Abstract
Biomechanics is the development, extension, and application of mechanics for the purpose of understanding better the influence of mechanical loads on the structure, properties, and function of living things. Biomechanics focuses on design and analysis, each of which is the foundation of engineering. CT scan data is widely used to make realistic investigations on the mechanical behavior of bone structures using Finite Element Analysis (FEA). The purpose of this paper is to create anatomically accurate, 3D finite element models of the right human proximal femur for 17, 32, and 40-year-old-male patients using individual CT scan data. Thus, allowing the biomechanical analysis of the male right human proximal femur of different age groups loaded under physiologic forces at constant angle of 28°, i.e., at varying body weights of 70 and 75 kg, respectively which is shared equally by the lower limbs, that affect femur during weight bearing acting at different conditions and to determine the total deformation, equivalent Von-Mises stress distribution, maximum principal stress distribution, and fatigue tool throughout the whole femur, and comparing the results. Analysis of this model will provide data unavailable at this time to orthopedic surgeons, engineers, and researchers of human orthopedics.
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Acknowledgments
The authors would like to thank Dr. (Mrs.) Shobha Katheria, Principal Medical Officer, Ordnance Factory Hospital, Itarsi, M.P. India, Dr Rakesh Tirkey, Assistant Professor of Medical College, Jabalpur, M.P, India and Dr. Pushpraj Bhatele, for providing medical imaging data and supporting our work.
Conflict of Interest Statement
None of the authors have any conflict of interest to declare that could bias the presented work.
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Francis, A. et al. (2013). Finite Element Modeling of Human Femur Using CT Data: A Biomechanical Analysis. In: Kumar, V., Bhatele, M. (eds) Proceedings of All India Seminar on Biomedical Engineering 2012 (AISOBE 2012). Lecture Notes in Bioengineering. Springer, India. https://doi.org/10.1007/978-81-322-0970-6_8
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DOI: https://doi.org/10.1007/978-81-322-0970-6_8
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