中文摘要：

通过对开炼机塑炼过程的效率和能耗分析,构建了塑炼过程门尼黏度目标函数和碳排放目标函数。考虑塑炼过程中开炼机性能和塑炼参数的实际约束条件,建立以辊筒线速度、辊筒间距和辊筒速比为优化变量,以最小门尼黏度和最低碳排放为目标的多目标模型和量纲一单目标模型。应用改进遗传算法对优化模型进行寻优求解。通过具体实例验证了所建多目标优化模型的有效性和量纲一单目标模型的准确性,并对优化结果和优化变量的灵敏度进行了分析。

英文摘要：

Through the analyses of the efficiency and energy consumption of the mastication processes of an open mill,the Mooney viscosity objective function and carbon emissions objective function were established.Considering the actual constraints in the processes of open mill performance and mastication parameters,a multi-objective optimization model and a dimensionless single objective model were established,which took the open mill linear speed of roller,roller spacing and roller ratio as the variables,the minimum Mooney viscosity and the lowest carbon emission as the optimization objectives.An improved genetic algorithm was used to solve the optimization model.An experimental case was performed to verify the effectiveness and accuracy of the optimization model,and the mastication parameter optimization results and the sensitivity of optimization variables were analyzed.