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Effects of hydrogen content and solidification time on porosity formation in LFCs of A356 alloy— a semi-empirical model

机译:氢含量和凝固时间对A356合金LFC中孔隙形成的影响-半经验模型

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摘要

Criterion functions are widely used in computer simulation of casting process to predict the shrinkage formation in various alloys, including aluminum alloys. However, the application of the standard criterion functions, such as Niyama and others, to aluminum alloys is limited to those with low hydrogen content, since the effect of hydrogen content has not yet been modeled. Using stepped lost foam castings (LFCs) of A356 with different hydrogen contents, new relationships between pore size (D in micron) and local solidification time (t{sub}f in minutes) was developed: D = A(t{sub}f){sup}n where n and A are parameters depending on hydrogen content. Using this relationship, a unique semi-empirical model was set up to describe the growth of pores in LFC, for different hydrogen contents. Based on this model, a new criterion function, CR, that includes the contributions of interdendritic feeding mechanism and gas pore formation was proposed to predict the porosity formation of LFCs with different hydrogen levels, shapes and sizes. An evaluation of the new criterion function was carried out with an extensive data analysis of the castings, which turned out to be an excellent correlation between the prediction of this new criterion function and the experimental data. It is possible to extend this criterion function to other alloys in which the influence of gas pores resulting from hydrogen precipitating during solidification cannot be ignored, provided the correlation of pore size to thermal parameters and hydrogen content is available.
机译:标准函数广泛用于铸造过程的计算机模拟中,以预测各种合金(包括铝合金)的收缩形成。但是,由于尚未对氢含量的影响进行建模,因此将标准准则函数(例如Niyama等)应用于铝合金的操作仅限于氢含量较低的铝合金。使用具有不同氢含量的A356的失步泡沫消失模铸件(LFC),开发了孔径(以微米为单位的D)与局部凝固时间(以分钟为单位的t {sub} f)之间的新关系:D = A(t {sub} f } {sup} n其中n和A是取决于氢含量的参数。利用这种关系,建立了独特的半经验模型来描述LFC中不同氢含量的孔的生长。在此模型的基础上,提出了一种新的准则函数CR,该准则函数包括树突间进料机制和气孔形成的作用,以预测具有不同氢含量,形状和大小的LFC的孔隙形成。通过对铸件进行广泛的数据分析,对新的标准函数进行了评估,结果证明该新的标准函数的预测与实验数据之间具有极好的相关性。可以将这种判别函数扩展到其他合金,在这些合金中,凝固过程中氢沉淀引起的气孔影响不容忽视,只要孔径与热参数和氢含量之间具有相关性即可。

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