In this bachelor’s thesis, a methodology for generative design of parts intended for additive manufacturing is presented. Due to the novelty of this design approach, the introductory chapters provide a comprehensive theoretical overview, with a focus on precisely defining the concept of generative design and distinguishing it from related methods, supported by a brief historical and algorithmic background. A dedicated chapter then addresses the production technology that has enabled the application of generative design - additive manufacturing, with emphasis on guidelines for leveraging its full potential in part design. The methodology is consolidated and demonstrated through realistic component case studies, where initial designs were redefined to achieve mechanical and functional optimization. All examples and recommended steps were carried out using Fusion 360, developed by Autodesk, which provides complete generative design capabilities under a free student license. The general steps of generative design are thoroughly illustrated on the example of a jet engine bracket, whose specifications and original solution were publicly released as part of a design optimization challenge organized by General Electric. This example highlights the fundamentals of defining and categorizing setup geometries, as well as the proper application of constraints, load cases, and design requirements, ensuring meaningful and optimized outcomes. Finally, the proposed methodology was applied to four original case studies: a bicycle stem, a personalized crutch handle, a fire extinguisher holder, and a drone housing. Each of these successfully demonstrated different ways and intents of applying generative design.
Ela Đipalo
2025
Bachelor thesis
