【摘要】 运用均匀设计结合BP神经网络算法,在磷酸、硅烷环境下将超细粉磨后的800目钢渣微粉进行优化改性后,部分代替炭黑同橡胶按比例复合制备高性能生态橡胶材料。建立制备工艺参数与力学性能的BP神经网络优化模型,优化设计生态橡胶的工艺参数。利用BET、FTIR、XRD和SEM对优化后的生态橡胶进行表征。结果表明,优化后生态橡胶制备工艺参数:磷酸与橡胶的质量比为0.013、硅烷K550与橡胶的质量比为0.003、促进剂与橡胶的质量比为0.007、硫磺与橡胶的质量比为0.011以及硬脂酸与橡胶的质量比为0.009。优化生态橡胶的力学性能:拉伸强度为18.6 MPa、邵尔A硬度为69.7和撕裂强度为45.6 k N/m。模型预测结果与实测结果具有较高的吻合度,误差范围为-1.59%~-0.85%。更多还原

【Abstract】 With phosphoric acid,silane K550 and steel slag were used to prepare modified porous steel slag,then eco rubber was prepared using modified porous steel slag replacing partial carbon black. BP neural network optimization model of preparation process parameters and mechanical properties were build to acquire parameter of modified eco rubber. Modified eco rubber was characterized by BET,FTIR,XRD and SEM. The results show that parameter of modified eco rubber: mass ratio of phosphoric acid and rubber is 0. 013,mass ratio of silane K550 and rubber is 0. 003,mass ratio of accelerator and rubber is0. 007,mass ratio of sulfur and rubber is 0. 011 and mass ratio of stearic acid and rubber is 0. 009.Mechanical properties of optimal environmentally friendly rubber: tensile strength is 18. 6 MPa,shore A hardness is 69. 7,tear strength is 45. 6 k N/m. The predict result and the experimental result are in good agreement( relative error is-1. 59%--0. 85%).更多还原