Akademik Veri Yönetim Sistemi
13th European Conference on Constitutive Models for Rubber, ECCMR 2024, İstanbul, Türkiye, 26 - 28 Haziran 2024, ss.202-208
Rapid development of industries such as aerospace, defense and automotive has made vibration control and isolation a critical issue. Electrical Vehicles (EV), in automotive industry, brings additional engineering problems for anti-vibration applications in High Frequency Range (50-2500Hz). Isolating the vibration on EV engine requires additional design and material development activities comparing with Internal Combustion Engines (ICE). For long time viscoelastic materials such as Rubber are widely in use for vibration isolation applications. In this study, high-frequency behavior of viscoelastic materials was analyzed virtually in Finite Element Analysis by using DMA and RPA test results as material inputs. Frequency dependent responses of the rubber mounts has been examined. The obtained storage and loss modulus data in frequency domain were used to simulate high frequency behaviors and modify the frequency band of isolators that resonates at high frequencies. Parametrical geometry modification has been iterated until required performance obtained. To overcome the difficulties for obtaining Storage and Loss modules at high frequencies, additional studies were conducted by using machine learning methods to increase the accuracy of FEA results. Proposed approach provides promising results to get quick responses depending on design modifications. This makes the selection of optimum viscoelastic materials quicker and provides a design method for high frequency applications.