Prediction of centrifugal compressor performance by using adaptive neuro-fuzzy inference system (ANFIS)

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Abstract

Adaptive neuro- Fuzzy Inference System (ANFIS) was used to predict the efficiency of a small modified centrifugal compressor. Data were generated from earlier studies which were obtained from a three dimensional, steady state and turbulent flow by using a CFD analyse on aerodynamic flow field characteristics. Equations were analysed using finite volume method. The results obtained from numerical solutions were used for training and testing the (ANFIS). In this paper, is the use adaptive neuro-fuzzy inference systems (ANFIS) approach is developed a performance prediction method of centrifugal compressor, to use it as performance predictor. A comparison was performed among the ANFIS method and Computational Fluid Dynamic (CFD) code. It is observed that the ANFIS method can be used to predict the performance and gives more significant value to actual value, moreover; the computation time, memory space and effort were reduced.

Original languageEnglish
Pages (from-to)1580-1587
Number of pages8
JournalInternational Review on Modelling and Simulations
Volume5
Issue number4
Publication statusPublished - 2012

Fingerprint

Centrifugal Compressor
Adaptive Neuro-fuzzy Inference System
Centrifugal compressors
Fuzzy inference
Prediction
Computational Fluid Dynamics
Computational fluid dynamics
Predict
Finite volume method
Performance Prediction
Finite Volume Method
Turbulent Flow
Aerodynamics
Turbulent flow
Flow Field
Predictors
Flow fields
Numerical Solution
Data storage equipment
Three-dimensional

Keywords

  • ANFIS
  • Centrifugal compressor
  • CFD
  • Performance prediction

ASJC Scopus subject areas

  • Modelling and Simulation
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Chemical Engineering(all)

Cite this

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AU - Jawad, Layth H.

AU - Abdullah, Shahrir

AU - Zulkifli, Rozli

AU - Wan Mahmood, Wan Mohd Faizal

PY - 2012

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