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Lattice Misfit Predictions via the Gaussian Process Regression for Ni-Based Single Crystal Superalloys

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Abstract

Ni-based single crystal superalloys exhibit superb mechanical strength, particularly, creep resistance at elevated temperature. The unique microstructure, which is consisted of \(\gamma\) and \(\gamma ^{\prime }\) phases, is a major factor that determines the mechanical behavior of these alloys. The lattice misfit between the two phases is of particular interest in understanding and predicting the deformation mechanism. The measurement of the lattice misfit by advanced analytical instruments is costly and difficult. In current study, we develop the Gaussian process regression model to predict lattice misfits for Ni-based single crystal superalloys based on chemical composition, temperature, and two morphological indicators. The model is highly stable and accurate and promising as a fast, robust, and low-cost tool for lattice misfit estimations.

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Authors and Affiliations

  1. Department of Materials Science and Engineering, North Carolina State University, Raleigh, NC, 27695, USA

    Yun Zhang & Xiaojie Xu

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  1. Yun Zhang
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  2. Xiaojie Xu
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Correspondence to Yun Zhang.

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Zhang, Y., Xu, X. Lattice Misfit Predictions via the Gaussian Process Regression for Ni-Based Single Crystal Superalloys. Met. Mater. Int. 27, 235–253 (2021). https://doi.org/10.1007/s12540-020-00883-7

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