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SUPPORTING ADDITIVE MANUFACTURING TECHNOLOGY DEVELOPMENT THROUGH CONSTRAINT MODELLING IN EARLY CONCEPTUAL DESIGN: A SATELLITE PROPULSION CASE STUDY

Part of: Design Methods

Published online by Cambridge University Press:  11 June 2020

O. Borgue ,
F. Valjak ,
M. Panarotto  and
O. Isaksson
O. Borgue*
Affiliation:
Chalmers University of Technology, Sweden
F. Valjak
Affiliation:
University of Zagreb, Croatia
M. Panarotto
Affiliation:
Chalmers University of Technology, Sweden
O. Isaksson
Affiliation:
Chalmers University of Technology, Sweden
*
*borgue@chalmers.se

Abstract

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Function and constraints modelling are implemented to design two gridded ion thrusters for additive manufacturing (AM). One concept takes advantage of AM design freedom, disregarding AM limitations and is not feasible. The other concept considers AM limitations and is manufacturable and feasible. Constraints modelling highlights AM capabilities that can be improved, showing where future investment is needed. Constraints representation can also support the creation of technology development roadmaps able to identify areas of AM technologies that must be improved.

Keywords

additive manufacturingarchitectural designtechnology development

Information

Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 817 - 826
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), 2020. Published by Cambridge University Press

