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

摘要：

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 models precision is greater than the quadratic fitting formulaes, and artificial neural network theory can be used in the research field of carbon black/rubber composites thermophysical properties.

关键词： composites carbon black rolling resistance heat generation rate BP neural networks

作者: Zhen-zhu Yu Lian-xiang Ma

作者单位: School of Mechanical and Electrical Engineering, Qingdao University of Science and Technology, Song ling Road No.69 Qingdao, Shandong Province, 266061, P.R.China

会议类型: 国际会议

会议名称: 2009 Advanced Polymer Processing(Qingdao)Intl Forum(2009高分子材料先进制造业(青岛)国际论坛

会议地点: 青岛

会议语种:英文

页码: 369-374

在线出版日期: 2009-08-19（万方平台首次上网日期，不代表论文的发表时间）