Modelling of centrifugal compressor impellers using adaptive neuro- fuzzy inference systems (ANFIS)

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In order to model the design parameters of centrifugal impeller it is necessary to find new method for design parameters prediction. Adaptive neuro- Fuzzy Inference System (ANFIS) was used to predict the design parameters. The geometry parameter definition system of radial impellers based on Bezier curves, a typical centrifugal impeller with an inlet and a radial outlet used in this paper comprises a series of three Bezier patches or segments. The hub and shroud blade sections are defined as distributions of camber line; Data were generated from Bezier curves equations. In this paper, is the use adaptive neuro-fuzzy inference systems (ANFIS) approach is developed a design prediction method for radial impellers, to use it as design parameters predictor of radial impeller angles. The results were compared by statistical criterion (RMSE). Considering the results, it is obvious that our proposed modeling by (ANFIS) is efficient and valid and it can be expanded for more general states.

Original languageEnglish
Pages (from-to)1011-1017
Number of pages7
JournalInternational Review of Mechanical Engineering
Volume6
Issue number5
Publication statusPublished - Jul 2012

Fingerprint

Impellers
Centrifugal compressors
Fuzzy inference
Cambers
Geometry

Keywords

  • ANFIS
  • Centrifugal compressor impeller
  • Design parameters

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

@article{78b5791d52ab4fa09feb3e006418ef7c,
title = "Modelling of centrifugal compressor impellers using adaptive neuro- fuzzy inference systems (ANFIS)",
abstract = "In order to model the design parameters of centrifugal impeller it is necessary to find new method for design parameters prediction. Adaptive neuro- Fuzzy Inference System (ANFIS) was used to predict the design parameters. The geometry parameter definition system of radial impellers based on Bezier curves, a typical centrifugal impeller with an inlet and a radial outlet used in this paper comprises a series of three Bezier patches or segments. The hub and shroud blade sections are defined as distributions of camber line; Data were generated from Bezier curves equations. In this paper, is the use adaptive neuro-fuzzy inference systems (ANFIS) approach is developed a design prediction method for radial impellers, to use it as design parameters predictor of radial impeller angles. The results were compared by statistical criterion (RMSE). Considering the results, it is obvious that our proposed modeling by (ANFIS) is efficient and valid and it can be expanded for more general states.",
keywords = "ANFIS, Centrifugal compressor impeller, Design parameters",
author = "Jawad, {Layth H.} and Shahrir Abdullah and Rozli Zulkifli and {Wan Mahmood}, {Wan Mohd Faizal}",
year = "2012",
month = "7",
language = "English",
volume = "6",
pages = "1011--1017",
journal = "International Review of Mechanical Engineering",
issn = "1970-8734",
publisher = "Praise Worthy Prize",
number = "5",

}

TY - JOUR

T1 - Modelling of centrifugal compressor impellers using adaptive neuro- fuzzy inference systems (ANFIS)

AU - Jawad, Layth H.

AU - Abdullah, Shahrir

AU - Zulkifli, Rozli

AU - Wan Mahmood, Wan Mohd Faizal

PY - 2012/7

Y1 - 2012/7

N2 - In order to model the design parameters of centrifugal impeller it is necessary to find new method for design parameters prediction. Adaptive neuro- Fuzzy Inference System (ANFIS) was used to predict the design parameters. The geometry parameter definition system of radial impellers based on Bezier curves, a typical centrifugal impeller with an inlet and a radial outlet used in this paper comprises a series of three Bezier patches or segments. The hub and shroud blade sections are defined as distributions of camber line; Data were generated from Bezier curves equations. In this paper, is the use adaptive neuro-fuzzy inference systems (ANFIS) approach is developed a design prediction method for radial impellers, to use it as design parameters predictor of radial impeller angles. The results were compared by statistical criterion (RMSE). Considering the results, it is obvious that our proposed modeling by (ANFIS) is efficient and valid and it can be expanded for more general states.

AB - In order to model the design parameters of centrifugal impeller it is necessary to find new method for design parameters prediction. Adaptive neuro- Fuzzy Inference System (ANFIS) was used to predict the design parameters. The geometry parameter definition system of radial impellers based on Bezier curves, a typical centrifugal impeller with an inlet and a radial outlet used in this paper comprises a series of three Bezier patches or segments. The hub and shroud blade sections are defined as distributions of camber line; Data were generated from Bezier curves equations. In this paper, is the use adaptive neuro-fuzzy inference systems (ANFIS) approach is developed a design prediction method for radial impellers, to use it as design parameters predictor of radial impeller angles. The results were compared by statistical criterion (RMSE). Considering the results, it is obvious that our proposed modeling by (ANFIS) is efficient and valid and it can be expanded for more general states.

KW - ANFIS

KW - Centrifugal compressor impeller

KW - Design parameters

UR - http://www.scopus.com/inward/record.url?scp=84867891994&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867891994&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84867891994

VL - 6

SP - 1011

EP - 1017

JO - International Review of Mechanical Engineering

JF - International Review of Mechanical Engineering

SN - 1970-8734

IS - 5

ER -