Analyzing the Profile Modification of Truck-trailer to Prune the Aerodynamic Drag and its Repercussion on Fuel Consumption

Chilbule, Chaitanya; Upadhyay, Awadhesh; Mukkamala, Yagna S

doi:10.1016/j.proeng.2014.12.399

Cited by 17 publications

(8 citation statements)

References 4 publications

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“…A computational simulation was investigated on a full-scale and model of Class-8 trucks equipped with devices of drag reduction, the obtained results were validated with experimental result and the effect of unsteady flows on the fuel reduced are also determined by Hyams et al, [25]. The trucktrailer profile modification was analysed numerically to predict the aerodynamic drag and its effect on the fuel consumption, shear stress transportation turbulence model (SST) was used, the obtained results indicate that the modification profiles can be able to reduce the aerodynamic drag around 21%, which reduces the consumption of fuel by about 4L per 100km for truck of diesel-powered [26]. The effect of cabin profiles devices on the aerodynamic drag reduction were investigated computationally and experimentally on a 1/50 th scale model of semi-trailer truck using CFD analysis and wind tunnel testes, the obtained results indicate that the truck profile modifications have significant impact on drag reduction and using all drag reduction devices at their optimized positions and dimensions can be able to reduce the drag by about 36.03 % compared to the standard heavytrucks without any modifications [27].…”

Section: Introductionmentioning

confidence: 82%

Aerodynamic Performance Enhancement of a Heavy Trucks using Experimental and Computational Investigation

Farghaly

Sarhan

AbdelGhany³

2023

CFDL

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Improving the aerodynamic performance of a heavy vehicles is one of the essential issues used in automotive industry to reduce the fuel consumption. In this work, various drag reduction devices were added to improve the vehicle profiles and the effects of each device were experimentally and computationally investigated. These additional devices are Cap of truck with different angle, Gap device with different length and Flat Flap with different angle and dimensions. 1/50th scale of a standard heavy truck were taken to construct the computational and experimental model. The drag coefficient, contours of turbulence kinetic energy, pressure, velocity, streamlines, velocity vectors were predicted with and without additional devices. The obtained results show that these attached devices have a notable impact on the aerodynamic drag reduction of the heavy vehicles and trucks. Installing all supplementary parts at the same time help to reduce the drag coefficient by about 59 % compared with the truck without any profile’s modifications. Finally, the experimental results show good agreement with the computational results with acceptable percentage error of about 5%.

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Section: Introductionmentioning

confidence: 82%

Aerodynamic Performance Enhancement of a Heavy Trucks using Experimental and Computational Investigation

Farghaly

Sarhan

AbdelGhany³

2023

CFDL

View full text Add to dashboard Cite

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“…In CFD studies the change in turbulence intensity does not change the pressure distribution on the model [8]. The aerodynamic structure of a truck trailer model was examined by the CFD method and the CD coefficient of the truck trailer model was improved by 21% by adding passive flow control components [9]. They examined the flow structure around a bus model using the CFD method.…”

Section: Introductionmentioning

confidence: 99%

Drag reduction of a bus model by passive flow canal

Bayındırlı

2019

International Journal of Energy Applications and Technologies

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In this study, the drag force of 1/33 scale bus model was improved by passive flow control method. The effect of passive air canal application to drag coefficient was experimentally and numerically investigated on a bus model. Experiments were carried out in the range of 3.8x10 5-7.9x10 5 Reynolds numbers. The similarity conditions were provided in experimental studies with the exception of the moving road. To provide the geometric similarity condition, the model bus was produced in 3D printer by scanning 3 dimensions. Reynolds number independence was used for dynamic similarity condition. The rate of blockage is 6.81% for kinematic similarity, which is lower than the rate of blockage accepted in the literature. Respectively 4.21%, 7.48% and 12.19% aerodynamic improvement achieved with 1, 3, and 5 passive air canals whose diameter 6 mm. Flow analysis was performed in Fluent® program of the model 3 bus to view the flow structure around the bus. The numerical results support to wind tunnel results. In this study the effect of obtained aerodynamic improvements by applied passive flow control method can decrease fuel consumption about 2-6% at high vehicle speeds.

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“…They improved the CD coefficient of the truck trailer model by 21% by adding passive flow control components consisting of spoiler, six vortex holders and a trailer back extension. They stated that this result would reduce the fuel consumption about 4 liters at 100 km [6]. Patil et al (2012) examined the flow structure around a bus model using the CFD method.…”

Section: Introductionmentioning

confidence: 99%

“…They stated that this was caused by reduced the negative pressure area behind the car [5]. Chilbule et al (2014) examined the aerodynamic structure of a truck trailer model by the CFD method. They improved the CD coefficient of the truck trailer model by 21% by adding passive flow control components consisting of spoiler, six vortex holders and a trailer back extension.…”

Section: Introductionmentioning

confidence: 99%

The Experimentally and Numerically Determination Of The Drag Coefficient Of A Bus Model

Bayındırlı¹,

Çelik

2018

International Journal of Automotive Engineering and Technologies

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In this study, the drag coefficient of a 1/33 scaled bus model was determined by experimentally in wind tunnel and numerically in Fluent®. The tests were performed at 6 different free flow velocities and between the range of 382 866-792 900 Reynolds numbers and 13.54m/s-28.05m/s speeds. The three similarity conditions were provided in tests. The flow analyses were conducted in 1/40 scaled wind tunnel as experimentally using Reynolds independent. The aerodynamic drag coefficient (CD) of the bus model was calculated as 0.633 in wind tunnel. The experimental results of bus model are verificated by numerical flow analysis in Fluent® program. According to numerical results, the drag coefficient of bus model is calculated as 0.645 with 1.81% error margin.

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Analyzing the Profile Modification of Truck-trailer to Prune the Aerodynamic Drag and its Repercussion on Fuel Consumption

Cited by 17 publications

References 4 publications

Aerodynamic Performance Enhancement of a Heavy Trucks using Experimental and Computational Investigation

Aerodynamic Performance Enhancement of a Heavy Trucks using Experimental and Computational Investigation

Drag reduction of a bus model by passive flow canal

The Experimentally and Numerically Determination Of The Drag Coefficient Of A Bus Model

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