References

Aboulkhair, N.T. et al. (2019), “3D printing of Aluminium alloys: Additive Manufacturing of Aluminium alloys using selective laser melting”, Progress in Materials Science, Vol. 106, p. 100578. https://doi.org/10.1016/j.pmatsci.2019.100578Google Scholar
Audoux, K. et al. (2018), “Selection method for multiple performance sevaluation during early design stages”, Procedia CIRP, Vol. 70, pp. 204–210. https://doi.org/10.1016/j.procir.2018.03.295Google Scholar
Borgue, O. et al. (2019), “Constraint Replacement-Based Design for Additive Manufacturing of Satellite Components: Ensuring Design Manufacturability through Tailored Test Artefacts”, Aerospace, Vol. 6 No. 11, p. 124. https://doi.org/10.3390/aerospace6110124Google Scholar
Boyard, N. et al. (2013), “A design methodology for parts using additive manufacturing”, Proceedings of the 6th International Conference on Advanced Research in Virtual and Rapid Prototyping (VRAP), Leiria, Portugal, October 1-5, 2013, CRC Press, Leira, pp. 399–404. https://doi.org/10.1201/b15961-74CrossRefGoogle Scholar
Campbell, I., Bourell, D. and Gibson, I. (2012), “Additive manufacturing: rapid prototyping comes of age”, Rapid Prototyping Journal, Vol. 18 No. 4, pp. 255–258. doi: https://doi.org/10.1108/13552541211231563CrossRefGoogle Scholar
Conrow, E.H. (2011), “Estimating technology readiness level coefficients”, Journal of Spacecraft and Rockets, Vol. 48 No. 1, pp. 146–152. https://doi.org/10.2514/1.46753CrossRefGoogle Scholar
de Alcantara, D.P. and Martens, M.L. (2019), “Technology Roadmapping (TRM): a systematic review of the literature focusing on models”, Technological Forecasting and Social Change, Vol. 138, pp. 127–138. https://doi.org/10.1016/j.techfore.2018.08.014Google Scholar
Diegel, O., Nordin, A. and Motte, D. (2019), A Practical Guide to Design for Additive Manufacturing, Springer, Singapore. https://doi.org/10.1007/978-981-13-8281-9CrossRefGoogle Scholar
Gerdsri, N., Kongthon, A. and Vatananan, R.S. (2013), “Mapping the knowledge evolution and professional network in the field of technology roadmapping: a bibliometric analysis”, Technology Analysis & Strategic Management, Vol. 30 No. 4, pp. 403–422. https://doi.org/10.1080/09537325.2013.774350Google Scholar
Guo, N. et al. (2019), “3D printing of ion optics for electric propulsion”, Frontiers in Physics, Vol. 6 No. 145, pp. 1–12. https://doi.org/10.3389/fphy.2018.00145Google Scholar
Hirtz, J. et al. (2002), “A functional basis for engineering design: Reconciling and evolving previous efforts”, Research in Engineering Design, Vol. 13 No. 2, pp. 65–82. https://doi.org/10.1007/s00163-001-0008-3Google Scholar
Hopping, E.P. and Xu, K.G. (2017), “Design and Testing of a Hall Effect Thruster with 3D Printed Channel and Propellant Distributor”, 35th International Electric Propulsion Conference, p. IEPC-2017-119Google Scholar
Kindberg, P. (2017), Development of a miniature Gridded ion thruster [Master Thesis], Luleå University of Technology.Google Scholar
Lai, C., Xu, L. and Shang, J. (2019), “Optimal planning of technology roadmap under uncertainty”, Journal of the Operational Research Society, pp. 1–13. https://doi.org/10.1080/01605682.2019.1581406Google Scholar
Lu, S.C. and Liu, A. (2011), “Subjectivity and objectivity in design decisions”, CIRP annals, Vol. 60 No. 1, pp. 161–164.CrossRefGoogle Scholar
Nano Dimension (2019), Rapid prototyping of electromagnets with 3D printing. [online] Nano Dimension. Available at: https://www.nano-di.com/3d-printing-applications-for-electromagnets (accessed 25.10.2019).Google Scholar
Öhrwall Rönnbäck, A.B. and Isaksson, O. (2018), “Product development challenges for space subsystems manufacturers”, Proceedings of the DESIGN 2018 15th International Design Conference, Dubrovnik, Croatia, The Design Society, pp. 1937–1944. https://doi.org/10.21278/idc.2018.0534CrossRefGoogle Scholar
Patterson, M. et al. (2012), “Annular-geometry ion engine: Concept, development status, and preliminary performance”, 48th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, p. 3798.Google Scholar
Patterson, A. and Allison, J. (2019), “Generation and mapping of minimally-restrictive manufacturability constraints for mechanical design problems”, Proceedings of the 24th Design for Manufacturing and the Life Cycle Conference (DFMLC)—ASME IDETC/CIE, 18-21 August 2019, Anaheim, CA, USA, pp. 1–12.CrossRefGoogle Scholar
Pahl, G. et al. (2007), Engineering Design, edited by Wallace, K. and Blessing, L., Third Edit., Springer, London. https://doi.org/10.1007/978-1-84628-319-2CrossRefGoogle Scholar
Sarfaraz, M., Sauser, B.J. and Bauer, E.W. (2012), “Using System Architecture Maturity Artifacts to Improve Technology Maturity Assessment”, Procedia Computer Science, Vol. 8, pp. 165–170. https://doi.org/10.1016/j.procs.2012.01.034Google Scholar
Thompson, M.K. et al. (2016), “Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints”, CIRP Annals-Manufacturing Technology, Vol. 65 No. 2, pp. 737–760. https://doi.org/10.1016/j.cirp.2016.05.004CrossRefGoogle Scholar
Umeda, Y., Takeda, H. and Tomiyama, T. (1990), “Function, Behaviour and Structure”, Applications of artificial intelligence in engineering, Vol. V No. 1, pp. 177–194.Google Scholar
Valjak, F., Bojčetić, N. and Lukić, M. (2018), “Design for Additive Manufacturing: Mapping of Product Functions”, Proceedings of the DESIGN 2018 15th International Design Conference, 21-24 May 2018, Dubrovnik, Croatia, The Design Society, Dubrovnik, Croatia, pp. 1369–1380. http://doi.org/10.21278/idc.2018.0364CrossRefGoogle Scholar
Viola, N. et al. (2020), “Technology RoadmappIng Strategy, TRIS: methodology and tool for Technology Roadmaps for hypersonic and re-entry space transportation systems”. Acta Astronautica.CrossRefGoogle Scholar
Weilkiens, T. (2007), Systems engineering with SysML/UML: Modelling, analysis, design, Morgan Kaufmann Publishers Inc., San Francisco.Google Scholar
Williamson, R. and Beasley, J. (2011), “Automotive technology and manufacturing readiness levels: a guide to recognised stages of development within the automotive industry”, Automotive Council, URN11/672.Google Scholar