Automated detection and characterization of microstructural features: application to eutectic particles in single crystal Ni-based superalloys

作者：Tschopp M A^*; Groeber M A; Fahringer R; Simmons J P; Rosenberger A H; Woodward C

来源：Modelling and Simulation in Materials Science and Engineering, 2010, 18(2): 025014.

DOI：10.1088/0965-0393/18/2/025014

Serial sectioning methods continue to produce an abundant amount of image data for quantifying the three-dimensional nature of material microstructures. Here, we discuss a methodology to automate detecting and characterizing eutectic particles taken from serial images of a production turbine blade made of a heat-treated single crystal Ni-based superalloy (PWA 1484). This method includes two important steps for unassisted eutectic particle characterization: automatically identifying a seed point within each particle and segmenting the particle using a region growing algorithm with an automated stop point. Once detected, the segmented eutectic particles are used to calculate microstructural statistics for characterizing and reconstructing statistically representative synthetic microstructures for single crystal Ni-based superalloys. The significance of this work is its ability to automate characterization for analysing the 3D nature of eutectic particles.

• 出版日期2010-3