SHAPE OPTIMIZATION OF HIGH SPEED TRAIN TO REDUCE DRAG USING COMPUTATIONAL FLUID DYNAMICS
High-speed train has gained a lot of interest and its speed has significantly increased when compared to the conventional train. The advantage of using high-speed train is primarily about the shorter travel times and increased train transportation quality. However, the aerodynamic issue, which ha...
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| Format: | Final Project |
| Language: | Indonesia |
| Subjects: | |
| Online Access: | https://digilib.itb.ac.id/gdl/view/72820 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | High-speed train has gained a lot of interest and its speed has significantly
increased when compared to the conventional train. The advantage of
using high-speed train is primarily about the shorter travel times and increased
train transportation quality. However, the aerodynamic issue, which has a considerable
impact on the economy, ecology, safety, and comfort of high-speed
trains, has emerged as their primary technological obstacle. At high speeds, a
problem arises in the form of a large drag force. Therefore, it is necessary to
do research on the shape of the high-speed train and optimize the shape of the
train so that the resulting drag force can be reduced. The ANSYS Fluent flow
solver and adjoint solver are the tools used, and they are used consecutively
to change geometries or designs with specific objectives in order to produce a
more optimal design. The author’s goal in writing this undergraduate thesis
is to find an optimal shape that will reduce the drag of the High-speed train,
as well as exploring additional design alternatives using an adjoint solver with
a focus on reducing drag. Based on the results obtained, modifying the shape
of the train’s nose and windshield produced a drag reduction of 0.14%. The
train’s drag can be reduced even more by allowing changes to take place in all
of its zones. Specifically, rear-top section modifications to the train can reduce
drag by 35.22%. |
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