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A numerical procedure was implemented for the three-dimensional shape optimization of femoral component of total hip replacements. An algorithm was developed for defining the component geometry in terms of longitudinal and cross-sectional shape variables. The three-dimensional design model was combined with a non-linear 3-D finite element analysis and a numerical optimization procedure. An idealized femoral geometry and a frictional contact were used for bone-implant interfaces. The design objective was to reduce the shear stresses and the relative motion between implant and the surrounding bone along the interface region. The general trend in all design optimization was to produce a somewhat bulky implant with a more rectangular cross section. The outcome was more strongly affected by interface condition than choice of objective function.

Considering effects of physiological factors in failure of total hip arthroplasty, a numerical procedure was implemented for the three-dimesional (3D) shape optimization of femoral component of total hip replacements on the basis of remodeling objective functions. Design variables are the shape parameters, which define the femoral component geometry. The 3D design model was incorporated with 3D finite element analysis and a numerical optimization procedure. The main optimization goal was to reduce the potential for change of the bone morphology and to keep it close to the normal condition of an intact femur, by changing the geometry of the implant. Both local and global remodeling goals were examined. The results suggest a much more slender implant than is normally used would be required to minimize the remodeling potential. The results also demonstrated that the outcomes are indeed sensitive to whether the remodeling goal is treated as local or global.

In this paper, we investigate the behavior of biological tissues (skin) coupled to a substrate (sensor) based on a numerical model taking into account the relationship between strain/stress components at the interface. Based on this study, we understand and quantify the most appropriate biomechanical factors in order to optimize sensor/biological tissue interface conditions. A micromechanical description based on a mathematical formulation has been developed to evaluate the biomechanical behavior provided by a 2D viscoelastic model of Kelvin–Voigt. The results show a spatio-temporal law of tissue motion highlighting the need for an optimized interface for reliable data transmission in the case of connected device in a dynamic movement or in the manufacturing of intelligent and reactive prosthesis device.