Hostname: page-component-7bb8b95d7b-dtkg6 Total loading time: 0 Render date: 2024-09-10T06:31:07.620Z Has data issue: false hasContentIssue false
  • English
  • Français

A Lifecycle Cost-Driven System Dynamics Approach for Considering Additive Re-Manufacturing or Repair in Aero-Engine Component Design

Part of: Design Methods and Tools

Published online by Cambridge University Press:  26 July 2019

Lydia Lawand ,
Khalil Al Handawi ,
Massimo Panarotto ,
Petter Andersson ,
Ola Isaksson  and
Michael Kokkolaras
Lydia Lawand
Affiliation:
McGill University;
Khalil Al Handawi
Affiliation:
McGill University;
Massimo Panarotto
Affiliation:
Chalmers University of Technology
Petter Andersson
Affiliation:
GKN Aerospace SystemsSweden
Ola Isaksson
Affiliation:
Chalmers University of Technology
Michael Kokkolaras*
Affiliation:
McGill University; Chalmers University of Technology
*
Contact: Kokkolaras, Michael, McGill University, Mechanical Engineering, Canada, michael.kokkolaras@mcgill.ca

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.

Aero-engine component design decisions should consider re-manufacturing and/or repair strategies and their impact on lifecycle cost. Existing design approaches do not account for alternative production technologies such as the use of additive manufacturing in life extension processes. This paper presents a modeling and optimization methodology for examining the impact of design decisions in the early development stage on component lifecycle cost during the in-service phase while considering the potential use of additive manufacturing in life extension strategies. Specifically, a system dynamics model is developed to assess different end-of-life scenarios. Finally, an optimization problem is formulated and solved to minimize lifecycle cost with respect to design variables related to re-manufacturing.

Keywords

Computational design methodsAdditive ManufacturingProduct-Service Systems (PSS)
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 1343 - 1352
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) 2019

