Generative ecodesign for mechanical products: A design workflow
Harnessing advancements in artificial intelligence, generative design holds great potential to support designers in their ecodesign efforts by enabling them to explore design solutions beyond the limits of their imagination and expertise. However, a systematic literature review on the application of...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Cleaner Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666790825000138 |
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| author | Amos Wei Lun Lee Kevin Kai Wern Seah Bing Feng Ng Ee Teng Zhang Wen Feng Lu Jonathan Sze Choong Low |
| author_facet | Amos Wei Lun Lee Kevin Kai Wern Seah Bing Feng Ng Ee Teng Zhang Wen Feng Lu Jonathan Sze Choong Low |
| author_sort | Amos Wei Lun Lee |
| collection | DOAJ |
| description | Harnessing advancements in artificial intelligence, generative design holds great potential to support designers in their ecodesign efforts by enabling them to explore design solutions beyond the limits of their imagination and expertise. However, a systematic literature review on the application of generative design in ecodesign reveals a clear underrepresentation, highlighting a missed opportunity in the field. To bridge this gap, a seven-component generative ecodesign workflow for mechanical products was developed. This workflow combines generative design algorithms, typically used for geometry lightweighting, with life cycle thinking. It facilitates the generation, evaluation, and identification of design solutions by considering the design tri-factor: material choice, manufacturing process, and geometry. This represents the first reported product ecodesign tool to integrate generative design with ecodesign principles while simultaneously addressing all three elements of the design tri-factor. To showcase its utility, environmentally optimal design alternatives were created for a mountain bicycle's handlebar stem. |
| format | Article |
| id | doaj-art-08502dcecde14e2bbc82c21773cf805e |
| institution | Kabale University |
| issn | 2666-7908 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Engineering and Technology |
| spelling | doaj-art-08502dcecde14e2bbc82c21773cf805e2025-02-02T05:29:25ZengElsevierCleaner Engineering and Technology2666-79082025-02-0124100890Generative ecodesign for mechanical products: A design workflowAmos Wei Lun Lee0Kevin Kai Wern Seah1Bing Feng Ng2Ee Teng Zhang3Wen Feng Lu4Jonathan Sze Choong Low5Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore; Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A∗STAR), 3 Cleantech Loop, #01/01 CleanTech Two, Singapore, 637143, Singapore; Corresponding author. Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, SingaporeSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, SingaporeSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, SingaporeSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore; Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, SingaporeDepartment of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, SingaporeAdvanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A∗STAR), 3 Cleantech Loop, #01/01 CleanTech Two, Singapore, 637143, SingaporeHarnessing advancements in artificial intelligence, generative design holds great potential to support designers in their ecodesign efforts by enabling them to explore design solutions beyond the limits of their imagination and expertise. However, a systematic literature review on the application of generative design in ecodesign reveals a clear underrepresentation, highlighting a missed opportunity in the field. To bridge this gap, a seven-component generative ecodesign workflow for mechanical products was developed. This workflow combines generative design algorithms, typically used for geometry lightweighting, with life cycle thinking. It facilitates the generation, evaluation, and identification of design solutions by considering the design tri-factor: material choice, manufacturing process, and geometry. This represents the first reported product ecodesign tool to integrate generative design with ecodesign principles while simultaneously addressing all three elements of the design tri-factor. To showcase its utility, environmentally optimal design alternatives were created for a mountain bicycle's handlebar stem.http://www.sciencedirect.com/science/article/pii/S2666790825000138Carbon emissionGenerative designProduct designEnvironmental sustainabilityEcodesign |
| spellingShingle | Amos Wei Lun Lee Kevin Kai Wern Seah Bing Feng Ng Ee Teng Zhang Wen Feng Lu Jonathan Sze Choong Low Generative ecodesign for mechanical products: A design workflow Cleaner Engineering and Technology Carbon emission Generative design Product design Environmental sustainability Ecodesign |
| title | Generative ecodesign for mechanical products: A design workflow |
| title_full | Generative ecodesign for mechanical products: A design workflow |
| title_fullStr | Generative ecodesign for mechanical products: A design workflow |
| title_full_unstemmed | Generative ecodesign for mechanical products: A design workflow |
| title_short | Generative ecodesign for mechanical products: A design workflow |
| title_sort | generative ecodesign for mechanical products a design workflow |
| topic | Carbon emission Generative design Product design Environmental sustainability Ecodesign |
| url | http://www.sciencedirect.com/science/article/pii/S2666790825000138 |
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