ABSTRACT

For the current, the thermal analysis sample cups used to predict the carbon and silicon content of cast iron melts are relatively large and take a long time for each measurement, a smaller cylindrical thermal analysis sample cup with an inner diameter of 25 mm and a height of 55 mm was studied for the analysis of carbon and silicon. The thermal analysis system can quickly measure the temperature characteristic values of the liquidus temperature TL and the eutectic temperature TE of the temperature curves related to carbon equivalent, carbon content and silicon content within 2 min, and mathematical models for the prediction of carbon equivalent CEL (3.2–4.7), carbon content C% (3.0–4.0%) and silicon content Si% (1.0–2.5%) was established by multiple linear regression in combination with optical emission spectroscopy: $\mathrm{C}\mathrm{E}\mathrm{L}=15.3426-0.009565\times \mathrm{T}\mathrm{L},\mathrm{C}\mathrm{\%}=-6.36-0.007934\times \mathrm{T}\mathrm{L}+0.01717\times \mathrm{T}\mathrm{E},\mathrm{S}\mathrm{i}\mathrm{\%}=58.7207-0.049322\times \mathrm{T}\mathrm{E}-0.001619\times \mathrm{T}\mathrm{L}.$ We had checked the accuracy, the average error of carbon equivalent and carbon content and silicon content did not exceed 0.05%.

摘要

目前用于预测铸铁熔体碳硅含量的热分析样杯较大，每次测量时间较长，较小的圆柱形热分析样杯，内径25mm，高研究了 55 毫米的碳和硅分析。热分析系统可在2min内快速测出与碳当量、碳含量、硅含量相关的温度曲线的液相线温度TL和共晶温度TE的温度特征值，并建立预测碳当量CEL的数学模型（ 3.2–4.7), 碳含量 C% (3.0–4.0%) 和硅含量 Si% (1.0–2.5%) 通过多元线性回归结合光发射光谱建立：$\mathrm{C}\mathrm{乙}\mathrm{大号}=15.3426-0.009565\times \mathrm{吨}\mathrm{大号},\mathrm{C}\mathrm{\%}=-6.36-0.007934\times \mathrm{吨}\mathrm{大号}+0.01717\times \mathrm{吨}\mathrm{乙},\mathrm{小号}\mathrm{我}\mathrm{\%}=58.7207-0.049322\times \mathrm{吨}\mathrm{乙}-0.001619\times \mathrm{吨}\mathrm{大号}.$我们已经核对过准确度，碳当量和碳含量、硅含量的平均误差不超过0.05%。