Vol.14, No.2, May 2025.                                                                                                                                                                          ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

TEM Journal

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

Implementation of Generative Design Tools in the Construction Process

Peter Gabštur, Martin Pollák, Marek Kočiško, Vladimír Kotrady

© 2025 Martin Pollák, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

Citation Information: TEM Journal. Volume 14, Issue 2, Pages 983-991, ISSN 2217-8309, DOI: 10.18421/TEM142-01, May 2025.

Received:  06 September 2024.

Revised:   06 February 2025.
Accepted:  03 March 2025.
Published: 27 May 2025.

Abstract:

This paper analyses parametric and generative design as key approaches in modern industrial design. The analysis identified the main advantages of these methods, particularly their ability to optimize shape solutions, reduce material consumption, and shorten product development cycles. The methodology involved an experimental approach in which selected industrial components were designed using generative algorithms in Creo 7 and Rhino 7 with the Grasshopper add-on. The research focused on assessing the benefits of generative design in these software environments for industrial component design. Experimental results demonstrated that generative algorithms enable the creation of lighter yet sufficiently strong structures with greater flexibility compared to traditional methods. The use of generative design led to optimized geometries with reduced weight while maintaining the required mechanical properties. These findings confirm the potential of generative design to improve product development efficiency and suggest opportunities for its broader implementation in industrial practice.

Keywords – GCreo 7, Rhino 7, parametric design, generative design, industrial design

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