Generative ecodesign for mechanical products: A design workflow Article Swipe
Amos Wei Lun Lee
,
Kevin Kai Wern Seah
,
Bing Feng Ng
,
Ee Teng Zhang
,
Wen Feng Lu
,
Jonathan Sze Choong Low
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.clet.2025.100890
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.clet.2025.100890
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.clet.2025.100890
- OA Status
- gold
- Cited By
- 2
- References
- 50
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406564133Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.clet.2025.100890Digital Object Identifier
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Generative ecodesign for mechanical products: A design workflowWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-01-18Full publication date if available
- Authors
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Amos Wei Lun Lee, Kevin Kai Wern Seah, Bing Feng Ng, Ee Teng Zhang, Wen Feng Lu, Jonathan Sze Choong LowList of authors in order
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https://doi.org/10.1016/j.clet.2025.100890Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.clet.2025.100890Direct OA link when available
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Ecodesign, Workflow, Generative Design, Generative grammar, Computer science, Systems engineering, Engineering, Manufacturing engineering, Artificial intelligence, Operations management, Database, Metric (unit)Top concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.geometry. | 105 |
| abstract_inverted_index.handlebar | 145 |
| abstract_inverted_index.integrate | 115 |
| abstract_inverted_index.potential | 9 |
| abstract_inverted_index.solutions | 23, 94 |
| abstract_inverted_index.thinking. | 84 |
| abstract_inverted_index.typically | 76 |
| abstract_inverted_index.Harnessing | 0 |
| abstract_inverted_index.addressing | 123 |
| abstract_inverted_index.artificial | 3 |
| abstract_inverted_index.developed. | 69 |
| abstract_inverted_index.expertise. | 31 |
| abstract_inverted_index.generative | 5, 41, 62, 73, 116 |
| abstract_inverted_index.literature | 35 |
| abstract_inverted_index.mechanical | 66 |
| abstract_inverted_index.principles | 120 |
| abstract_inverted_index.represents | 107 |
| abstract_inverted_index.systematic | 34 |
| abstract_inverted_index.algorithms, | 75 |
| abstract_inverted_index.application | 39 |
| abstract_inverted_index.considering | 96 |
| abstract_inverted_index.evaluation, | 89 |
| abstract_inverted_index.facilitates | 86 |
| abstract_inverted_index.generation, | 88 |
| abstract_inverted_index.imagination | 29 |
| abstract_inverted_index.opportunity | 52 |
| abstract_inverted_index.tri-factor. | 130 |
| abstract_inverted_index.tri-factor: | 99 |
| abstract_inverted_index.advancements | 1 |
| abstract_inverted_index.alternatives | 138 |
| abstract_inverted_index.highlighting | 49 |
| abstract_inverted_index.intelligence, | 4 |
| abstract_inverted_index.manufacturing | 102 |
| abstract_inverted_index.identification | 91 |
| abstract_inverted_index.simultaneously | 122 |
| abstract_inverted_index.environmentally | 135 |
| abstract_inverted_index.lightweighting, | 80 |
| abstract_inverted_index.seven-component | 61 |
| abstract_inverted_index.underrepresentation, | 48 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.84211111 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |