SHAPE OPTIMIZATION OF HIGH SPEED TRAIN TO REDUCE DRAG USING COMPUTATIONAL FLUID DYNAMICS

• Main Author: Satria Yahyadi, Arthur
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/72820
• Institution: Institut Teknologi Bandung

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%.