References

Adams, H. (2016), “Ion fusion formation : an alternative fastening conference & exhibition”, SAE InternationalGoogle Scholar
Al Handawi, K., Lawand, L., Andersson, P., Brommesson, R., Isaksson, O. and Kokkolaras, M. (2018), “Integrating additive manufacturing and repair strategies of aeroengine components in the computational multidisciplinary engineering design process”, NordDesign Conference, Linköping, SwedenGoogle Scholar
Angioletti, C., Sisca, F., Luglietti, R., Taisch, M., and Rocca. R. (2016), “Additive manufacturing as an opportunity for supporting sustainability through implementation of circular economies”, Industrial Systems Engineering, pp. 25–30Google Scholar
Audet, C. and Dennis, J.E Jr.. (2006), “Mesh adaptive direct search algorithms for constrained optimization”, SIAM Journal on Optimization, Vol. 17(1), pp. 188–217Google Scholar
Capehart, B. (2007), “Encyclopedia of Energy Engineering and Technology”, CRC Press, ISBN 978-0-8493-3653-9Google Scholar
Chakraborty, K., Mondal, S. and Mukherjee, K. (2017), “Analysis of product design characteristics for remanufacturing using Fuzzy AHP and Axiomatic Design ”, Journal of Engineering Design, Vol. 4828. https://doi.org/10.1080/09544828.2017.1316014Google Scholar
Chritamara, S., Ogunlana, S. and Bach, N. (2002), “System dynamics modeling of design and build construction projects”, Construction Innovation, Vol. 2, pp. 266–295. https://doi.org/10.1108/14714170210814801Google Scholar
Foundation, Ellen MacArthur (2017), www.ellenmacarthurfoundation.org, last accessed December 15 No. 2018Google Scholar
Fera, M., Friggiero, F., Costabile, G., Lambiase, A. and Pham, D. (2017), “A new mixed production cost allocation model for additive manufacturing (MiProCAMAM)”, International journal of advanced manufacturing technology, https://doi.org/10.1007/s00170-017-0492-xGoogle Scholar
Fricke, E. and Schulz, A. (2005), “Design for Changeability (DFC): Principles To Enable Changes in Systems Throughuot their Entire Lifecycle”, Systems Engineering, Vol. 8. https://doi.org/10.1002/sys.20039Google Scholar
Garmulewicz, A., Holweg, M., Veldhius, H. and Yang, A. (2018), “Disruptive technology as an enabler of the circular economy: what potential does 3D printing hold?”, California Management Review, Vol. 60, pp. 112–132. https://doi.org/10.1177/0008125617752Google Scholar
Giurco, D., Littleboy, A., Boyle, T., Fyfe, J. and White, S. (2014), “Circular economy: questions for responsible minerals, additive manufacturing and recycling of metals”, Resources, Vol. 3, pp. 432–453. https://doi.org/10.3390/resources3020432Google Scholar
Goodall, P., Rosamond, E. and Harding, J. (2014), “A review of the state of the art in tools and techniques used to evaluate remanufacturing feasibility”, Journal of Cleaner Production, Vol. 81, pp. 1–15. https://doi.org/10.1016/j.jclepro.2014.06.014Google Scholar
Gray, C. and Charter, M. (2007), Remanufacturing and Product Design, The centre for sustainable design”, UK.Google Scholar
Hollander, M., Bakker, C. and Hultink, E. (2017), “Product design in a circular economy: development of a typology of key concepts and terms”, Journal of Industrial Ecology, Vol. 21. https://doi.org/10.1111/jiec.12610Google Scholar
Kellens, K., Baumers, M., Gutowski, T., Flanagam, W., Lifset, R. and Duflou, J. (2017), “Environmental dimensions of additive manufacturing: mapping application domains and their environmental implications ”, Journal of Industrial Ecology, Vol. 21, pp. 49–68. https://doi.org/10.1111/jiec.12629Google Scholar
Kwak, M. and Kim, H. (2012), “Market positioning of remanufactured products with optimal planning for part upgrades”, Journal of Mechanical Design, Vol. 135. https://doi.org/10.1115/1.4023000Google Scholar
Lahrour, Y. and Brissaud, D. (2018), “A technical assessment of product/component re-manufacturability for additive remanufacturing”, 25th CIRP Life Cycle Engineering Conference, Vol. 69, pp. 142–147. https://doi.org/10.1016/j.procir.2017.11.105Google Scholar
Le, V., Paris, H. and Mandil, G. (2018), “Extracting features for manufacture of parts from existing components based on combining additive and subtractive technologies”, International Journal on Interactive Design and Manufacturing (IJIDeM), Vol. 12, pp. 525–536. https://doi.org/10.1007/s12008-017-0395-yGoogle Scholar
Leino, M., Pekkarinen, J. and Soukka, R. (2016), “The role of laser additive manufacturing methods of metals in repair, refurbishment and remanufacturing - enabling circular economy”, 9th International Conference on Photonic Technologies, Vol. 83, pp. 752–760. https://doi.org/10.1016/j.phpro.2016.08.077Google Scholar
Lindahl, M., Sundin, E., Ostlin, J. and Bjorkman, M. (2006), “Concepts and definitions for product recovery: analysis and clarification of the terminology used in academia and industry”, Innovation in Life Cycle Engineering and Sustainable Development, pp. 123–138, ISBN: 978-1-4020-4601-8Google Scholar
Matsumoto, M., Yang, S., Martinsen, K. and Kainuma, Y. (2016), “Trends and research challenges in remanufacturing”, International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 3, pp. 129–142. https://doi.org/10.1007/s40684-016-0016-4Google Scholar
Panarotto, M., Wall, J. and Larsson, T. (2017), “Simulation-driven design for assessing strategic decisions in the conceptual design of circular PSS business models”, Procedia CIRP, Vol. 64, pp. 25–30. https://doi.org/10.1016/j.procir.2017.03.026Google Scholar
Spickova, M. and Myskova, R. (2015), “Costs efficiency evaluation using life cycle costing as strategic method”, Procedia Economics and Finance, Vol. 34 No. 15, pp. 337–343Google Scholar
Tang, Y., Mak, K. and Zhao, Y. (2016), “A framework to reduce product environmental impact through design optimization for additive manufacturing”, Journal of Cleaner Production, Vol. 137, pp. 1560–1572. https://doi.org/10.1016/j.jclepro.2016.06.037Google Scholar
Tateno, T. and Kondoh, S. (2017), “Environmental load reduction by customization for reuse with additive manufacturing”, 24th CIRP Conference on Life Cycle Engineering, Vol. 61, pp. 241–244. https://doi.org/10.1016/j.procir.2016.11.219Google Scholar
Thierry, M., Salomon, M., Nunen, J. and Wassenhove, L. (1995), “Strategic issues in product recovery management”, California Management Review, Vol. 37 No. 2.Google Scholar
Thomsen, B., Kokkolaras, M., Mansson, T. and Isaksson, O. (2017), “Quantitative assessment of the impact of alternative manufacturing methods on aeroengine component lifing decisions”, Journal of Mechanical Design, Vol. 139, pp. 1–10. https://doi.org/10.1115/1.4034883Google Scholar
Datastream, Thomson R. (2018), “Nickel Monthly Price - US Dollars per Metric Ton”, https://www.indexmundi.com/commodities/?commodity=nickel&months=60, last accessed August 15, 2018Google Scholar
U.S. Department of Energy Office of Energy Efficiency & Renewable Energy, (2017), Average Historical Annual Gasoline Pump Price, 1929-2015, https://www.energy.gov/eere/vehicles/fact-915-march-7-2016-average-historical-annual-gasoline-pump-price-1929-2015, last accessed August 10,2018Google Scholar
Wang, L., Zhang, Z. and Chen, C. (2012), “Evaluation model for product green design based on active remanufacturing”, Applied Mechanics and Materials, Vol. 215, pp. 583–587. https://doi.org/10.4028/www.scientific.net/AMM.215-216.583Google Scholar
Zhang, D., Feng, Z., Wang, C., Liu, Z., Dong, D., Zhou, Y. and Wu, R. (2017), “Modeling of temperature field evolution during multilayered direct laser metal deposition”, Journal of Thermal Spray Technology, Vol. 26, pp. 831–845. https://doi.org/10.1007/s11666-017-0554-5Google Scholar