Parametric LCA model for Ti6Al4V powder production
The production of titanium (Ti6Al4V) powder is critical for aerospace, biomedical, and additive manufacturing but poses environmental challenges due to its energy intensity. Existing assessments often rely on static LCAs, offering limited optimization, or employ fragmented parametric models that do...
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| Language: | English |
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Elsevier
2025-07-01
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| Series: | Cleaner Engineering and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666790825001557 |
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| author | Christian Spreafico Baris Ördek |
| author_facet | Christian Spreafico Baris Ördek |
| author_sort | Christian Spreafico |
| collection | DOAJ |
| description | The production of titanium (Ti6Al4V) powder is critical for aerospace, biomedical, and additive manufacturing but poses environmental challenges due to its energy intensity. Existing assessments often rely on static LCAs, offering limited optimization, or employ fragmented parametric models that do not capture full system interdependencies. This study introduces a novel, comprehensive parametric Life Cycle Assessment (LCA) framework for Ti6Al4V powder production, addressing these limitations. Its core methodological innovation lies in the integration of the entire production chain (from mining to sieving) and the simultaneous optimization of technically crucial, interdependent operational parameters, specifically, TiO2 content in slag (typically 0.78–0.90), atomization electrode diameter (0.04–0.10 m), and argon pressure (often ≈5.5 MPa), rather than just parameterizing mass/energy flows as often seen in prior models. This is achieved by linking upstream process quality (e.g., slag composition impacting chlorination energy) to downstream performance and environmental impacts (e.g., atomization energy and waste generation) through empirically-derived relationships based on extensive literature data. The model minimizes environmental impact under user-defined control conditions (target powder diameter, region, impact category). Numerical investigation demonstrates significant impact reduction potential. Crucially, the model quantifies environmental trade-offs between conflicting objectives and reveals critical hotspots, with atomization and chlorination consistently accounting for >70 % of impacts even post-optimization. Energy consumption sensitivity is high, varying over five-fold for key steps based on parameter adjustments. This holistic, multi-variable optimization approach provides unprecedented, actionable insights by identifying optimal operational settings, not just sensitivities, for enhancing the sustainability of Ti6Al4V powder production, overcoming limitations of prior static or phase-specific parametric models. |
| format | Article |
| id | doaj-art-cbeb2279ada64996bfe542e4c843ae95 |
| institution | Kabale University |
| issn | 2666-7908 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Engineering and Technology |
| spelling | doaj-art-cbeb2279ada64996bfe542e4c843ae952025-08-20T03:24:47ZengElsevierCleaner Engineering and Technology2666-79082025-07-012710103210.1016/j.clet.2025.101032Parametric LCA model for Ti6Al4V powder productionChristian Spreafico0Baris Ördek1Corresponding author.; Department of Management Information and Production Engineering, University of Bergamo, Viale Marconi 5, 24044, Dalmine, Bg, ItalyDepartment of Management Information and Production Engineering, University of Bergamo, Viale Marconi 5, 24044, Dalmine, Bg, ItalyThe production of titanium (Ti6Al4V) powder is critical for aerospace, biomedical, and additive manufacturing but poses environmental challenges due to its energy intensity. Existing assessments often rely on static LCAs, offering limited optimization, or employ fragmented parametric models that do not capture full system interdependencies. This study introduces a novel, comprehensive parametric Life Cycle Assessment (LCA) framework for Ti6Al4V powder production, addressing these limitations. Its core methodological innovation lies in the integration of the entire production chain (from mining to sieving) and the simultaneous optimization of technically crucial, interdependent operational parameters, specifically, TiO2 content in slag (typically 0.78–0.90), atomization electrode diameter (0.04–0.10 m), and argon pressure (often ≈5.5 MPa), rather than just parameterizing mass/energy flows as often seen in prior models. This is achieved by linking upstream process quality (e.g., slag composition impacting chlorination energy) to downstream performance and environmental impacts (e.g., atomization energy and waste generation) through empirically-derived relationships based on extensive literature data. The model minimizes environmental impact under user-defined control conditions (target powder diameter, region, impact category). Numerical investigation demonstrates significant impact reduction potential. Crucially, the model quantifies environmental trade-offs between conflicting objectives and reveals critical hotspots, with atomization and chlorination consistently accounting for >70 % of impacts even post-optimization. Energy consumption sensitivity is high, varying over five-fold for key steps based on parameter adjustments. This holistic, multi-variable optimization approach provides unprecedented, actionable insights by identifying optimal operational settings, not just sensitivities, for enhancing the sustainability of Ti6Al4V powder production, overcoming limitations of prior static or phase-specific parametric models.http://www.sciencedirect.com/science/article/pii/S2666790825001557Constraint non-linear programmingOptimization modelParametric LCATi6Al4V powder production |
| spellingShingle | Christian Spreafico Baris Ördek Parametric LCA model for Ti6Al4V powder production Cleaner Engineering and Technology Constraint non-linear programming Optimization model Parametric LCA Ti6Al4V powder production |
| title | Parametric LCA model for Ti6Al4V powder production |
| title_full | Parametric LCA model for Ti6Al4V powder production |
| title_fullStr | Parametric LCA model for Ti6Al4V powder production |
| title_full_unstemmed | Parametric LCA model for Ti6Al4V powder production |
| title_short | Parametric LCA model for Ti6Al4V powder production |
| title_sort | parametric lca model for ti6al4v powder production |
| topic | Constraint non-linear programming Optimization model Parametric LCA Ti6Al4V powder production |
| url | http://www.sciencedirect.com/science/article/pii/S2666790825001557 |
| work_keys_str_mv | AT christianspreafico parametriclcamodelforti6al4vpowderproduction AT barisordek parametriclcamodelforti6al4vpowderproduction |