Sustainability Meets AI: The Potential of Coupling Advanced Materials Science with Life Cycle Assessment for Industry Commons
The transformation of the aeronautical industry towards sustainable and cost-effective manufacturing is essential for enhancing aircraft performance while reducing environmental impacts and production costs. This study integrates Life Cycle Assessment (LCA), Life Cycle Costing (LCC), and machine lea...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/90/1/92 |
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| author | Panagiotis Kolozis Michalis Galatoulas Anastasia Gkika Elias Koumoulos |
| author_facet | Panagiotis Kolozis Michalis Galatoulas Anastasia Gkika Elias Koumoulos |
| author_sort | Panagiotis Kolozis |
| collection | DOAJ |
| description | The transformation of the aeronautical industry towards sustainable and cost-effective manufacturing is essential for enhancing aircraft performance while reducing environmental impacts and production costs. This study integrates Life Cycle Assessment (LCA), Life Cycle Costing (LCC), and machine learning to enhance sustainable design in aeronautics. A Multi-disciplinary Optimization (MDO) approach was applied to a composite airframe panel, revealing that increased panel mass elevates the impacts of Climate Change (CC) and Resource Use (fossils), largely due to carbon fiber and energy-intensive manufacturing. A Random Forest model predicted LCA/LCC outcomes, facilitating real-time, sustainability-driven decisions. Optimization reduced environmental impacts by 15%. Recommendations include bio-based composites and renewable energy use to further lower environmental costs. |
| format | Article |
| id | doaj-art-5e5bf8b5df1b4c2dba4aa3fdb339ba86 |
| institution | Matheson Library |
| issn | 2673-4591 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-5e5bf8b5df1b4c2dba4aa3fdb339ba862025-06-25T13:47:49ZengMDPI AGEngineering Proceedings2673-45912025-04-019019210.3390/engproc2025090092Sustainability Meets AI: The Potential of Coupling Advanced Materials Science with Life Cycle Assessment for Industry CommonsPanagiotis Kolozis0Michalis Galatoulas1Anastasia Gkika2Elias Koumoulos3Ires-Innovation in Research and Engineering Solutions Snc, Silversquare Europe, Square de Meeûs 35, 1000 Brussels, BelgiumIres-Innovation in Research and Engineering Solutions Snc, Silversquare Europe, Square de Meeûs 35, 1000 Brussels, BelgiumIres-Innovation in Research and Engineering Solutions Snc, Silversquare Europe, Square de Meeûs 35, 1000 Brussels, BelgiumIres-Innovation in Research and Engineering Solutions Snc, Silversquare Europe, Square de Meeûs 35, 1000 Brussels, BelgiumThe transformation of the aeronautical industry towards sustainable and cost-effective manufacturing is essential for enhancing aircraft performance while reducing environmental impacts and production costs. This study integrates Life Cycle Assessment (LCA), Life Cycle Costing (LCC), and machine learning to enhance sustainable design in aeronautics. A Multi-disciplinary Optimization (MDO) approach was applied to a composite airframe panel, revealing that increased panel mass elevates the impacts of Climate Change (CC) and Resource Use (fossils), largely due to carbon fiber and energy-intensive manufacturing. A Random Forest model predicted LCA/LCC outcomes, facilitating real-time, sustainability-driven decisions. Optimization reduced environmental impacts by 15%. Recommendations include bio-based composites and renewable energy use to further lower environmental costs.https://www.mdpi.com/2673-4591/90/1/92life cycle assessmentlife cycle costcomposite airframe partsmachine learning |
| spellingShingle | Panagiotis Kolozis Michalis Galatoulas Anastasia Gkika Elias Koumoulos Sustainability Meets AI: The Potential of Coupling Advanced Materials Science with Life Cycle Assessment for Industry Commons Engineering Proceedings life cycle assessment life cycle cost composite airframe parts machine learning |
| title | Sustainability Meets AI: The Potential of Coupling Advanced Materials Science with Life Cycle Assessment for Industry Commons |
| title_full | Sustainability Meets AI: The Potential of Coupling Advanced Materials Science with Life Cycle Assessment for Industry Commons |
| title_fullStr | Sustainability Meets AI: The Potential of Coupling Advanced Materials Science with Life Cycle Assessment for Industry Commons |
| title_full_unstemmed | Sustainability Meets AI: The Potential of Coupling Advanced Materials Science with Life Cycle Assessment for Industry Commons |
| title_short | Sustainability Meets AI: The Potential of Coupling Advanced Materials Science with Life Cycle Assessment for Industry Commons |
| title_sort | sustainability meets ai the potential of coupling advanced materials science with life cycle assessment for industry commons |
| topic | life cycle assessment life cycle cost composite airframe parts machine learning |
| url | https://www.mdpi.com/2673-4591/90/1/92 |
| work_keys_str_mv | AT panagiotiskolozis sustainabilitymeetsaithepotentialofcouplingadvancedmaterialssciencewithlifecycleassessmentforindustrycommons AT michalisgalatoulas sustainabilitymeetsaithepotentialofcouplingadvancedmaterialssciencewithlifecycleassessmentforindustrycommons AT anastasiagkika sustainabilitymeetsaithepotentialofcouplingadvancedmaterialssciencewithlifecycleassessmentforindustrycommons AT eliaskoumoulos sustainabilitymeetsaithepotentialofcouplingadvancedmaterialssciencewithlifecycleassessmentforindustrycommons |