基于BP神经网络的挤出型材线径预测模型的开发及应用

doi:10.19491/j.issn.1001-9278.2019.10.010

中国塑料 ›› 2019, Vol. 33 ›› Issue (10): 54-58.DOI: 10.19491/j.issn.1001-9278.2019.10.010

基于BP神经网络的挤出型材线径预测模型的开发及应用

方胜杰,毕超

北京化工大学机电工程学院

收稿日期:2019-05-06 修回日期:2019-05-22 出版日期:2019-10-26 发布日期:2019-10-25

Development and Applications of Extrusion Profile Prediction Model Based on BP Neural Network

FANG Shengjie, BI Chao

School of Mechanical and Electrical Engineering,Beijing University of Chemical Technology,Beijing 100029,China

Received:2019-05-06 Revised:2019-05-22 Online:2019-10-26 Published:2019-10-25
Contact: BI Chao E-mail:bichao812@sohu.com

摘要/Abstract

摘要： 分析了小型单螺杆挤出机耗材生产线工艺因素与三维（3D）打印耗材线径间的相互关系，建立了一个基于反向传播（BP）神经网络的预测模型，将生产线的定径模头温度（三段）、机筒温度、螺杆转速、牵引机转速作为输入变量，耗材线径作为输出变量。结果表明，该BP神经网络预测模型能获得较精确的结果，预测模型性能较好，并基于所开发的网络模型设计开发生产线预测软件，该软件对高效地合理安排加工工艺具有一定指导意义。

关键词: 神经网络, 预测模型, 单螺杆挤出, 挤出工艺

Abstract: In this work, the relationship between the process factors of a small-scale single-screw extruder for consumable filaments and the diameter of 3D printing consumable filaments was analyzed, and then a BP neural network-based prediction model was established by setting the die temperatures of three zones, barrel temperature, screw speed and tractor speed of single-screw extruder as input variables and the filament diameter as an output variable. The more accurate results could be obtained from this BP neural network prediction model, indicating a good prediction capability. Based on the network model developed by this work, the prediction software was designed and developed for application in the production line of consumable filaments, and this software could provide a high-efficient and rational guidance for determining the processing technology.

Key words: neural network, prediction model, single screw extrusion, extrusion process

中图分类号:

方胜杰, 毕超. 基于BP神经网络的挤出型材线径预测模型的开发及应用[J]. 中国塑料, 2019, 33(10): 54-58.

FANG Shengjie, BI Chao. Development and Applications of Extrusion Profile Prediction Model Based on BP Neural Network[J]. China Plastics, 2019, 33(10): 54-58.

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基于BP神经网络的挤出型材线径预测模型的开发及应用

Development and Applications of Extrusion Profile Prediction Model Based on BP Neural Network

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