Open AccessSolving structural design challenges with generative solutions
Author(s) -
Valentina Pomazan
Publication year - 2020
Publication title -
scientific bulletin
Language(s) - English
Resource type - Journals
eISSN - 2392-8956
pISSN - 1454-864X
DOI - 10.21279/1454-864x-20-i1-006
Subject(s) - generative design , generative grammar , workspace , fixture , conceptual design , computer science , parametric design , point (geometry) , engineering drawing , parametric statistics , engineering design process , configuration design , topology optimization , systems engineering , engineering , industrial engineering , artificial intelligence , mathematics , human–computer interaction , mechanical engineering , structural engineering , metric (unit) , operations management , statistics , geometry , finite element method , robot
Topology optimization is one of the main engineering problems, that should be addressed from the conceptual stage. An existing design is developed through traditional means and attempts to optimize it through an algorithmic postprocess, regarding various criteria. Physical systems that determine fixtures or contact in the assembly relate to design constraints, while the outcome material, optimal distributed, responds to criteria like minimal mass or maximum stiffness. The paper presents the principles and criteria used in shape design. Using a case study in Fusion 360 Generative Design workspace, the preserves and obstacles in generative design are identified at components and equipment level, along with main parametric CAD geometric definitions. The results in the generative solutions proposed for a given fixture are graphically presented and explained, also, analyzed from the manufacturing point of view.