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Approach to reduce the environmental impact of a CNC manufactured product in the CAD phase

Winter, Sven ; Quernheim, Niklas ; Arnemann, Lars ; Anderl, Reiner ; Schleich, Benjamin
Hrsg.: Kohl, Holger ; Seliger, Günther ; Dietrich, Franz (2023)
Approach to reduce the environmental impact of a CNC manufactured product in the CAD phase.
18th Global Conference on Sustainable Manufacturing (GCSM 2022). Berlin (05.10.2022-07.10.2022)
doi: 10.1007/978-3-031-28839-5_84
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

CO2 neutrality is an important goal for the upcoming years. It is necessary to ensure that greenhouse gases are emitted as few as possible, particularly for the development of new products. The most important decisions, with impact on the sustainability, are already made by the product designer during the virtual product development phase, such as raw material requirements, selected manufacturing process or thermal and surface treatments. Especially in the case of ablative processes (CNC), raw material has a major impact on the calculated carbon footprint of products.

In order to minimize the emissions of greenhouse gases in the virtual product development phase already, this paper presents an approach to provide assistance for the product designer regarding the ecological impact of his decisions. For this purpose, Life Cycle Assessment (LCA) methods are directly integrated into the CAD software. During the design process, the expected CO2 equivalents of the largest influencing factor - the raw material - can be displayed which is observed for most cases of metal material. In addition, the savings potential for reducing the blank volume or changing the raw material is shown and a suggestion is made.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Herausgeber: Kohl, Holger ; Seliger, Günther ; Dietrich, Franz
Autor(en): Winter, Sven ; Quernheim, Niklas ; Arnemann, Lars ; Anderl, Reiner ; Schleich, Benjamin
Art des Eintrags: Bibliographie
Titel: Approach to reduce the environmental impact of a CNC manufactured product in the CAD phase
Sprache: Englisch
Publikationsjahr: 26 April 2023
Ort: Cham
Verlag: Springer
Buchtitel: Manufacturing driving circular economy : proceedings of the 18th Global Conference on Sustainable Manufacturing, October 5-7 2022, Berlin
Reihe: Lecture Notes in Mechanical Engineering
Veranstaltungstitel: 18th Global Conference on Sustainable Manufacturing (GCSM 2022)
Veranstaltungsort: Berlin
Veranstaltungsdatum: 05.10.2022-07.10.2022
DOI: 10.1007/978-3-031-28839-5_84
URL / URN: https://link.springer.com/chapter/10.1007/978-3-031-28839-5_...
Kurzbeschreibung (Abstract):

CO2 neutrality is an important goal for the upcoming years. It is necessary to ensure that greenhouse gases are emitted as few as possible, particularly for the development of new products. The most important decisions, with impact on the sustainability, are already made by the product designer during the virtual product development phase, such as raw material requirements, selected manufacturing process or thermal and surface treatments. Especially in the case of ablative processes (CNC), raw material has a major impact on the calculated carbon footprint of products.

In order to minimize the emissions of greenhouse gases in the virtual product development phase already, this paper presents an approach to provide assistance for the product designer regarding the ecological impact of his decisions. For this purpose, Life Cycle Assessment (LCA) methods are directly integrated into the CAD software. During the design process, the expected CO2 equivalents of the largest influencing factor - the raw material - can be displayed which is observed for most cases of metal material. In addition, the savings potential for reducing the blank volume or changing the raw material is shown and a suggestion is made.

Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Fachgebiet Product Life Cycle Management (PLCM)
Hinterlegungsdatum: 02 Mai 2023 07:31
Letzte Änderung: 15 Nov 2023 10:36
PPN: 50741070X
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