Property Prediction of Aged Copper Alloys Based on Artificial Neural Network

Liu Peidong; Liu Ping; Su Juanhua; Kang Buxi

doi:10.19515/j.cnki.1003-1545.2003.06.005

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Volume 18 Issue 6

Jun. 2024

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Development and Application of Materials > 2003 > 18(6): 17-20. > DOI: 10.19515/j.cnki.1003-1545.2003.06.005

Liu Peidong, Liu Ping, Su Juanhua, Kang Buxi. Property Prediction of Aged Copper Alloys Based on Artificial Neural Network[J]. Development and Application of Materials, 2003, 18(6): 17-20. DOI: 10.19515/j.cnki.1003-1545.2003.06.005

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Property Prediction of Aged Copper Alloys Based on Artificial Neural Network

Material Science and Engineering College, Henan University of Science and Technology, Luoyang 471003, China

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Received Date: January 07, 2003
Available Online: June 16, 2024

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Abstract

A prediction model for aging properties of copper alloys(Cu-0.30Cr-0.15Zr) based on BP artificial neural net is developed and the non-linear relationship between alloys hardness, alloys conductivity and aging time, aging temperature is established. Hardness and conductivity performances of copper alloys can be predicted by means of the trained neural net from the aging data. The results show that the model is suitable for the property prediction of aged copper alloys.
- Aging,
- Neural network,
- Hardness,
- Conductivity,
- Copper alloys

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