The Model Reconstruction of Carbon Black/Rubber Composites’ Heat Generation Ratio Based on Levenberg-Marquardt BP Algorithm

Zhen Zhu Yu; Lian Xiang Ma

doi:10.4028/www.scientific.net/AMR.87-88.369

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 87-88The Model Reconstruction of Carbon Black/Rubber...

The Model Reconstruction of Carbon Black/Rubber Composites’ Heat Generation Ratio Based on Levenberg-Marquardt BP Algorithm

Abstract:

Different temperature, different frequency, different recipe, then heat generation ratio of carbon black/rubber composites will be different. An artificial neural network model has been developed based on the analysis of the relation between carbon black/rubber composites‘ heat generation ratio and temperature,frequency.The neural network model is compared with the quadratic fitting formulae and relative errors is analyzed. The simulation results indicated the neural network model’s precision is greater than the quadratic fitting formulae’s, and artificial neural network theory can be used in the research field of carbon black/rubber composites’ thermophysical properties.

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Periodical:

Advanced Materials Research (Volumes 87-88)

Pages:

369-374

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.87-88.369

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Online since:

December 2009

Authors:

Zhen Zhu Yu, Lian Xiang Ma

Keywords:

BP Neural Network (BPNN), Carbon Black (CB), Composite, Heat Generation Rate, Rolling Resistance

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