Open AccessWeight Reduction of a Drone Using Generative Design
Author(s) -
Bálint Leon Seregi,
Péter Ficzere
Publication year - 2021
Publication title -
hungarian journal of industry and chemistry/hungarian journal of industrial chemistry
Language(s) - English
Resource type - Journals
eISSN - 2450-5102
pISSN - 0133-0276
DOI - 10.33927/hjic-2021-16
Subject(s) - drone , frame (networking) , generative grammar , reduction (mathematics) , computer science , adaptation (eye) , artificial intelligence , generative model , battery (electricity) , generative design , industrial engineering , engineering , mathematics , operations management , psychology , telecommunications , metric (unit) , power (physics) , genetics , geometry , physics , quantum mechanics , neuroscience , biology
Generative design has the potential to be optimized with different parameters using a design method based on artificial intelligence and by defining the design problem. The use of this method on a drone frame is presented with explanations of the various design phases. The goal of the optimisation was to be able to fit a battery with a larger capacity onto the Unmanned Aerial Vehicle and compensate for its increased weight by reducing the weight of the drone frame using a generative algorithm. As the production possibilities were limited, adaptation to the selected manufacturing technology was also taken into account during the optimization.