COVER Bariq Badruttamam Nasution
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
BAB 1 Bariq Badruttamam Nasution
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
BAB 2 Bariq Badruttamam Nasution
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
BAB 2 Bariq Badruttamam Nasution
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
BAB 3 Bariq Badruttamam Nasution
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
BAB 4 Bariq Badruttamam Nasution
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
BAB 5 Bariq Badruttamam Nasution
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
PUSTAKA Bariq Badruttamam Nasution
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Centrifugal compressor is widely used and applied to turbomachinery for industrial
and aerospace purposes. Nowadays, compressors are demanded to have high perfor-
mance so they will produce fewer emissions or lighter engines with the same output
power or thrust. To achieve an excellent performance of the centrifugal compres-
sor, there are two important parameters that we need to notice, which are pressure
ratio and eciency. However, improving one of these parameters sometimes will
reduce the performance of the other parameter. Thus, this study will focus on
multi-objective optimization to improve the overall performance of the impeller of
the SRV2-O centrifugal compressor by deforming its impeller. Using Bayesian op-
timization and NSGA-II assisted by surrogate model, the impeller, which has been
parameterized using control point of Bezier curve, will be optimized by two and ten
variables (control point) optimization. The optimization processes have successfully
obtained several solutions called Pareto front. One solution is chosen as the opti-
mized solution, this solution improves the pressure ratio by 1.14% and eciency by
2.67%. Moreover, this design reduces the strength of the shock wave at the leading
edge and delays the
ow separation closer to the trailing edge. The sensitivity anal-
ysis is conducted to gain important knowledge about the physics of the
ow and
its relation to the input variables. Theta angle control points near the inlet are the
most responsible variables for this optimization.