Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 8, pp. 171–183. 10.1007/978-3-030-12684-1_17CrossRefGoogle Scholar
Afazov, S., Semerdzhieva, E., Scrimieri, D., Serjouei, A., Kairoshev, B. and Derguti, F. (2021), “An improved distortion compensation approach for additive manufacturing using optically scanned data”, Virtual and Physical Prototyping, Taylor & Francis, Vol. 16 No. 1, pp. 1–13. 10.1080/17452759.2021.1881702CrossRefGoogle Scholar
Alfaify, A., Saleh, M., Abdullah, F.M. and Al-Ahmari, A.M. (2020), “Design for additive manufacturing: A systematic review”, Sustainability, Vol. 12 No. 19. 10.3390/SU12197936CrossRefGoogle Scholar
AM-motion (2016), A strategic approach to increasing Europe's value proposition for additive manufacturing technologies and capabilities, European Commission. Available at: https://cordis.europa.eu/project/id/723560/results [Last Accessed: 22 February 2022]Google Scholar
Anand, S., Ghalsasi, O., Zhang, B., Goel, A., Reddy, S., Joshi, S. and Morris, G. (2018), “Additive Manufacturing Simulation Tools in Education”, 2018 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC), 2018, pp. 1–6. 10.1109/WEEF-GEDC.2018.8629689Google Scholar
Askari, G.H., Dar, U.A., Abid, M., Nutkani, M.B., Pasha, R.A. and Jamil, A. (2021), “Energy absorption and compression behaviour of polymeric 3D printed lattice structures - Experimental and numerical study”, Proceedings of 18th International Bhurban Conference on Applied Sciences and Technologies, IBCAST 2021, pp. 198–203. 10.1109/IBCAST51254.2021.9393216Google Scholar
Babcinschi, M., Freire, B., Neto, P., Ferreira, L.A., Señaris, B.L. and Vidal, F. (2019), “AutomationML for Data Exchange in the Robotic Process of Metal Additive Manufacturing”, IEEE International Conference on Emerging Technologies and Factory Automation (EFTA), ETFA, pp. 65–70. 10.1109/ETFA.2019.8869079Google Scholar
Bader, C. and Oxman, N. (2016), “Recursive symmetries for geometrically complex and materially heterogeneous additive manufacturing”, Computer-Aided Design, Vol. 81, pp. 39–47. 10.1016/j.cad.2016.09.002CrossRefGoogle Scholar
Balamurugan, P. and Selvakumar, N. (2021), “Development of patient specific dental implant using 3D printing”, Journal of Ambient Intelligence and Humanized Computing, Springer Berlin Heidelberg, Vol. 12 No. 3, pp. 3549–3558. 10.1007/s12652-020-02758-6CrossRefGoogle Scholar
Bender, D. and Barari, A. (2019), “Direct solid element slicing in topology optimization for additive manufacturing”, Proceedings of the ASME Design Engineering Technical Conference, Vol. 1 No. viii, pp. 1–6. 10.1115/DETC2019-98452Google Scholar
Capunaman, O.B. (2020), “CAM as a Tool for Creative Expression-Informing Digital Fabrication through Human Interaction.”, 25th International Conference on Computer-Aided Architectural Design Research, Vol. 1, pp. 243–252.CrossRefGoogle Scholar
Chang, D. and Chen, C.H. (2014), “Integration of knowledge engineering and 3d printing for digital design and manufacturing - A case study”, Proceedings of the International Conference on Progress in Additive Manufacturing, Vol. 0, pp. 47–52. 10.3850/978-981-09-0446-3_060CrossRefGoogle Scholar
Dagkolu, A., Gokdag, I. and Yilmaz, O. (2020), “Design and additive manufacturing of a fatigue-critical aerospace part using topology optimization and L-PBF process”, Procedia Manufacturing, Vol. 54, pp. 238–243. 10.1016/j.promfg.2021.07.037CrossRefGoogle Scholar
Diegel, O., Nordin, A. and Motte, D. (2019), A Practical Guide to Design for Additive Manufacturing, Springer Series in Advanced Manufacturing. Singapore.CrossRefGoogle Scholar
