Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks

Wavelet neural network (WNN), which combines the capability of neural network in learning from process and that of wavelet decomposition, was used to study geometry factors on rotating stall in vaneless diffusers. A new error function called cross entropy squared (CSE) function was derived and put f...

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Main Authors: Chuang Gao, Chuangang Gu, Tong Wang, Bo Yang
Format: Article
Language:English
Published: Wiley 2007-01-01
Series:International Journal of Rotating Machinery
Online Access:http://dx.doi.org/10.1155/2007/76476
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author Chuang Gao
Chuangang Gu
Tong Wang
Bo Yang
author_facet Chuang Gao
Chuangang Gu
Tong Wang
Bo Yang
author_sort Chuang Gao
collection DOAJ
description Wavelet neural network (WNN), which combines the capability of neural network in learning from process and that of wavelet decomposition, was used to study geometry factors on rotating stall in vaneless diffusers. A new error function called cross entropy squared (CSE) function was derived and put forward for the purpose of convergence acceleration. WNN was trained and validated with experimental data from literature. Comparison results showed the reliability. With the trained WNN, detailed investigation was carried out mainly to understand the effects of impeller blade number, blade-exit angle, impeller rotating speed, diffuser radius ratio, and width ratio on stall inception and cell speed of vaneless diffuser. Network results clearly show the existence of distinct stall mechanisms for narrow and wide diffusers, which also make different responses to variation of the above- mentioned parameters.
format Article
id doaj-art-3749647bae9248b6ab1e198952306b91
institution Kabale University
issn 1023-621X
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language English
publishDate 2007-01-01
publisher Wiley
record_format Article
series International Journal of Rotating Machinery
spelling doaj-art-3749647bae9248b6ab1e198952306b912025-02-03T01:02:09ZengWileyInternational Journal of Rotating Machinery1023-621X1542-30342007-01-01200710.1155/2007/7647676476Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural NetworksChuang Gao0Chuangang Gu1Tong Wang2Bo Yang3Key Lab of Power Machinery and Engineering of Ministry Education, Shanghai Jiao Tong University, Shanghai 200030, ChinaKey Lab of Power Machinery and Engineering of Ministry Education, Shanghai Jiao Tong University, Shanghai 200030, ChinaKey Lab of Power Machinery and Engineering of Ministry Education, Shanghai Jiao Tong University, Shanghai 200030, ChinaKey Lab of Power Machinery and Engineering of Ministry Education, Shanghai Jiao Tong University, Shanghai 200030, ChinaWavelet neural network (WNN), which combines the capability of neural network in learning from process and that of wavelet decomposition, was used to study geometry factors on rotating stall in vaneless diffusers. A new error function called cross entropy squared (CSE) function was derived and put forward for the purpose of convergence acceleration. WNN was trained and validated with experimental data from literature. Comparison results showed the reliability. With the trained WNN, detailed investigation was carried out mainly to understand the effects of impeller blade number, blade-exit angle, impeller rotating speed, diffuser radius ratio, and width ratio on stall inception and cell speed of vaneless diffuser. Network results clearly show the existence of distinct stall mechanisms for narrow and wide diffusers, which also make different responses to variation of the above- mentioned parameters.http://dx.doi.org/10.1155/2007/76476
spellingShingle Chuang Gao
Chuangang Gu
Tong Wang
Bo Yang
Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks
International Journal of Rotating Machinery
title Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks
title_full Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks
title_fullStr Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks
title_full_unstemmed Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks
title_short Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks
title_sort analysis of geometries effects on rotating stall in vaneless diffuser with wavelet neural networks
url http://dx.doi.org/10.1155/2007/76476
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AT tongwang analysisofgeometrieseffectsonrotatingstallinvanelessdiffuserwithwaveletneuralnetworks
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