Integration of Topology Optimization and Sizing Optimization Techniques for Advanced Orthotic Design
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This research presents an innovative approach to enhance the design and functionality of hand orthoses through a multi-material topology optimization framework. Leveraging the Bi-directional Evolutionary Structural Optimization (BESO) algorithm within the ABAQUS Finite Element Analysis (FEA) environment [1], the presented methodology involves a two-step optimization procedure. Firstly, a topology optimization considering a stiff material is conducted to achieve an optimal geometric configuration, i.e. material distribution, for the hand orthosis. Subsequently, a layer of soft material with the same initial topology as the previously optimized stiff material is optimized in terms of thickness. The integration of both stiff and soft materials aims to optimize not only the structural integrity but also the comfort and adaptability of the hand orthosis. The proposed methodology holds promise for advancing the field of orthotic design, offering personalized solutions that address both biomechanical and ergonomic considerations [2]. The Python script developed for the BESO algorithm facilitates efficient and automated optimization processes, contributing to the feasibility and scalability of the proposed approach. This research underscores the significance of combining advanced optimization techniques with finite element analysis tools to push the boundaries of orthotic design for improved patient outcomes.