Egan, P.F., Engensperger, M., Ferguson, S.J. and Shea, K. (2017), “Design and Fabrication of 3D Printed Tissue Scaffolds Informed by Mechanics and Fluids Simulations”, Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 2A. Cleveland, Ohio, USA, August 6–9, 2017. 10.1115/DETC2017-67602Google Scholar
Gao, Z., Li, D., Dong, G. and Zhao, Y.F. (2020a), “Crack path-engineered 2D octet-truss lattice with bio-inspired crack deflection”, Additive Manufacturing, Vol. 36. 10.1016/j.addma.2020.101539CrossRefGoogle Scholar
Garcia, D., Wu, Z., Kim, J.Y., Yu, H.Z. and Zhu, Y. (2019), “Heterogeneous materials design in additive manufacturing: Model calibration and uncertainty-guided model selection”, Additive Manufacturing, Vol. 27, pp. 61–71. 10.1016/j.addma.2019.02.014CrossRefGoogle Scholar
Gericke, Kilian., Eckert, Claudia. and Stacey, Martin (2017). “What do we need to say about a design method?”, Proceedings 21st International Conference on Engineering Design, Vancouver, Canada. 21–25 Aug 2017.Google Scholar
Gericke, K., Eckert, C., Campean, F., Clarkson, P.J., Flening, E., Isaksson, O., Kipouros, T., et al. (2020), “Supporting designers: Moving from method menagerie to method ecosystem”, Design Science, pp. 1–22. 10.1017/dsj.2020.21Google Scholar
Grimm, M., Christ, A. and Anderl, R. (2015), “Distributed additive manufacturing-concept for the application of JT (ISO 14306) as downstream process format”, Proceedings of the ASME Design Engineering Technical Conference, Vol. 4, pp. 1–9. 10.1115/DETC2015-47418Google Scholar
He, L., Peng, H., Lin, M., Konjeti, R., Guimbretière, F. and Froehlich, J.E. (2019), “Ondulé: Designing and controlling 3D printable springs”, UIST 2019: Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, pp. 739–750. 10.1145/3332165.3347951Google Scholar
Huang, P., Li, Y., Chen, Y. and Zeng, J. (2016), “A Digital Material Design Framework for 3D-Printed Heterogeneous Objects”, Proceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 1A, Charlotte, North Carolina, USA. August 21–24, 2016. 10.1115/DETC2016-60181Google Scholar
Huang, S., Deng, X. and Lam, L.K. (2021), “Integrated design framework of 3D printed planar stainless tubular joint: Modelling, optimization, manufacturing, and experiment”, Thin-Walled Structures, Vol. 169. 10.1016/j.tws.2021.108463CrossRefGoogle Scholar
Huang, Y. and Eisenberg, M. (2012), “Easigami: Virtual creation by physical folding”, Proceedings of the 6th International Conference on Tangible, Embedded and Embodied Interaction, TEI 2012, pp. 41–48. 10.1145/2148131.2148143Google Scholar
Jalil, S.B.A., Chou, S.M. and Tai, K. (2016), “Controlling polymer digital material composition with layering”, Proceedings of the International Conference on Progress in Additive Manufacturing, pp. 525–530. https://hdl.handle.net/10356/84340Google Scholar
Leary, M. (2020), “Chapter 3: Digital design for AM”, Design for Additive Manufacturing, Elsevier, pp. 33–90. 10.1016/b978-0-12-816721-2.00003-8Google Scholar
Lerebours, A., Marin, F., Bouvier, S., Egles, C., Masquelet, A.C. and Rassineux, A. (2019), “A voxel-based method for designing a numerical biomechanical model patient-specific with an anatomical functional approach adapted to additive manufacturing”, Computer Methods in Biomechanics and Biomedical Engineering, Vol. 22 No. 3, pp. 304–312. 10.1080/10255842.2018.1552684CrossRefGoogle ScholarPubMed
