Drag Force Estimation of a Truck Trailer Model Using Artificial Neural Network
Journal Title: International Journal of Automotive Engineering and Technologies - Year 2016, Vol 5, Issue 4
Abstract
Prediction of the drag forces acting on a truck trailer with/without spoiler is carried out by using artificial neural network (ANN). ANN model data set include the experiments of spoiler positions which have zero level to trailer front corner, -2 mm, -4.5 mm, -9 mm, +4.5 mm and +9 mm and truck trailer without spoiler. The experiments were carried out in the wind tunnel in the range of the free stream velocity between 4.6 m/s and 19.3 m/s, corresponding the Re number range, 1.0×105 -5.0×105. Mean absolute percentage error (MAPE) for training, validation and testing is 2.24%, 3.75% and 4.58% in the prediction of the drag forces, respectively. Prediction performance of the developed ANN model has a very good accuracy. According to the drag coefficients results, Reynolds number independence for truck trailer model is obtained at Reynolds number between 1.97×105 and 4.89×105. For spoiler position cases, while minimum drag coefficient acting on truck trailer with spoiler is seen at – 2mm offset, maximum drag coefficient is seen at -9 mm offset.
Authors and Affiliations
Mustafa Sarıoğlu| Karadeniz Technical University, Faculty of Engineering, Mechanical Engineering Department, 61080, Trabzon, Turkey, Mehmet Seyhan| Karadeniz Technical University, Faculty of Engineering, Mechanical Engineering Department, 61080, Trabzon, Turkey, Yahya Erkan Akansu*| Ömer Halisdemir University, Faculty of Engineering, Mechanical Engineering Department , 51240, Niğde, Turkey
PERFORMANCE, EXHAUST EMISSIONS AND COMBUSTION CHARACTERISTICS OF MOHR OIL BASED BIODIESEL IN A MEDIUM GRADE LOW HEAT REJECTION DIESEL ENGINE
Experiments were carried out to evaluate the performance of a mohr oil based biodiesel (MOBD) at different operating conditions [normal temperature and pre-heated temperature] in a medium grade low heat rejection (LHR) d...
Investigations on Performance and Emissions of a Stationary DI Diesel Engine with Different Exhaust Gas Recirculation Temperatures
This paper addresses the application of Exhaust Gas Recirculation (EGR) for reduced oxides of nitrogen (NOx) emissions from naturally aspirated direct injection stationary diesel engine. Prevailing and future emission no...
Effects of varying the compression ratio on the performance of a biodiesel fuelled diesel engine
Improved thermal efficiency, reductions in fuel consumption and pollutant emissions from biodiesel fuelled diesel engines are important issues in engine research. To achieve these, rapid and better air-fuel mixing is the...
The Effect of a Homogeneous Combustion Catalyst on Diesel Consumption in South African Engines
Fuel performance catalyst (FPC) is the homogeneous combustion catalysts supplied and distributed by GreenThermo Energy Pty Ltd (GTE) in South Africa. The FPC is a ferrous picrate water butanol solution with additives. Th...
The Automotive Engine Modeling for Steady-State Condition Using FORTRAN/GT-POWER
The increasing complexity of modern engines has rendered the prototyping phase long and expensive. This is where engine modelling becomes in the recent years extremely useful and can be used as an indispensable tool when...