Linking processing parameters with melt pool properties of multiple nickel-based superalloys via high-dimensional gaussian process regression

HIGHLIGHTS

• who: Nandana Menon and collaborators from the Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA, USA have published the Article: Linking processing parameters with melt pool properties of multiple nickel-based superalloys via high-dimensional Gaussian process regression, in the Journal: (JOURNAL)
• what: Material and thermophysical properties Thermal model for predicting melt pool properties To obtain the melt pool property data, this work implements a widely used analytical model developed by Eagar and Tsa . In this paper, two GP surrogates are developed as described below: One-Step Surrogate Modeling: A single GP . . .
  

   

  

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