Comprehensive Generative Approach to Design Insoles
Orthopaedic insoles are necessary for correcting foot deformities and providing customized support. This paper investigates the optimization of insole design through computational methods, with a focus on generative design (GD) techniques. By integrating advanced design methods with biomechanical an...
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| Format: | Article |
| Language: | English |
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De Gruyter
2024-12-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2024-2136 |
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| author | Schneider Julia Essafi Sanae Valerga Puerta Ana Pilar Völz Diana |
| author_facet | Schneider Julia Essafi Sanae Valerga Puerta Ana Pilar Völz Diana |
| author_sort | Schneider Julia |
| collection | DOAJ |
| description | Orthopaedic insoles are necessary for correcting foot deformities and providing customized support. This paper investigates the optimization of insole design through computational methods, with a focus on generative design (GD) techniques. By integrating advanced design methods with biomechanical analysis, this study aims to develop customized insoles that effectively treat foot disorders. To adequately account for all relevant forces acting on the foot during gait, a biomechanical load model is created. In addition to vertical forces, the model includes horizontal forces (anterior-posterior and medial-lateral) that occur parallel to the walking surface. GD can optimize the insole design to distribute pressure and support areas of the foot appropriately by creating functionally graded lattice structures. The study examines the potential of GD in creating insoles and the impact of the load model on the design outcome. The design process includes dynamic pedography and gait analysis to ensure that the insoles are tailored to the patient’s individual needs. Future research challenges include incorporating horizontal forces and minimizing mass while maintaining support. The study highlights the potential of computational methods, such as GD and artificial intelligence, in optimizing the design of orthopaedic insoles to ultimately improve patient comfort and mobility. |
| format | Article |
| id | doaj-art-b1479b6cb3ae4c5a95b924e845cb93c2 |
| institution | Kabale University |
| issn | 2364-5504 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj-art-b1479b6cb3ae4c5a95b924e845cb93c22025-01-02T05:56:33ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042024-12-0110455555810.1515/cdbme-2024-2136Comprehensive Generative Approach to Design InsolesSchneider Julia0Essafi Sanae1Valerga Puerta Ana Pilar2Völz Diana3Frankfurt University of Applied Sciences, Nibelungenplatz 1,Frankfurt am Main, GermanyFrankfurt University of Applied Sciences,Frankfurt am Main, GermanyUniversidad de Cadiz,Cadiz, SpainFrankfurt University of Applied Sciences,Frankfurt am Main, GermanyOrthopaedic insoles are necessary for correcting foot deformities and providing customized support. This paper investigates the optimization of insole design through computational methods, with a focus on generative design (GD) techniques. By integrating advanced design methods with biomechanical analysis, this study aims to develop customized insoles that effectively treat foot disorders. To adequately account for all relevant forces acting on the foot during gait, a biomechanical load model is created. In addition to vertical forces, the model includes horizontal forces (anterior-posterior and medial-lateral) that occur parallel to the walking surface. GD can optimize the insole design to distribute pressure and support areas of the foot appropriately by creating functionally graded lattice structures. The study examines the potential of GD in creating insoles and the impact of the load model on the design outcome. The design process includes dynamic pedography and gait analysis to ensure that the insoles are tailored to the patient’s individual needs. Future research challenges include incorporating horizontal forces and minimizing mass while maintaining support. The study highlights the potential of computational methods, such as GD and artificial intelligence, in optimizing the design of orthopaedic insoles to ultimately improve patient comfort and mobility.https://doi.org/10.1515/cdbme-2024-2136generative designadditive manufacturingorthopaedic insolescustomized supportpressure distribution |
| spellingShingle | Schneider Julia Essafi Sanae Valerga Puerta Ana Pilar Völz Diana Comprehensive Generative Approach to Design Insoles Current Directions in Biomedical Engineering generative design additive manufacturing orthopaedic insoles customized support pressure distribution |
| title | Comprehensive Generative Approach to Design Insoles |
| title_full | Comprehensive Generative Approach to Design Insoles |
| title_fullStr | Comprehensive Generative Approach to Design Insoles |
| title_full_unstemmed | Comprehensive Generative Approach to Design Insoles |
| title_short | Comprehensive Generative Approach to Design Insoles |
| title_sort | comprehensive generative approach to design insoles |
| topic | generative design additive manufacturing orthopaedic insoles customized support pressure distribution |
| url | https://doi.org/10.1515/cdbme-2024-2136 |
| work_keys_str_mv | AT schneiderjulia comprehensivegenerativeapproachtodesigninsoles AT essafisanae comprehensivegenerativeapproachtodesigninsoles AT valergapuertaanapilar comprehensivegenerativeapproachtodesigninsoles AT volzdiana comprehensivegenerativeapproachtodesigninsoles |