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
Keywords
Related Articles
- EP ID EP4054
- DOI -
- Views 436
- Downloads 25
Possibility of Turkey to Transit Electric Vehicle-based Transportation
Electric vehicles (EV) are widely viewed as attractive rivals to internal combustion engines. However, to explore economic challenges of EVs is of crucial importance. This paper analyses the potential of Turkey to transi...
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...
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...
Electrostatic discharge risks in electronics used in automotive application
The automotive industry pays special attention to knowledge-based specification, design, manufacturing and qualification of components and other integrated circuits (ICs). As a result, there is the demand for ICs to be f...
Blast diffusion by different shapes of vehicle hull
In many parts of the world, the blast is a frequent occurrence case. Blast damages humans as well to the property. The physics of blast is very complicated for analysis. Hence, researcher have been studying physics of an...