首页> 外文会议>Symposium on Advanced Materials and Processes for Gas Turbines >PREDICTING FRECKLE FORMATION IN SINGLE CRYSTAL NI-BASE SUPERALLOY CASTINGS
【24h】

PREDICTING FRECKLE FORMATION IN SINGLE CRYSTAL NI-BASE SUPERALLOY CASTINGS

机译:预测单晶Ni基超合金铸件中的雀斑形成

获取原文
获取外文期刊封面目录资料

摘要

Freckle formation has been investigated in thirty-two distinct experimental single crystal Ni-base superalloys with large compositional variations. In addition to variations in alloy chemistry, the components studied in this investigation consisted of cylindrical bars with different diameters and solid blade-shaped components unidirectionally solidified in industrial casting trials. The occurrence of freckles was statistically assessed in over four hundred and seventy single crystal components. Detailed analyses of the microstructures, segregation behavior and phase transformation temperatures are presented and utilized to develop regression models capable of predicting the occurrence of freckle formation during solidification. A linear regression model incorporating physical parameters is compared with a neural network model. The implications of these models on the approach for alloy design are discussed.
机译:已经在三十二个不同的实验单晶Ni碱基超合金中研究了祛斑形成,具有大的组成变化。除了合金化学的变化之外,在该研究中研究的组件包括圆柱形条,其包括不同直径和实心叶片成型的组件,在工业铸造试验中单向凝固。雀斑的发生在统计学评估超过四百七十个单晶组分。介绍和利用微结构,分离行为和相变温度的详细分析,以开发能够在凝固过程中预测雀斑形成发生的回归模型。将包含物理参数的线性回归模型与神经网络模型进行比较。讨论了这些模型对合金设计方法的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号