Affiliation:
1. Department of Automotive Engineering , Bursa Uludag Universitesi , Bursa 16000 , Türkiye
2. Department of Mechanical Engineering , Bursa Uludag Universitesi , Bursa 16059 , Türkiye
Abstract
Abstract
Composite materials have a wide range of applications in many industries due to their manufacturability, high strength values, and light filling. The sector where composite materials are mostly used is the aviation industry. Today, as a result of the development of aviation systems, drones have started to be actively used, and many studies have started to be carried out to mitigate them. In this study, the subcarrier part, which is part of the drone, was designed using glass and carbon fiber–reinforced composite materials. Using the data obtained at the end of the analysis, the stacking angle with the optimal displacement and stress value was determined by using the genetic algorithm (GA), gray wolf algorithm (GWO), and slime mold optimization (SMO) techniques in order to develop a carrier with a minimum displacement and stress value of more than 60 MPa. As a result of the optimization, it was determined that artificial intelligence algorithms could be used effectively in determining the stacking angle of composite materials, and the optimum values were determined in the slime mold algorithm.
Funder
Bursa Uludag University, Scientific Projects Unit
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science