High-Throughput Approaches to Establish Quantitative Process–Structure–Property Correlations in Ni-Base Superalloy

Conference paper
Part of the The Minerals, Metals & Materials Series book series (MMMS)


A high-throughput approach for collecting microstructure and mechanical properties were developed to model the process–structure–property (PSP) correlations in polycrystalline Ni-based superalloy ME3. The semi-automated image processing algorithm captured the area fraction and size distribution of secondary and tertiary γ′ particles from scanning electron microscopy (SEM) images of polished samples. The yield strength and elastic modulus were calculated with an automated algorithm using load-time-displacement data generated by microindentation. Thirty heat treatments were conducted to create various γ′ distributions which are the primary strengthening mechanism of Ni-based superalloys. The PSP correlations among the predictor and response variables were evaluated with regression models and validated with adj-R2 and residual standard error statistics. The PSP statistical models built by using high-throughput protocols align with the previous statistical and theoretical models.


Disk superalloy Microindentation High-throughput approaches Process–structure–property correlation modeling 



This work was supported by the National Science Foundation under Grant No 1152716. Material and solutionizing heat treatments were conducted at NASA Glenn Research Center. Scanning electron micrographs were collected utilizing Center for Electron Microscopy and Analysis (CEMAS) at the Ohio State University. Microindentation experiments were conducted utilizing equipment maintained at the Materials for Optoelectronic Research (MORE) Center at Case Western Reserve University. The data required to reproduce these findings are available to download from and/or from the corresponding author upon request.


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Copyright information

© The Minerals, Metals & Materials Society 2020

Authors and Affiliations

  1. 1.Department of Materials Science and EngineeringCase Western Reserve UniversityClevelandUSA
  2. 2.Department of Materials Science and EngineeringThe Ohio State UniversityColumbusUSA

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