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METHOD FOR THE INTEGRATION OF COMPUTER AIDED MANUFACTURING DATA IN LIFE CYCLE ASSESSMENT

Published online by Cambridge University Press:  19 June 2023

Niklas Quernheim ,
Sven Winter ,
Lars Arnemann  and
Benjamin Schleich
Niklas Quernheim*
Affiliation:
Product Life Cycle Management, TU Darmstadt
Sven Winter
Affiliation:
Product Life Cycle Management, TU Darmstadt
Lars Arnemann
Affiliation:
Product Life Cycle Management, TU Darmstadt
Benjamin Schleich
Affiliation:
Product Life Cycle Management, TU Darmstadt
*
Quernheim, Niklas, TU Darmstadt, Germany, [email protected]

Abstract

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Precise sustainability assessment becomes increasingly important in decision-making, marketing, and regulations. Therefore, reliable and comparable LCA becomes mandatory. Currently, primary data is rarely available due to vastly complex value chains. Secondary data from eco-databases provide a remedy to estimate the sustainability impacts of up- and downstream processes. While giving insights and estimations, this data is seldom fitting exactly to the own processes and lacks comparability. Therefore, this paper proposes a method to close the gap between unreliable secondary data and unavailable primary data. This gap is to be closed by the integration of simulated process data. CAM is a tool during the work preparation to assess the design's manufacturability, decrease set-up times and optimize the NC code. However, integrating DES into LCA is still subject to research and will be discussed in this paper. This paper answers the question of the necessary steps to integrate the simulated production process in an LCA to increase the quality and reliability of sustainability indicators. A method is presented, and the implementation of the steps with the help of a developed assistance system on an example is performed.

Keywords

Life Cycle AssessmentDecision makingComputer Aided ManufacturingSustainabilitySimulation
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2635 - 2644
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), 2023. Published by Cambridge University Press

References

Albrecht, S. (2021), Progress in Life Cycle Assessment 2019, Sustainable Production, Life Cycle Engineering and Management Ser, Springer International Publishing AG, Cham.Google Scholar
Andriankaja, H., Le Duigou, J. and Eynard, B. (2015), “A sustainable machining approach by integrating the environmental assessment within the cad/cam cnc chain”, http://doi.org/10.13140/RG.2.1.1180.9765.CrossRefGoogle Scholar
Apprich, T. (2015), Tabellenbuch fur Zerspantechnik, Europa-Fachbuchreihe fur Metallberufe, Verl. Europa- Lehrmittel Nourney Vollmer, Haan-Gruiten, 1. aufl., 1. dr edition.Google Scholar
ArePron (2020), “Agiles ressourceneffizientes produktionsnetzwerk (research project): Entwicklung einer trans- parenten und vergleichbaren bewertungsgrundlage als entscheidungsbasis fur den optimierten ressourcenein- satz innerhalb eines wertschopfungsnetzwerks”, Available at: https://www.arepron.com/ (accessed: November 21, 2022).Google Scholar
DIN EN ISO 14040 (2021), “Environmental management - life cycle assessment - principles and framework”, http://doi.org/10.31030/3179655.CrossRefGoogle Scholar
DIN EN ISO 14067 (2019), “Greenhouse gases - carbon footprint of products - requirements and guidelines for quantification”, http://doi.org/10.31030/2851769.CrossRefGoogle Scholar
ecoinvent Association (2022), “ecoinvent”, Available at: https://ecoinvent.org/ (accessed: November 21, 2022).Google Scholar
Gaha, R., Yannou, B. and Benamara, A. (2014), “A new eco-design approach on cad systems”, International Journal of Precision Engineering and Manufacturing, Vol. 15 No. 7, pp. 1443–1451, http://doi.org/10.1007/s12541-014-0489-4.CrossRefGoogle Scholar
Heilala, J., Vatanen, S., Tonteri, H., Montonen, J., Lind, S., Johansson, B. and Stahre, J. (2008), “Simulation- based sustainable manufacturing system design”, in: Mason, S.J. (Editor), Winter Simulation Conference, 2008, IEEE, Piscataway, NJ, pp. 1922–1930, http://doi.org/10.1109/WSC.2008.4736284.CrossRefGoogle Scholar
Huijbregts, M.A.J., Steinmann, Z.J.N., Elshout, P.M.F., Stam, G., Verones, F., Vieira, M., Zijp, M., Hollander, A. and van Zelm, R. (2017), “Recipe2016: a harmonised life cycle impact assessment method at midpoint and endpoint level”, The International Journal of Life Cycle Assessment, Vol. 22 No. 2, pp. 138–147, http://doi.org/10.1007/s11367-016-1246-y.CrossRefGoogle Scholar
Liu, Y., Syberfeldt, A. and Strand, M. (2019), “Review of simulation-based life cycle assessment in manufacturing industry”, Production & Manufacturing Research, Vol. 7 No. 1, pp. 490–502, http://doi.org/10.1080/21693277.2019.1669505. Accessed: November 8, 2022.CrossRefGoogle Scholar
Nawata, S. and Aoyama, T. (2001), “Life-cycle design system for machined parts - linkage of lci data to cad/cam data”, in: Proceedings Second International Symposium on Environmentally Conscious Design and Inverse Manufacturing, IEEE Comput. Soc, pp. 299–302, http://doi.org/10.1109/EC0DIM.2001.992369.CrossRefGoogle Scholar
Schonemann, M., Bockholt, H., Thiede, S., Kwade, A. and Herrmann, C. (2019), “Multiscale simulation approach for production systems”, The International Journal of Advanced Manufacturing Technology, Vol. 102 No. 5–8, pp. 1373–1390, http://doi.org/10.1007/s00170-018-3054-y.CrossRefGoogle Scholar
Siemens, AG (2016), “Block ui styler”, Available at: https://docs.plm.automation.siemens.com/ (accessed: November 21, 2022).Google Scholar
Thiede, S., Seow, Y., Andersson, J. and Johansson, B. (2013), “Environmental aspects in manufacturing system modelling and simulation—state of the art and research perspectives”, CIRP Journal of Manufacturing Science and Technology, Vol. 6 No. 1, pp. 78–87, http://doi.org/10.1016/jxirpj.2012.10.004.CrossRefGoogle Scholar
Zhang, H., Zhang, X.G. and Wang, Y.H. (2010), “The evaluation of resources and environment attributes of manufacturing process based on scatter degree combination evaluation method”, Applied Mechanics and Materials, Vol. 37-38, pp. 1466–1472, http://doi.org/10.4028/www.scientific.net/AMM.37-38.1466.CrossRefGoogle Scholar