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作 者:梁爽[1] 何永辉[1] 翁小平 殷泽军 LIANG Shuang;HE Yonghui;WENG Xiaoping;YIN zejun(Research Institute,Baoshan Iron & Steel Co. ,Ltd. , Shanghai 201999, China;Baowu Carbon Materials,China Baowu Steel Group Co. ,Ltd. , Shanghai 201900, China)
机构地区:[1]宝山钢铁股份有限公司中央研究院,上海201999 [2]中国宝武钢铁集团有限公司宝武炭材料科技有限公司,上海201900
出 处:《宝钢技术》2021年第3期22-26,共5页Baosteel Technology
摘 要:焦类炭材料的颗粒尺寸分布是重要的质量指标之一。目前,主要采用人工筛分抽样统计焦类炭材料的尺寸分布的方法,统计结果粗糙,抽样效率低下,工人劳动强度大,无法自动化完成。基于上述问题,研发了用于实际生产线的焦类炭材料颗粒筛分装置及成像测试分析方法,根据颗粒度的判断规则,最终实现自动化粒径检测,实现对焦类炭材料粒度的及时反馈。运行证明,系统运行稳定、可靠,筛分准确率很高,大大提升了生产效率和产品质量。The particle size distribution of coke-like carbon material is one of the important quality indexes.At present,manual screening sampling method is mainly used to count the size distribution of coke-like carbon material.The statistical results are rough,the sampling efficiency is low,and the labor intensity of workers is large,which can not be completed automatically.Based on the above problems,a coke-like carbon material particle screening device and imaging test analysis method for production line is presented.According to the judgment rules of particle size,automatic particle size detection and timely feedback of coke-like carbon material particle size are realized.Its performance shows that the system is high efficiency,high reliability and high quality.
分 类 号:TE626.8[石油与天然气工程—油气加工工程]
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