Preprint Article Version 1 This version is not peer-reviewed

Toward Automated Controlled Vibration Characteristics Structural Design through Topology Optimization and Computer Vision for Space Mission

Version 1 : Received: 18 July 2024 / Approved: 18 July 2024 / Online: 19 July 2024 (11:51:17 CEST)

How to cite: Al Ali, M.; Shimoda, M.; Naguib, M. Toward Automated Controlled Vibration Characteristics Structural Design through Topology Optimization and Computer Vision for Space Mission. Preprints 2024, 2024071599. https://doi.org/10.20944/preprints202407.1599.v1 Al Ali, M.; Shimoda, M.; Naguib, M. Toward Automated Controlled Vibration Characteristics Structural Design through Topology Optimization and Computer Vision for Space Mission. Preprints 2024, 2024071599. https://doi.org/10.20944/preprints202407.1599.v1

Abstract

This study explores the integration of computer vision with topology optimization for additive manufacturing, with a focus on maximizing eigenfrequency in a design domain. Utilizing cus-tom-developed photogrammetry software, high-resolution images are processed to generate de-tailed 3D models, subsequently converted to STL files with precision. Adaptive meshing in COMSOL Multiphysics, controlled through a MATLAB API, ensures optimal mesh resolution. Prioritizing resource conservation in extraterrestrial environments, the original volume is reduced by 50% while preserving structural integrity. The design domain undergoes rigorous topology optimization in MATLAB, supported by COMSOL's advanced FEM simulation. The optimized design exhibits a 57% performance improvement and a 50% weight reduction, maintaining desired vibration characteristics, validating the efficacy of the modifications. Moreover, the case with an eccentric mass shows a significant 64% increase in eigenfrequency.

Keywords

additive manufacturing; computer-aided design; computer vision; topology optimization; eigen frequency

Subject

Engineering, Architecture, Building and Construction

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