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振动筛物料温度的影响因素探究及基于PSO-BP神经网络的智能预测技术

Investigation of Factors Affecting Vibratory Screening Material Temperatures and the Intelligent Prediction Technology Based on PSO-BP Neural Networks

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【作者】 余兴兴于文灏任济夫封安俊张景怡李建军

【Author】 YU Xingxing;YU Wenhao;REN Jifu;FENG Anjun;ZHANG Jingyi;LI Jianjun;National Engineering Laboratory of Plastics Modification and Processing, Kingfa Sci & Tech Co.,Ltd.;Jiangsu Kingfa Sci & Tech Material Co.,Ltd.;

【通讯作者】 李建军;

【机构】 金发科技股份有限公司,塑料改性与加工国家工程实验室江苏金发科技新材料有限公司

【摘要】 在丙烯腈-丁二烯-苯乙烯(ABS)复合材料的挤出造粒生产过程中,振动筛物料温度是关键工艺控制点之一,过高或过低的料温均会导致相应的生产端、应用端异常。但振动筛物料温度的影响因素众多且彼此间相互影响,难以量化,故目前料温的调控主要依赖于现场经验,没有规范化、数字化的流程及标准。针对该问题,本研究通过控制变量法系统探究喂料速率、过水长度、切粒机牵引速率、模头孔数、挤出机温区设置及螺杆组合六大工艺参数对振动筛物料温度的影响规律。在此基础上,构建基于粒子群优化反向传播(PSO-BP)的神经网络预测模型,实现对振动筛物料温度的初步预测。根据实验结果,量化了核心工艺参数与振动筛物料温度的相关度,为料温的调控提供了理论支持。同时,所建PSO-BP模型预测误差控制在±3℃内,可为ABS复合材料挤出造粒的料温数字化管控提供理论依据与技术支撑。

【Abstract】 In the extrusion granulation production process of acrylonitrile-butadiene-styrene(ABS)composite materials, the material temperature of the vibrating screen is one of the key process control points.An excessively high or low material temperature will lead to abnormal production and application at the corresponding ends.However, the influencing factors of the material temperature of the vibrating screen are numerous and mutually influence each other, making it difficult to quantify.Therefore, currently, the regulation of the material temperature mainly relies on the on-site experience, without standardized and digitalized processes and standards.To address this issue, the influence laws of six process parameters(the feeding rate, water passage length, pelletizer traction rate, die hole number, extruder temperature zone setting, and screw combination)on the material temperature of the vibrating screen were systematically explored using the control variable method.On this basis, a neural network prediction model based on particle swarm optimization backpropagation(PSO-BP)was constructed to achieve the preliminary prediction of the material temperature of the vibrating screen.Based on the experimental results, the correlations between the core process parameters and the material temperature of the vibrating screen were quantified, providing theoretical supports for the regulation of the material temperature.At the same time, the results show that the prediction error of the established PSO-BP model is controlled within ±3 ℃,providing theoretical basis and technical supports for the digital control of the material temperature of ABS composite material extrusion granulation.

  • 【文献出处】 塑料工业 ,China Plastics Industry , 编辑部邮箱 ,2026年02期
  • 【分类号】TB33;TQ322
  • 【下载频次】21
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