Three-Dimensional Finite Element Analysis of Human Femur: A Comparative Study

  • Amrita Francis
  • Raji Nareliya
  • Veerendra Kumar
Conference paper
Part of the Lecture Notes in Bioengineering book series (LNBE)


Three-dimensional finite element analysis (FEA) is widely used to generate reliable subject-specific finite element (FE) model using computed tomography (CT) data that accurately predicts information about bone morphology and tissue density. FEA provides detailed information regarding displacement, stress, and strain distributions along the entire bone. CT scan data is widely used to make realistic investigations on the mechanical behavior of bone structures. The purpose of this paper is to create anatomically accurate, three-dimensional finite element models of the right human femur of three male patients of different age groups of 17, 32, and 40 years, respectively, using CT scan data, loaded by physiologic forces, i.e., half-body weight. An average body weight of 70 kg (686.7 N) is assumed for this study, which is shared equally by the lower limbs according to the hip mechanism; hence, a load of 343.35 N (half-body weight analysis of this model will provide data unavailable at this time to orthopedic surgeons, engineers, and researchers) is applied on each right human proximal femur that affects femur during weight bearing action at different angles 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 of human orthopedics.


Computed tomography Finite element analysis Human femur 



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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Copyright information

© Springer India 2013

Authors and Affiliations

  • Amrita Francis
    • 1
  • Raji Nareliya
    • 2
  • Veerendra Kumar
    • 1
  1. 1.Government Engineering CollegeJabalpurIndia
  2. 2.Hitkarni College of Engineering and TechnologyJabalpurIndia

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