چكيده به لاتين
Turbocharger is used in many engines to increase engine power and reduce fuel consumption. By compressing the air, this equipment prepares it for mixing with fuel. The rotation of the blades in different working cycles of the engine and air compression causes the noise of this equipment. This noise is the cause of annoyance for passengers and drivers of cars, industrial equipment workers and people exposed to noise in general. In this thesis, by carefully examining the articles and researches of other researchers, the idea of optimizing the geometry of the compressor inlet duct has been taken. Then, its research method has been done through serialization of two software to reduce cost, time and energy consumption. In this thesis, the inlet duct has been modeled on a compressor and optimized by using the population crowding algorithm. This work is done by coding in MATLAB software and changing the geometric parameters of the 3D model. By changing these parameters and aeroacoustic analysis, the production noise of each new geometry is obtained. This process continued until obtaining the optimal geometry and by changing the parameters defined in the code, the optimal value was obtained. Also, the achievement of this thesis is the reduction of the maximum sound pressure level by 20 decibels, which is a quarter of the noise produced by the initial geometry. Although the time to reach the result of each analysis of this thesis was more than 10 days, since the problem is offline, meaning that it does not need to be solved and the result announced on the spot, it can be ignored. This is one of the cases that can be reduced and improved by using computers and more powerful computing tools. The results of the research conducted in this thesis and the articles extracted from it can be used in the future researches to reduce the time to reach the result and energy consumption, its significant role can be seen.
