Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition

This publication has 18 references indexed in Scilit:

• Revealing the effects of laser beam shaping on melt pool behaviour in conduction-mode laser melting
  Journal of Materials Research and Technology, 2023
• Prediction of melt pool geometry by fusing experimental and simulation data
  International Journal of Mechanical Sciences, 2023
• Additive Manufacturing Melt Pool Prediction and Classification via Multifidelity Gaussian Process Surrogates
  Integrating Materials and Manufacturing Innovation, 2022
• Multi-fidelity modeling with different input domain definitions using deep Gaussian processes
  Structural and Multidisciplinary Optimization, 2021
• How the nozzle position affects the geometry of the melt pool in directed energy deposition process
  Powder Metallurgy, 2019
• Additive manufacturing of metallic components – Process, structure and properties
  Progress in Materials Science, 2018
• Multi-fidelity Gaussian process regression for prediction of random fields
  Journal of Computational Physics, 2017
• Prediction of melt pool depth and dilution in laser powder deposition
  Journal of Physics D: Applied Physics, 2006
• An Experimental Investigation of Laser Cladding
  CIRP Annals, 2002
• Predicting the output from a complex computer code when fast approximations are available
  Biometrika, 2000