View in EDS

Systematic Approach to Design Space Exploration of Pulley Supports Using Generative Design

Saved in:
Bibliographic Details
Title: Systematic Approach to Design Space Exploration of Pulley Supports Using Generative Design
Authors: Grgić, Ivan, Karakašić, Mirko, Ivandić, Željko
Source: XI INTERNATIONAL SCIENTIFIC CONGRESS INNOVATIONS 2025 - PROCEEDINGS. :81-86
Publisher Information: 2025.
Publication Year: 2025
Subject Terms: MASS REDUCTION, GENERATIVE DESIGN APPROACH (GDA), 3D PRINTING, PULLEY, TOPOLOGY OPTIMIZATION
Description: By utilising the artificial intelligence capabilities of generative design, the main task was to generate an optimal pulley support model that satisfies the initially applied conditions while reducing the overall mass and volume. The bracket fixation method presents a novel approach to pulley support assemblies. Through Static Stress and Generative Design modules, various angular load applications of 1500 N were considered, and the consequent mechanical characteristics were numerically compared and interpreted. The outcomes of the generative design process provide a firm basis for manufacturing the optimal pulley support model through casting or additive technology.
Document Type: Conference object
ISSN: 2603-3763
Accession Number: edsair.dris...01492..f86958fffeefec80e4e1775efbc15ae7
Database: OpenAIRE
Description
Abstract:By utilising the artificial intelligence capabilities of generative design, the main task was to generate an optimal pulley support model that satisfies the initially applied conditions while reducing the overall mass and volume. The bracket fixation method presents a novel approach to pulley support assemblies. Through Static Stress and Generative Design modules, various angular load applications of 1500 N were considered, and the consequent mechanical characteristics were numerically compared and interpreted. The outcomes of the generative design process provide a firm basis for manufacturing the optimal pulley support model through casting or additive technology.
ISSN:26033763