On-Line Prediction Model of Ultrasonic Polishing Surface Roughness

Ming Zhang; X.Q. Yang; Bo Zhao

doi:10.4028/www.scientific.net/KEM.455.539

Paper Titles

Study on Drilling Force of Pore for Hard-to-Cut Material
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Microscope Measurement of Jet-Pan Based on CCD
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Mathematical Model of Hot-Roll On-Line Grinding Detecting System
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Exploration into the Innovative Mode of Combining Learning with Researching and Production
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On-Line Prediction Model of Ultrasonic Polishing Surface Roughness
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Analysis on Forming Characteristics of Cup-Shaped Thin-Walled Inner Gear Spinning
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A Study on Chip Breakage in Mini-Pore Vibration Drilling for Hard-to-Cut Material of Austenitic Stainless Steel
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Intelligent Design of a Mechanical Part Library in Real-Time Collaborative Design
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Fault Diagnosis of Rotating Machinery Base on Wavelet Packet Energy Moment and HMM
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 455On-Line Prediction Model of Ultrasonic Polishing...

On-Line Prediction Model of Ultrasonic Polishing Surface Roughness

Abstract:

In order to solve the difficulty of on-line measuring the surface roughness of workpiece under ultrasonic polishing, the artificial neural networks and fuzzy logic systems are introduced into the on-line prediction model of surface roughness. The surface roughness identification method based on fuzzy-neural networks is put forward and used to the process of plane polishing. In the end, the on-line prediction model of surface roughness is established. The actual ultrasonic polishing experiments show that the accuracy of this prediction model is up to 96.58%, which further evidence the feasibility of the on-line prediction model.

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Periodical:

Key Engineering Materials (Volume 455)

Pages:

539-543

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.455.539

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Online since:

December 2010

Authors:

Ming Zhang, X.Q. Yang, Bo Zhao

Keywords:

Prediction Model, Surface Roughness (SR), Ultrasonic Polishing

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