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基于凝固过程电导率变化的球墨铸铁球化效果预测方法及装置OACSTPCD

Method and Device for Predicting Nodularization Effect of Ductile Iron Based on Conductivity Change During Solidification Process

中文摘要英文摘要

石墨形态对铸铁力学性能具有重要影响,炉前快速预测铸铁石墨形态对于提高铸件质量和生产效率具有重要意义.本文根据电磁感应原理,设计了一款基于凝固过程电阻率监测的铸铁石墨形态预测方法及装置,采用环形试样和电磁信号传感器同时获取熔体凝固过程电阻率及温度变化信号,以电磁参数评价石墨形态.预测装置包括铸铁熔体取样器、电磁信号传感器、高速信号采集模块、FPGA信号处理模块等硬件单元,软件采用Verilog语言编程.通过试验建立了铸铁石墨形态与电磁参数的相关性模型.

Graphite morphology has an important influence on the mechanical properties of cast iron.Rapid prediction of graphite morphology of cast iron in front of the furnace is significant to improve the quality and production efficiency of castings.In this paper,based on the principle of electromagnetic induction,a method and device for predicting the graphite morphology of cast iron based on the resistivity monitoring of solidification process are designed.A circular sample and an electromagnetic signal sensor are used to obtain the resistivity and temperature gnals in melt solidification process at the same time,and the graphite morphology is evaluated by electromagnetic parameters.The prediction device includes cast iron melt sampler,electromagnetic signal sensor,high-speed signal acquisition module,FPGA signal processing module and other hardware units.The software is programmed in Verilog language.The correlation model between graphite morphology and electromagnetic parameters of cast iron was established by experiments.

李朝;马旭梁;李大勇

哈尔滨理工大学材料科学与化学工程学院,黑龙江哈尔滨 150080

金属材料

球墨铸铁石墨形态电磁感应预测方法预测装置

ductile cast irongraphite morphologyelectromagnetic inductionprediction methodprediction device

《铸造》 2024 (003)

380-385 / 6

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