#TITLE_ALTERNATIVE#
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...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/21474 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
id |
id-itb.:21474 |
---|---|
spelling |
id-itb.:214742017-10-09T10:33:27Z#TITLE_ALTERNATIVE# Amalinadhi Putra (NIM: 13613042), Cahya Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/21474 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. text |
institution |
Institut Teknologi Bandung |
building |
Institut Teknologi Bandung Library |
continent |
Asia |
country |
Indonesia Indonesia |
content_provider |
Institut Teknologi Bandung |
collection |
Digital ITB |
language |
Indonesia |
description |
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. |
format |
Final Project |
author |
Amalinadhi Putra (NIM: 13613042), Cahya |
spellingShingle |
Amalinadhi Putra (NIM: 13613042), Cahya #TITLE_ALTERNATIVE# |
author_facet |
Amalinadhi Putra (NIM: 13613042), Cahya |
author_sort |
Amalinadhi Putra (NIM: 13613042), Cahya |
title |
#TITLE_ALTERNATIVE# |
title_short |
#TITLE_ALTERNATIVE# |
title_full |
#TITLE_ALTERNATIVE# |
title_fullStr |
#TITLE_ALTERNATIVE# |
title_full_unstemmed |
#TITLE_ALTERNATIVE# |
title_sort |
#title_alternative# |
url |
https://digilib.itb.ac.id/gdl/view/21474 |
_version_ |
1821120472504336384 |