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基于激光干法检测技术的在线选粉系统设计 被引量:1

Design of on-line powder classification system based on laser dry detection technology
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摘要 针对选粉机离线样品检测效率低、周期长等现状,设计并搭建了基于激光干法检测技术的在线选粉系统。在选粉机控制方面,基于PLC工控技术,搭建了"螺旋输送-选粉-收尘"工艺的选粉机控制平台;对于选粉过程中粉体颗粒粒径小、粒速大的特性,采用激光干法在线取样检测,实现以粒度分布作为过程反馈变量参与过程调节的闭环控制。根据平台实验,系统闭环检测周期可降至1 s,在线选粉检测结果与传统马尔文离线检测结果一致,准确率达98.8%。结果表明;该系统能在实现高精度在线检测、反馈调节的同时,保持各批次成品参数一致,保证选粉成品质量更加稳定、可靠。 To improve the current situation of low efficiency and long cycle of off-line sample detection of powder classifier,an online powder classification system based on laser dry detection technology was designed and built.In the control of powder classifier,a control platform of "spiral conveying-powder sorting-dust collecting" process was built based on PLC industrial control technology.For the characteristics of small particle size and large particle speed in the process of powder selection,the closed-loop control of process regulation with particle size distribution as process feedback variable was realized by using laser dry sampling on line.According to the platform experiment,the cycle of closed loop detection system can be reduced to 1 sec and the result of on-line powder classification is consistent with that of traditional Marvin offline detection which is as high as 98.8%.On the basis of the accuracy of online detection can meet the requirements,real-time data can be obtained for feedback adjustment.The results show that the system can keep the parameters of each batch of finished product consistent on the basis of high precision online detection and feedback adjustment which can ensure that the quality of products is more stable and reliable.
作者 张津晨 刘自红 向科峰 曾杨吉 ZHANG Jinchen;LIU Zihong;XIANG Kefeng;ZENG Yangji(School of Manufacturing Science and Engineering,Southwest University of Science and Technology,Mianyang 621000,China)
出处 《粉末冶金工业》 CAS 北大核心 2022年第1期100-105,共6页 Powder Metallurgy Industry
基金 国家工信部绿色制造系统集成项目(17zg0102) 西南科技大学博士基金资助项目(20zx7148)。
关键词 在线选粉 激光粒度检测 负压取样 调整参数 on-line selection of powder particle size detection by laser sampled by negative pressure adjustment of parameter
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