Li-Jun, X., Jun, G. and Wei-Yu, Z. (2015), “Compression research of bitmap data in three-dimensional printing”, Open Mechanical Engineering Journal, Vol. 9 No. 1, pp. 646–652. 10.2174/1874155X01509010646Google Scholar
Li, C.H., Wu, C.H. and Lin, C.L. (2020b), “Design of a patient-specific mandible reconstruction implant with dental prosthesis for metal 3D printing using integrated weighted topology optimization and finite element analysis”, Journal of the Mechanical Behavior of Biomedical Materials, Vol. 105. 10.1016/j.jmbbm.2020.103700CrossRefGoogle Scholar
Kai, C. C., Jacob, G. G., & Mei, T. (1997), “Interface between CAD and rapid prototyping systems. Part 1: a study of existing interfaces”, The International Journal of Advanced Manufacturing Technology, pp. 566–570.CrossRefGoogle Scholar
Marschall, D., Sindinger, S.L., Rippl, H., Bartosova, M. and Schagerl, M. (2021), “Design, simulation, testing and application of laser-sintered conformal lattice structures on component level”, Rapid Prototyping Journal, Vol. 27 No. 11, pp. 43–57. 10.1108/RPJ-10-2020-0232CrossRefGoogle Scholar
Mathias, M., Velay, X. and Wade, R. (2008), “The challenges of assessing digital product design”, DS 46: Proceedings of E and PDE 2008, the 10th International Conference on Engineering and Product Design Education, Barcelona, Spain, 2008.Google Scholar
McMillan, M.L., Jurg, M., Leary, M. and Brandt, M. (2017), “Programmatic generation of computationally efficient lattice structures for additive manufacture”, Rapid Prototyping Journal, Vol. 23 No. 3, pp. 486–494. 10.1108/RPJ-01-2016-0014CrossRefGoogle Scholar
Mies, D., Marsden, W. and Warde, S. (2016), “Overview of Additive Manufacturing Informatics: “A Digital Thread””. Integrating Materials and Manufacturing Innovation, pp. 114–142. 10.1186/s40192-016-0050-7Google Scholar
Mustafa, S.S. and Lazoglu, I. (2021), “A new model and direct slicer for lattice structures”, Structural and Multidisciplinary Optimization, Vol. 63 No. 5, pp. 2211–2230. 10.1007/s00158-020-02796-wGoogle Scholar
Noma, Y., Narumi, K., Okuya, F. and Kawahara, Y. (2020), “Pop-up print: Rapidly 3D printing mechanically reversible objects in the folded state”, UIST 2020 - Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, pp. 58–70. 10.1145/3379337.3415853Google Scholar
Olsen, J., Day, S., Dupan, S., Nazarpour, K. and Dyson, M. (2021), “3D-Printing and Upper-Limb Prosthetic Sockets: Promises and Pitfalls”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 29, pp. 527–535. 10.1109/TNSRE.2021.3057984CrossRefGoogle ScholarPubMed
Peng, H., Wu, R., Marschner, S. and Guimbretière, F. (2016), “On-the-fly print: Incremental printing while modeling”, Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 887–896. 10.1145/2858036.2858106Google Scholar
Reid, A., Jackson, J.C. and Windmill, J.F.C. (2021), “Voxel based method for predictive modelling of solidification and stress in digital light processing based additive manufacture”, Soft Matter, Vol. 17 No. 7, pp. 1881–1887. 10.1039/D0SM01968BCrossRefGoogle ScholarPubMed
Ren, Z., Xie, H. and Ju, Y. (2021), “Determination of the stress and strain fields in porous structures by photoelasticity and digital image correlation techniques”, Polymer Testing, Vol. 102. 10.1016/j.polymertesting.2021.107315CrossRefGoogle Scholar
Rezayat, H., Bell, J.R., Plotkowski, A.J. and Babu, S.S. (2019), “Multi-solution nature of topology optimization and its application in design for additive manufacturing”, Rapid Prototyping Journal, Vol. 25 No. 9, pp. 1475–1481. 10.1108/RPJ-01-2018-0009CrossRefGoogle Scholar
