From biological morphogenesis to engineering joint design: A bio-inspired algorithm
Nature has developed smart strategies to morph joint contact surfaces as a response to local mechanical stimuli. Hence, it is compelling to explore the advantages of mimicking these strategies to design mechanical pieces. Researchers and engineers have developed generative design strategies mostly f...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-01-01
|
| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127522010899 |
| _version_ | 1811175483737374720 |
|---|---|
| author | Kalenia Marquez-Florez Santiago Arroyave-Tobon Jean-Marc Linares |
| author_facet | Kalenia Marquez-Florez Santiago Arroyave-Tobon Jean-Marc Linares |
| author_sort | Kalenia Marquez-Florez |
| collection | DOAJ |
| description | Nature has developed smart strategies to morph joint contact surfaces as a response to local mechanical stimuli. Hence, it is compelling to explore the advantages of mimicking these strategies to design mechanical pieces. Researchers and engineers have developed generative design strategies mostly focused on structural topological and shape optimization. However, these generative strategies are not well developed for joint contact surfaces, even though they are critical points in engineering structures and machinery. This work presents a computational tool for adaptive surface shaping in contact problems inspired by the morphogenesis of synovial joints. The algorithm follows the cartilage growth rules, in which the hydrostatic and shear octahedral stresses either promote or inhibit an isotropic expansion of the local domain. The implementation is based on the finite element method and it is freely available on GitHub. A parametric study was performed to tune the parameters of the algorithm and it was successfully tested for two elastic bodies in unilateral contact. It was evidenced that the cartilage growth rules adapted the geometry of the surfaces in such a way that the contact stresses got uniformly distributed. This study is a step forward in the scope of bio-inspired generative designs. |
| first_indexed | 2024-04-10T19:37:45Z |
| format | Article |
| id | doaj.art-83c5e5a246694966b82332ba5e334065 |
| institution | Directory Open Access Journal |
| issn | 0264-1275 |
| language | English |
| last_indexed | 2024-04-10T19:37:45Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj.art-83c5e5a246694966b82332ba5e3340652023-01-30T04:12:00ZengElsevierMaterials & Design0264-12752023-01-01225111466From biological morphogenesis to engineering joint design: A bio-inspired algorithmKalenia Marquez-Florez0Santiago Arroyave-Tobon1Jean-Marc Linares2Aix Marseille Univ, CNRS, ISM, Marseille, FranceAix Marseille Univ, CNRS, ISM, Marseille, FranceAix Marseille Univ, CNRS, ISM, Marseille, FranceNature has developed smart strategies to morph joint contact surfaces as a response to local mechanical stimuli. Hence, it is compelling to explore the advantages of mimicking these strategies to design mechanical pieces. Researchers and engineers have developed generative design strategies mostly focused on structural topological and shape optimization. However, these generative strategies are not well developed for joint contact surfaces, even though they are critical points in engineering structures and machinery. This work presents a computational tool for adaptive surface shaping in contact problems inspired by the morphogenesis of synovial joints. The algorithm follows the cartilage growth rules, in which the hydrostatic and shear octahedral stresses either promote or inhibit an isotropic expansion of the local domain. The implementation is based on the finite element method and it is freely available on GitHub. A parametric study was performed to tune the parameters of the algorithm and it was successfully tested for two elastic bodies in unilateral contact. It was evidenced that the cartilage growth rules adapted the geometry of the surfaces in such a way that the contact stresses got uniformly distributed. This study is a step forward in the scope of bio-inspired generative designs.http://www.sciencedirect.com/science/article/pii/S0264127522010899Joint morphogenesisBio-inspirationElastic contactSurface shapingDoE |
| spellingShingle | Kalenia Marquez-Florez Santiago Arroyave-Tobon Jean-Marc Linares From biological morphogenesis to engineering joint design: A bio-inspired algorithm Materials & Design Joint morphogenesis Bio-inspiration Elastic contact Surface shaping DoE |
| title | From biological morphogenesis to engineering joint design: A bio-inspired algorithm |
| title_full | From biological morphogenesis to engineering joint design: A bio-inspired algorithm |
| title_fullStr | From biological morphogenesis to engineering joint design: A bio-inspired algorithm |
| title_full_unstemmed | From biological morphogenesis to engineering joint design: A bio-inspired algorithm |
| title_short | From biological morphogenesis to engineering joint design: A bio-inspired algorithm |
| title_sort | from biological morphogenesis to engineering joint design a bio inspired algorithm |
| topic | Joint morphogenesis Bio-inspiration Elastic contact Surface shaping DoE |
| url | http://www.sciencedirect.com/science/article/pii/S0264127522010899 |
| work_keys_str_mv | AT kaleniamarquezflorez frombiologicalmorphogenesistoengineeringjointdesignabioinspiredalgorithm AT santiagoarroyavetobon frombiologicalmorphogenesistoengineeringjointdesignabioinspiredalgorithm AT jeanmarclinares frombiologicalmorphogenesistoengineeringjointdesignabioinspiredalgorithm |