Beta
125111

AUTOMATED OPTIMIZATION OF CENTRIFUGAL COMPRESSORS “ECKARDT ROTOR O”

Article

Last updated: 23 Jan 2023

Subjects

-

Tags

Mechanical

Abstract

Centrifugal compressors play an important role in many industries. Improving the efficiency of centrifugal compressors and extending their range has been an important subject for both engineers and researchers working in the turbomachinery field. This paper discusses the optimization of Eckardt O impeller through changing its blade angles distribution to increase its efficiency. the optimization process is performed using an automated procedure performed within ANSYS workbench. The geometry is parameterized using ANSYS design modeler, the mesh is generated using ANSYS Turbogrid and steady flow CFD results are obtained using ANSYS CFX. Optimization by genetic algorithm is done using a surrogate model generated through a sample of designs selected through Design of experiments “DOE" sampling. The performance of the optimized and the original designs are compared both qualitatively and quantitatively, the optimized design efficiency successfully increased from 87.994 % to 88.481% based on CFD results.

DOI

10.21608/erjeng.2018.125111

Keywords

Centrifugal compressors, turbomachinery field, Eckardt O impeller, blade angles, ANSYS design modeler, “DOE” sampling

Authors

First Name

Aly

Last Name

Elzahaby

MiddleName

M.

Affiliation

Tanta

Email

-

City

-

Orcid

-

First Name

Mohamed

Last Name

Khalil

MiddleName

K.

Affiliation

Lecturer, MTC A/C Mechanical Engineering Department Cairo, Egypt

Email

-

City

-

Orcid

-

First Name

Mohammed

Last Name

AlMoghazy

MiddleName

E.

Affiliation

Teaching Assistant Mechanical Engineering Department Kafr ElSheikh, Egypt

Email

-

City

-

Orcid

-

Volume

2

Article Issue

August

Related Issue

18727

Issue Date

2018-08-01

Receive Date

2018-03-23

Publish Date

2018-08-01

Page Start

47

Page End

61

Print ISSN

2356-9441

Online ISSN

2735-4873

Link

https://erjeng.journals.ekb.eg/article_125111.html

Detail API

https://erjeng.journals.ekb.eg/service?article_code=125111

Order

5

Type

Research articles

Type Code

1,605

Publication Type

Journal

Publication Title

Journal of Engineering Research

Publication Link

https://erjeng.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

23 Jan 2023