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  • Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
  • Cilt: 13 Sayı: 4
  • Experimental Investigation and ANN-Based Modelling of an Emergency Valve Dynamics Used in Heavy Vehi...

Experimental Investigation and ANN-Based Modelling of an Emergency Valve Dynamics Used in Heavy Vehicle Brake Systems

Authors : İhsan Çetin, Muhammed Arif Şen
Pages : 1791-1805
Doi:10.29109/gujsc.1825420
View : 66 | Download : 55
Publication Date : 2025-12-31
Article Type : Research Paper
Abstract :Since the emergency valve is a pneumatic brake valve used in heavy vehicles to perform sudden braking of trailers manually or semi-automatically, its dynamic performance and response time are of critical importance. In this study, relevant literature and comprehensive industrial applications were thoroughly reviewed, and the parameters which are expected to affect the braking time were investigated. The safety spring coefficient, check valve spring coefficient, and hose diameter were determined as system input parameters. Using experimental design methods, the effects of system parameters on braking response time were investigated, and a full factorial experimental design was developed. An experimental setup was created to measure the braking response time of the system, and comprehensive experimental studies were conducted. A mathematical model of the braking response time was derived through regression analysis of the obtained experimental data. To improve the system\\\'s modelling performance, studies were performed on the artificial neural network-based modelling of the experimental data. Modelling studies were carried out to train the experimental data set by determining different neuron numbers, learning algorithms, and training-test-validation percentages, and a higher accuracy model with fewer error values was investigated. The performance of the obtained mathematical and artificial neural network models in predicting the valve response time depending on the input parameters was comparatively examined, and numerical results were presented. The experimental and modelling studies have shown that the ANN model can provide more successful prediction performance compared to the mathematical model.
Keywords : Acil Durum Valfi, Frenleme Tepki Süresi, Havalı Fren Sistemi, Matematiksel Modelleme, Yapay Sinir Ağı

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