A technique for characterizing microsegregation in multicomponent alloys and its application to single-crystal superalloy castings
A technique for characterizing microsegregation in multicomponent alloys and its application to single-crystal superalloy castings
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DOI：
10.1007/s11661-005-0338-2
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发表时间：
2005-08-01
影响因子：
2.8
通讯作者：
Lee, PD
中科院分区：
文献类型：
--
作者：
Ganesan, M;Dye, D;Lee, PD
多组分合金显微偏析测量中的仪器误差使随机取样数据的处理复杂化。在这篇文章中，提出了两种新的合金独立的数据处理算法，能够分离的影响，分散在数据的潜在偏析趋势，分配给每个测量位置一个独特的固体分数。这些新的方法是物理上合理的，并导致改进的偏析参数，特别是在枝晶尖端的溶质分配的估计。这是通过确定连续四代单晶（SX）镍基高温合金中的显微偏析来证明的。在显微偏析分布中常见的人工噪声诱导的尾部也被最小化。介绍了一种用于评估排序方案的方法，该方法不依赖于分区方向的先验知识。并与其他排序方法和CALPHAD预测的分配系数进行了比较。合金设计的影响，说明溶质物种，如Ru，Re，Co和W之间的相互作用。
Instrumental errors in microsegregation measurements in multicomponent alloys complicate the treatment of randomly sampled data. In this article, two new alloy-independent data treatment algorithms are presented that are capable of separating the effects of scatter in the data from the underlying segregation trends, assigning each measurement location a unique fraction solid. These new methods are physically reasonable and result in improved estimates of segregation parameters, particularly the solute partitioning at the dendrite tip. This is demonstrated by determining the microsegregation in four successive generations of single-crystal (SX) nickel-based superalloys. Artificial, noise-induced, tails commonly seen in the microsegregation profiles are also minimized. A methodology for evaluating sorting schemes is introduced that does not depend upon a priori knowledge of the partitioning direction. Comparison is made to both other sorting methods and CALPHAD predicted partition coefficients. Implications for alloy design are reported, illustrating the interaction between solute species such as Ru, Re, Co, and W.