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The Process Parameters Optimization Study of Nuclear Power High-Pressure Vessel Belt Grinding Base on ANN

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Abstract:

The article established the experimental method for belt grinding process parameters of nuclear power high-pressure vessel, put forward the evaluation index and the main impact factors of material belt grinding capability for nuclear power high-pressure vessel shell surfacing layer, analyzed the influence to belt grinding capability of nuclear power high-pressure vessel with different abrasive, granularity, belt speed, grinding force, hardness of contract wheel and grooves, established and analyzed the non-liner relationship of the belt grinding capability and its influence factors for nuclear power high-pressure vessel, which based on the neural network. With the relationship established a process optimize model of efficient belt grinding which based on grinding efficiency, grinding quality, grinding cost, and the model preferably solved the multi-factor comprehensive optimization problem of nuclear power high-pressure shell surface efficient belt grinding process.C

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Periodical:

Key Engineering Materials (Volume 416)

Pages:

432-438

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.416.432

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Online since:

September 2009

Authors:

Ying Liu, Zhi Huang, Yun Huang

Keywords:

Artificial Neural Network (ANN), Belt Grinding, High-Pressure Vessel, Process Parameter

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© 2009 Trans Tech Publications Ltd. All Rights Reserved

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