In the present era, hip joint replacement is a well-known medical issue to which the male patients are mostly prone to. There are different designs available for the hip replacement process; however, each design has its benefits as well as its limitations. This study provides the optimum design solution for the hip joint replacement by changing the dimensional parameters of the hip joint. The three geometrical parameters, ball diameter, Neck length and stem length of the hip joint, are selected for the base design. Furthermore, parameters i.e. ball material and stem material are also considered in this study to reduce the weight. The above-mentioned factors have four levels, which help to generate experimental design by using design of experiment methodology. The titanium alloy, Co–Cr-alloy, stainless steel and ultra-high molecule weight polyethylene (UHMWPE) have been selected as working material for modeling of the hip joint. The L[Formula: see text] orthogonal array is simulated in ANSYS FEM solver (Version-14.5). The FEM simulation techniques have been applied, and modeling steps are also developed. Two responses i.e. Von mises stress and body weight are selected to optimize the base design for further study. The signal-to-noise ratio analysis for stress shows that the most significant factor is ball diameter and least significant factor is neck length of the hip joint. For reducing the weight of the entire model, material of stem body is the most significant factor whereas the least significant factor is stem length.
In present paper artificial implant for hip arthroplasty is simulated using Ansys FEM software via design of experiment technique "Taguchi method". In present work three different factors are selected for simulation. All required experiments are generated using Taguchi mixed method, so each factor required finite levels. First factors is different type of load conditions which are come in due to different movement conditions, this factor has six levels. Second factor is change in design of hip implant, it has three levels and last factor is different type of materials used for manufacturing of hip implant. This factor has also three levels. In this research study mixed array is developed and total 18 experiments are considered. Signal to noise ratio analysis is performed for this study to find optimum factor and its rank. It is found out that forces act as most important factor. Force can fail hip implant. Material is another importance factor.
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