Rice, H.J., Kennedy, J., Göransson, P., Dowling, L. and Trimble, D. (2020), “Design of a Kelvin cell acoustic metamaterial”, Journal of Sound and Vibration, Vol. 472. 10.1016/j.jsv.2019.115167CrossRefGoogle Scholar
Rossing, L., Scharff, R.B.N., Chömpff, B., Wang, C.C.L. and Doubrovski, E.L. (2020), “Bonding between silicones and thermoplastics using 3D printed mechanical interlocking”, Materials and Design, Vol. 186. 10.1016/j.matdes.2019.108254CrossRefGoogle Scholar
Savage, V., Follmer, S., Li, J. and Hartmann, B. (2015), “Makers' marks: Physical markup for designing and fabricating functional objects”, UIST 2015 - Proceedings of the 28th Annual ACM Symposium on User Interface Software and Technology, pp. 103–108. 10.1145/2807442.2807508Google Scholar
Smith, P. and Rennie, A. (2010), “Computer aided material selection for additive manufacturing materials”, Virtual and Physical Prototyping, Vol. 5 No. 4, pp. 209–213. 10.1080/17452759.2010.527556Google Scholar
Song, B., Feng, J. and Zhou, B. (2017), “Computational Design and fabrication of hanging structures”, SIGGRAPH Asia 2017 Technical Briefs, SA 2017. 10.1145/3145749.3149429Google Scholar
Song, H., Guimbretière, F. and Lipson, H. (2009), “The ModelCraft framework: Capturing freehand annotations and edits to facilitate the 3D model design process using a digital pen”, ACM Transactions on Computer-Human Interaction, Vol. 16 No. 3. 10.1145/1592440.1592443CrossRefGoogle Scholar
Srinivasan, N.R., Chamala Vaishnavi, J., Varun Darshan, B.L., Srajaysikhar, D., Sakthivel, G. and Raghukiran, N. (2021), “Enhancement of an electric drill body using design for additive manufacturing”, Journal of Physics: Conference Series, Vol. 1969 No. 1, pp. 0–11. 10.1088/1742-6596/1969/1/012025Google Scholar
Tucker, C.S., Saint John, D.B., Behoora, I. and Marcireau, A. (2014), “Open Source 3D Scanning and Printing for Design Capture and Realization”, Proceedings of the ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 1B. Buffalo, New York, USA. August 17–20, 2014. 10.1115/detc2014-34801Google Scholar
Valainis, D., Dondl, P., Foehr, P., Burgkart, R., Kalkhof, S., Duda, G.N., Van Griensven, M., et al. (2019), “Integrated additive design and manufacturing approach for the bioengineering of bone scaffolds for favorable mechanical and biological properties”, Biomedical Materials, Vol. 14 No. 6. 10.1088/1748-605X/ab38c6CrossRefGoogle ScholarPubMed
Wiberg, A., Persson, J. and Ölvander, J. (2019), “Design for additive manufacturing – a review of available design methods and software”, Rapid Prototyping Journal, Vol. 25 No. 6, pp. 1080–1094. 10.1108/RPJ-10-2018-0262CrossRefGoogle Scholar
Wohlin, C. (2014), “Guidelines for snowballing in systematic literature studies and a replication in software engineering”, In Proceedings of the 18th international conference on evaluation and assessment in software engineering, UK, ACM, New York, USA. pp. 1–10. 10.1145/2601248.2601268Google Scholar
Zhang, X.Y., Yan, X.C., Fang, G. and Liu, M. (2020), “Biomechanical influence of structural variation strategies on functionally graded scaffolds constructed with triply periodic minimal surface”, Additive Manufacturing, Vol. 32. 10.1016/j.addma.2019.101015CrossRefGoogle Scholar
Özen, A., Abali, B.E., Völlmecke, C., Gerstel, J. and Auhl, D. (2021), “Exploring the Role of Manufacturing Parameters on Microstructure and Mechanical Properties in Fused Deposition Modeling (FDM) Using PETG”, Applied Composite Materials, Springer Netherlands, No. 0123456789. 10.1007/s10443-021-09940-9Google Scholar