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Reducing weight and size of a jet engine could make a big saving for the airplane industry. <br /> <br /> <br /> This could be achieved by increasing the performance of jet-engine compressor. Total pressure <br /> <br /> <br /> ratio and adiabatic efficiency w...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/21474 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Reducing weight and size of a jet engine could make a big saving for the airplane industry. <br />
<br />
<br />
This could be achieved by increasing the performance of jet-engine compressor. Total pressure <br />
<br />
<br />
ratio and adiabatic efficiency were two important parameters that decided the performance of <br />
<br />
<br />
compressor. But, there was a problem in the optimization process, which was as the total pressure <br />
<br />
<br />
ratio value increases, the value of efficiency decreases, vice versa. Hence, multi-objective <br />
<br />
<br />
optimization was needed to do the optimization of compressor performance that has opposite <br />
<br />
<br />
objective function. This thesis presented the study of multi-objective optimization of a transonic <br />
<br />
<br />
compressor, NASA Rotor 37, by deforming its blade to maximize two opposite-objectivefunction, <br />
<br />
<br />
which were total pressure ratio and efficiency, using NSGA-II assisted by surrogate <br />
<br />
<br />
model and multi-objective Expected Improvement (EI) methods to cut-off optimization timebudget. <br />
<br />
<br />
There were two optimization cases in which blades were parameterized by two and three <br />
<br />
<br />
variables. The optimization succeded to obtain several optimum solutions termed as pareto optima. <br />
<br />
<br />
Two of them were the total pressure ratio-optimum blade increasing the pressure ratio <br />
<br />
<br />
to 2.03% with 2.08% decrease in efficiency while the efficiency-optimum blade increasing the <br />
<br />
<br />
efficiency ratio to 1.39% but decrease the total pressure ratio about 2.84%. Furthermore, the <br />
<br />
<br />
optimized blades found in this study yield lower losses performance because of the movement <br />
<br />
<br />
of the separation line toward the downstream direction. Also, the optimized blade had 0.39% <br />
<br />
<br />
improvement on total pressure ratio and 0.14% improvement of efficiency. |
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