топологічна оптимізація

This study explores the process of design and optimization of exoskeleton for lower extremities using methods of generative design. Due to the unique characteristics and features of the human body, every exoskeleton needs to be adjusted to the working condition of each user, but the development of individual product designs by engineers is highly expensive and takes a lot of time. The study objective is the optimization of the base model of the exoskeleton to working conditions using generative design technology.

The Combination of Convolutional Neural Networks (CNN) and Genetic Algorithms (GA) provides a promising approach for topological optimization of complex lattice structures. Lattice structures are commonly used as base in the design of high-performance metamaterials. This paper presents a review of the effectiveness and efficiency of the CNN-GA method. We will examine the ability of the method to generate optimal complex structures while minimizing material usage. CNN is utilized mainly as an analysis instrument.