首页|基于热分析技术的球墨铸铁球化率和收缩特性预测

基于热分析技术的球墨铸铁球化率和收缩特性预测

扫码查看
针对球铁生产中存在的缩孔、缩松和球化不良等铸造缺陷导致废品率较高的问题,开展基于热分析技术的球铁球化率和收缩特性的预测研究。使用特定的热分析样杯进行铁液取样分析,在浇注目标成分铁液后,多路温度采集系统记录试样凝固温度曲线,计算了液相线温度TL、共晶最低温度TEU、共晶最高温度TER特征温度,并以这些特征值为变量,通过多元线性回归方法建立了预测收缩率和球化率的数学模型。经现场试验测试,采用模型预测收缩率和球化率的平均误差分别不超过1%和2%。
Spheroidization Rate and Shrinkage Characteristics Prediction of Ductile Cast Iron Based on Thermal Analysis Technology
In order to solve the problem of high rejection rate caused by casting defects such as shrinkage cavity,porosity and poor spheroidization and so on in the production of ductile cast iron,a study on the spheroidization rate and shrinkage characteristics prediction of ductile cast iron based on thermal analysis technology was carried out.Using a specific thermal analysis sample cup for molten iron sampling analysis,after pouring the target component molten iron,a multi-channel temperature acquisition system was applied to record the solidification temperature curve of the sample,and the characteristic temperatures of liquidus temperature TL,eutectic minimum temperature TEU and eutectic maximum temperature TER were calculated.Using these characteristic values as variables,the mathematical models for predicting shrinkage rate and spheroidization rate have been established through multiple linear regression method.After on-site experimental testing,the average prediction errors of the models for the shrinkage rate and spheroidization rate do not exceed 1%and 2%,respectively.

thermal analysisductile cast ironshrinkage tendencyspheroidization effectregression analysis

白宇轩、叶寒、顾嘉、杨明浩、李仕林、朱福生

展开 >

南昌大学先进制造学院,江西南昌 030024

龙南龙钇重稀土科技股份有限公司,江西贛州 341001

热分析 球墨铸铁 收缩倾向 球化效果 回归分析

蠕墨铸铁铁水热分析关键技术开发与应用

HX202105210001

2024

铸造
沈阳铸造研究所 中国机械工程学会铸造分会

铸造

CSTPCD
影响因子:0.499
ISSN:1001-4977
年,卷(期):2024.73(7)