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BULLETIN OF THE CHINESE CERAMIC SOCIETY ›› 2021, Vol. 40 ›› Issue (1): 55-63.

Special Issue: 水泥混凝土

• Cement and Concrete • Previous Articles     Next Articles

Modeling Method of Cement Clinker Accumulation Body Based onDynamic Neural Network

WEN Yan1, HUANG Bolin1, YUAN Lin1, LIU Haoran2, JU Yanxu1   

  1. 1. School of Mechanical Engineering,Yanshan University,Qinhuangdao 066004,China;
    2. School of InformationScience and Engineering,Yanshan University,Qinhuangdao 066004,China
  • Received:2020-08-08 Revised:2020-10-13 Online:2021-01-15 Published:2021-02-07

Abstract: The particle packing is an important issue in engineering.In order to construct the discrete element numerical model of the particle accumulation body,an experiment for collecting its structural parameters such as diameter and coordinate was designed firstly.With the cement clinker packing of the grate cooler in the background,cement clinker was used to form the accumulation body.And a series of images were collected by cutting the particle accumulation body into slices.Then a battery of treatments was carried out to obtain its structural parameters.At the same time,a prediction model was trained based on neural network in order to rebuild accumulation body model and its statistical accuracy was verified.The good precision of the model indicates that it meets the modeling requirements to a certain extent.

Key words: particle, cement clinker, accumulation body, neural network, modeling, discrete element model

CLC Number: