Akademik Veri Yönetim Sistemi
1. INTERNATIONAL MARMARA SCIENTIFIC RESEARCH AND INNOVATION CONGRESS , İstanbul, Türkiye, 21 - 22 Ağustos 2021, ss.351-357
In this paper, the optimization of the brake pedal for the Formula SAE (Society of Automotive Engineers) Electric vehicle is studied. Formula SAE competitions are one of the most important engineering competitions for university teams. University teams participate in these competitions with single-seat racing cars. Optimization is frequently performed by researchers for a component design that is both lightweight and has sufficient performance. It is desirable that the brake pedals to be used in Formula SAE Electric vehicles should be light with sufficient strength. In this optimization study, the geometric properties of the brake pedal are defined as the design variable, the weight as the objective function and the maximum stress as the constraint function. In the first step of the optimization, the sample space is created by using the Latin Hypercube sampling method. Then, surrogate models of the objective and constraint functions are created using the Radial Basis Function metamodeling method. Finally, the optimization study is carried out using the Grey Wolf Optimizer (GWO) algorithm. As a result of the optimization, a 24.82% lighter design is obtained than the original design. This study has been revealed that the optimization carried out with the GWO is effective in reducing the weight of the brake pedal.