Abhishek Rajput, Abhisek Gupta, Bagathi Prem, Somnath Bose, Santanu Kumar Karmakar, Amit Roy Chowdhury
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引用次数: 0
Abstract
In bone tissue engineering (BTE), suitable mechanical stimulation is required to support cellular activities during bone regeneration. Now, the implanted BTE scaffolds keep deforming and are subjected to physiological loading, which influences the fluid flow within the scaffold and surrounding tissue. Hence, understanding the mechanobiological changes of a bone cell seeded on the deformed scaffold needs to be specially focused. Therefore, twisted and non-twisted face-centered cubic scaffolds were modeled for identifying the changes in cellular mechanical stimulation at different locations of a scaffold. At first, a global computational fluid dynamics (CFD) study was conducted to predict the permeability and fluid shear stress (FSS) of the scaffold; further CFD-induced pressure data was applied to the sub-scaffold finite element model to predict the mechanical responses of osteoblasts placed in different positions of the twisted and non-twisted scaffolds. The results indicated a decline in permeability as twist angles increased. While mechanobiological stimulation within the scaffold improved up to a certain twist angle, exceeding this threshold may reduce the effectiveness of mechanical stimulation. These findings could help determine the influence of twisting, identify the optimal twist angle, and also guide the selection of ideal areas for cell placement within the scaffold to enhance bone regeneration.
期刊介绍:
All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.