混炼胶质量预测和排胶控制的GMPLS模型研究 |
GMPLS model for mix quality prediction and dump control |
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DOI: |
中文关键词: 混炼胶 GMPLS算法 质量预测 排胶控制 |
英文关键词: mix GMPLS algorithm quality prediction dump control |
基金项目:国家自然科学基金资助项目(20206028) |
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中文摘要: |
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。 |
英文摘要: |
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. |
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