UDC 621 AXIAL LOADING OF FEMUR BONE USING FINITE ELEMENT METHOD © Akshay Bhardwaj Department of Mechanical Engineering, Graphic Era University, Dehradun, India Arpan Gupta Department of Mechanical Engineering, Graphic Era University, Dehradun, India Kwong Ming Tse Department of Mechanical Engineering, National University of Singapore, Singapore Abstract. <...> Femur bone is one of the most commonly fractured bones in human body, especially for the elderly. <...> In this paper, stress analysis of femur bone is studied by the help of finite element simulation to provide more insight in designing bio-aided equipment or protective sports equipment. <...> The stress analysis show that the Von Mises stress reaches up to 46.82 MPa. <...> The Von Mises stress must be less than the yield stress of the material; otherwise it could lead to fracture of the bone. <...> I. INTRODUCTION The finite element method is an advanced computational technique [1] for structural stress analysis. <...> The finite element method was developed initially for engineering mechanics and later on it was applied to various other areas. <...> T his method was introduced to orthopedic biomechanics in 1972, to evaluate stresses in human bones [1]. <...> Since then this method has been applied with increasing frequency for stress analyses of bones and bone-prosthesis structures, fracture fixation devices and various kind of tissues other than bone. <...> The femur bone is the longest and the largest bone found in the human body. <...> Femur bone of human body, which takes the largest percentage of the body weight, is one of the most commonly fracture bones in human body. <...> Hence, extra care and special consideration are required when designing bio-aided equipment to avoid fracture of femur bone. <...> Anatomy of Femur bone dicted fracture location in the proximal femur using finite element models [12]. <...> Their study evaluated the ability of automatically generated, CT scan based linear FE models of the proximal femur to predict fracture location and fracture type. <...> For the stance condition the predicted and actual fracture locations agreed in 13 out of the 18 cases (72% agreement). <...> For the fall condition the predicted and actual fracture <...>