IMPLEMENTATION OF TOPOLOGY OPTIMIZATION IN 2D HIP IMPLANT USING POLYMAT

The hip joint that connects the femur to the pelvic bone will degenerate with time. Some cases require hip joint replacement surgery with prosthetic implants to restore hip joint function so that the patient will be able to return to normal activities. However, there are still many cases of patie...

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Bibliographic Details
Main Author: Senna, Muhammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/68590
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:The hip joint that connects the femur to the pelvic bone will degenerate with time. Some cases require hip joint replacement surgery with prosthetic implants to restore hip joint function so that the patient will be able to return to normal activities. However, there are still many cases of patients who needed to undergo revision surgery so that the prosthetic implant attached to the patient's hip can function properly. Therefore, the hip implant design needs to be optimized. The optimization method used in this research is topology optimization, a mathematical approach to determine the optimal material distribution by maximizing the stiffness of the object. The hip implant topology optimization uses a two-dimensional program, namely PolyMesher as the mesh generator and PolyMat as the topology optimization program with varying the force direction. Topology optimization is carried out in three variations, there are common topology optimization, topology optimization with passive regions, and topology optimization with local volume constraints. The three variations will be compared the optimal implant design will be obtained. Based on this study, the first variation (common topology optimization) is the most optimal design with a maximum stiffness reduction of 12% at 50% volume reduction. The second variation (topology optimization with passive region) reduces the maximum stiffness by 27% and the third variation (topology optimization with local volume constraints) reduces the maximum stiffness by 84%. This study also displays the results of design optimization in each direction of the force given to each variation of topology optimization.