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Influence of alloy solidification path on melt pool behavior in additive manufacturing

Journal Article · · International Journal of Heat and Mass Transfer
 [1];  [2];  [2];  [3]
  1. Purdue Univ., West Lafayette, IN (United States). Purdue Center of Metal Casting Research; Excet, Springfield, VA (United States)
  2. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
  3. Purdue Univ., West Lafayette, IN (United States). Purdue Center of Metal Casting Research

Numerical models used to study transport phenomena in laser-powder bed fusion processes often rely on assumptions and simplifications to reduce their computational expense. One common simplification is in the description of latent heat evolution during the solid-liquid phase change (i.e., the solidification pathway), justified by the fact that the mushy zone thickness is similar to the numerical grid spacing used for continuum transport models. The lack of resolution of transport phenomena in the mushy zone motivates the use of computationally convenient solidification paths such as linear or sigmoidal relationships over pathways derived from fundamental solidification theory such as equilibrium or Scheil models. In the present work, an uncertainty quantification (UQ) framework is used to analyze the influence of solidification pathway selection on the solidification dynamics and melt pool geometries in laser based additive manufacturing (AM) of IN625. Results show the solidification pathway has a quantifiable influence on the cooling rate at the liquidus isotherm, mushy zone thickness, and solidification time. Due to similarities in the latent heat evolution at the beginning of solidification, the equilibrium and Scheil models predict similar cooling rates near the liquidus isotherm, however the wider freezing range of Scheil leads to a wider mushy zone compared to equilibrium. The non-physical latent heat release profiles of sigmoidal and linear paths lead to significant overpredictions of cooling rates at the liquidus isotherm compared to equilibrium and Scheil. Finally, these results indicate that careful consideration should be given to the choice of solidification pathway to ensure reliable model predictions.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
2373015
Journal Information:
International Journal of Heat and Mass Transfer, Journal Name: International Journal of Heat and Mass Transfer Vol. 229; ISSN 0017-9310
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (17)

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Shell-and-tube type latent heat thermal energy storage: numerical analysis and comparison with experiments journal July 2011
Phase-Field Modeling of Microstructure Evolution in Electron Beam Additive Manufacturing journal March 2015
Single-Track Melt-Pool Measurements and Microstructures in Inconel 625 journal February 2018
Multi-physics modeling of single/multiple-track defect mechanisms in electron beam selective melting journal August 2017
Phase field simulation of powder bed-based additive manufacturing journal February 2018
A dynamically adaptive sparse grids method for quasi-optimal interpolation of multidimensional functions journal June 2016
Three-dimensional modeling of the microstructure evolution during metal additive manufacturing journal January 2018
Effect of enhanced heat and mass transport and flow reversal during cool down on weld pool shapes in laser spot welding of steel journal November 2013
Observation of keyhole-mode laser melting in laser powder-bed fusion additive manufacturing journal December 2014
Surface Morphology in Selective Laser Melting of Metal Powders journal January 2011
Additive manufacturing of metallic components – Process, structure and properties journal March 2018
Mechanistic models for additive manufacturing of metallic components journal February 2021
Solidification dynamics in metal additive manufacturing: analysis of model assumptions * journal February 2021
Sensitivity of Thermal Predictions to Uncertain Surface Tension Data in Laser Additive Manufacturing journal October 2020
A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions journal January 2020
Understanding Uncertainty in Microstructure Evolution and Constitutive Properties in Additive Process Modeling journal February 2022

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