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TECHNICAL PAPERS

Steady State Hydraulic Valve Fluid Field Estimator Based on Non-Dimensional Artificial Neural Network (NDANN)

[+] Author and Article Information
M. Cao, K. W. Wang, L. DeVries

Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA 16802

Y. Fujii, W. E. Tobler, G. M. Pietron, T. Tibbles, J. McCallum

Research and Advanced Engineering, Ford Motor Company, Dearborn, MI 48121

J. Comput. Inf. Sci. Eng 4(3), 257-270 (Sep 07, 2004) (14 pages) doi:10.1115/1.1765119 History: Received September 01, 2003; Revised April 01, 2004; Online September 07, 2004
Copyright © 2004 by ASME
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References

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Figures

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Schematic of the Hydraulic Valve Testing Stand
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ab. Hydraulic Valve Testing Stand
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Neural Network Growth: Error vs. Number of Hidden Layer Neurons
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Network Trimming: Non-dimensional Shank Length
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Network Trimming: Non-dimensional Land Diameter
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Network Training: before and after the trimming
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The Resultant NDANN Fluid Force Estimator after the Growth and Trimming
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ab. Training of the NDANN Fluid Force Estimator: Ds=6.0 mm,Dl=12.0 mm,Ls=28.0 mm,lp=8.2 mm,db=4.0 mm, Small Valve Opening: xv∼0.00005 m, Inverse Flow
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al. Training of the NDANN Fluid Force Estimator: Ds=5.0 mm,Dl=8.0 mm,Ls=20 mm,lp=4.2 mm,db=4.0 mm
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ab. Testing of the NDANN Fluid Force Estimator for Small Valve Opening: Ds=6.0 mm,Dl=18.0 mm,Ls=44 mm,lp=8.2 mm,db=9.5 mm
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ab. Testing of the NDANN Fluid Force Estimator for Large Valve Opening (xv∼0.004 m):Ds=6.0 mm,Dl=18.0 mm,Ls=44 mm,lp=8.2 mm,db=9.5 mm
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al. Testing of the NDANN Flow Rate Estimator: Ds=6.0 mm,Dl=18.0 mm,Ls=44 mm,lp=8.2 mm,db=9.5 mm
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Land Diameter Dependence of the Fluid Force: Experimental Results, Ds=5.0 mm
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Land Diameter Dependence of the Fluid Force: NDANN Predictions, Ds=5.0 mm

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