SUN Guangtong1, HUANG Youliang1, YI Chuijie1, ZHAN Sheng1, JI Huimin2
(1. School of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China;2. School of Mechanical and Automotive Engineering, Qingdao Institute of Technology, Qingdao 266520，China)
Abstract:In order to realize the self-adaptive centrifugal granulation adaptive regulation control of blast furnace slag, the blast furnace granulation centrifugal granulation adaptive control system used machine vision and image processing technology to realize on-line detection of slag particle size and slag particle size of granulation system. Feedback adjustment, and based on this, three sets of granulation experiments were carried out. The results show that the granulation quality is poor and difficult to control before the slag flow reaches steady state. The unsteady time of the slag flow should be shortened as much as possible. Compared with the granulated slag average diameter obtained by the granulated disk rotation method,the diameterof the adaptive control method is reduced by 20%, the amount of slag cotton formation is reduced by 35%; the granulation disk diameter is 120～160 mm, the comprehensive granulation effect is best; meanwhile, when the granulation disk rotation speed is lower than 1 600 r/min, the slag cotton can be effectively inhibited.
Keywords: blast furnace slag; centrifugal granulation; adaptive control
中图分类号：TF09 文献标志码：A
收稿日期： 2019-03-02， 修回日期：2019-05-02，在线出版时间：2019-06-25 14:13。
基金项目：国家重点研发计划项目，编号：2017YFB0603602-03
第一作者简介：孙广彤(1994—)，男，硕士研究生，研究方向为机械工程。E-mail：1027194476@qq.com。
通信作者简介：战胜(1976—)，男，博士，讲师，研究方向为机械电子工程。E-mail：ylxhmhyl@163.com。
文章编号：1008-5548(2019)05-0017-06
DOI:10.13732/j.issn.1008-5548.2019.05.003
