摘要
针对混炼胶密炼工艺特性,提出广义多路部分最小二乘(GMPLS)算法,建立混炼胶门尼粘度预测和排胶控制模型,克服了普通最小二乘算法在间歇生产质量控制建模中的局限性。试验结果表明,该模型预测混炼胶质量效果良好,并可根据工艺要求在线调整排胶工艺参数,实现智能排胶控制,提高混炼胶质量。
A model for the Mooney viscosity prediction of mix and the dump control was established based on the general multi-way PLS（GMPLS） algorithm to eliminate the limitation of the model for quality control in batch production based on conventional PLS algorithm. The results showed that the model could be used to accurately predict the mix quality and adjust the dump parameters on line according to processing requirement in order to realize intelligent dump control and improve mix quality.
出处
《橡胶工业》
CAS
北大核心
2006年第1期36-40,共5页
China Rubber Industry
基金
国家自然科学基金资助项目(20206028)
