预测含碳材料的浓度对湿型砂排放物的影响

Predicting the Impact on Green Sand Emissions as a Function of the Concentration of Carbonaceous Additives

通过实验设计、结合方差分析(ANOVA),揭示出膨润土预混材料中的煤粉和Flo-Carb®与排放物的量在统计意义上具有显著的关联,其中,排放物的测量是通过使用热裂解器和气相色谱质谱分析法(热裂解器/GC-MS)完成的。有害空气污染物(HAPs)是在实验室环境检测的。从ANOVA结果生成一种模型,根据煤粉和Flo-Carb®的浓度来预测型砂的排放量。在实验室对比两种预混材料,模拟某个铸造厂的现有配方和低排放配方,进一步验证了该模型的有效性。

Design of Experiment methodology was used in combination with Analysis of Variance(ANOVA)to show that carbonaceous additives seacoal and Flo-Carb®in the bentonite-based pre-blend are statistically significant factors in predicting emissions output as measured using pyrolyzer Gas Chromatography Mass Spectrometry(pyrolyzer/GC-MS)analytical methods.Hazardous Air Pollutants(HAPs)were measured in a laboratory setting.A model was generated from the results of the ANOVA and used to predict emissions of molding sands as a function of their seacoal and Flo-Carb®concentrations.The results of this model were further confirmed by the evaluation of lab prepared molding sands based on a current formulation and a proposed lower emission formula for a commercial iron foundry.