Numerical and experimental analysis of heat distribution in the laser powder bed fusion of Ti-6Al-4V

Karayagiz, Kübra; Elwany, Alaa; Tapia, Gustavo; Franco, Brian; Johnson, Luke; Ma, Ji; Караман, И.; Arróyave, Raymundo

doi:10.1080/24725854.2018.1461964

Cited by 75 publications

(32 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This type of porosity may form due to the drop in hydraulic pressure below the temperature-dependent vapour pressure inside the melt pool. Karayagiz et al [60] also used FE approach to model heat distribution in the melt pool of Ti-6Al-4V during SLM. They found that in addition to process parameters, thermal [59].…”

Section: Melt Pool Formation Simulationmentioning

confidence: 99%

Powder bed fusion additive layer manufacturing of titanium alloys

Sabzi

2019

Materials Science and Technology

View full text Add to dashboard Cite

Powder bed fusion techniques for additive layer manufacturing are reviewed with a focus on titanium alloys production. Selective laser melting and electron beam melting are discussed in terms of feedstock production and processing-microstructure relationships. To control the powder bed fusion processes, an outline is presented on the computational modelling approaches for simulating process parameters and defects such as residual stresses and porosity at different length scales. It is concluded that by improving powder production techniques, designing new alloys and further developing additive layer manufacturing hardware, powder bed fusion techniques can reach commercial maturity.

show abstract

Section: Melt Pool Formation Simulationmentioning

confidence: 99%

Powder bed fusion additive layer manufacturing of titanium alloys

Sabzi

2019

Materials Science and Technology

View full text Add to dashboard Cite

show abstract

“…The governing equations for the conservation of energy during the laser heat distribution within the material can be found in Ref. [33]. The boundary conditions listed as thermal loads ( Fig.…”

Section: Finite Element Analysismentioning

confidence: 99%

“…Heat transfer within the simulation domain was governed by conduction only, but included phase-transformations effects in the form of latent heat contributions to the specific heat during melting and vaporization, as well as phase-dependent material properties [33].…”

Section: Finite Element Analysismentioning

confidence: 99%

Uncertainty analysis of microsegregation during laser powder bed fusion

Ghosh

Johnson

Elwany

et al. 2019

Modelling Simul. Mater. Sci. Eng.

Self Cite

View full text Add to dashboard Cite

Quality control in additive manufacturing can be achieved through variation control of the quantity of interest (QoI). We choose in this work the microstructural microsegregation to be our QoI. Microsegregation results from the spatial redistribution of a solute element across the solid-liquid interface that forms during solidification of an alloy melt pool during the laser powder bed fusion process. Since the process as well as the alloy parameters contribute to the statistical variation in microstructural features, uncertainty analysis of the QoI is essential. High-throughput phase-field simulations estimate the solid-liquid interfaces that grow for the melt pool solidification conditions that were estimated from finite element simulations. Microsegregation was determined from the simulated interfaces for different process and alloy parameters. Correlation, regression, and surrogate model analyses were used to quantify the contribution of different sources of uncertainty to the QoI variability. We found negligible contributions of thermal gradient and Gibbs-Thomson coefficient and considerable contributions of solidification velocity, liquid diffusivity, and segregation coefficient on the QoI. Cumulative distribution functions and probability density functions were used to analyze the distribution of the QoI during solidification. Our approach, for the first time, identifies the uncertainty sources and frequency densities of the QoI in the solidification regime relevant to additive manufacturing.

show abstract

“…Many Finite Element Method (FEM) analyses have been performed to show the temporal temperature distributions around a moving laser spot [8][9][10]. Furthermore, Computational Fluid Dynamics (CFD) analyses have been performed to obtain not only the temperature distribution but also the fluid flow in the melt pool by considering the free surface affected by Marangoni convection.…”

Section: Introductionmentioning

confidence: 99%

Non- and Quasi-Equilibrium Multi-Phase Field Methods Coupled with CALPHAD Database for Rapid-Solidification Microstructural Evolution in Laser Powder Bed Additive Manufacturing Condition

Nomoto

Segawa

Watanabe

2021

Metals

View full text Add to dashboard Cite

A solidification microstructure is formed under high cooling rates and temperature gradients in powder-based additive manufacturing. In this study, a non-equilibrium multi-phase field method (MPFM), based on a finite interface dissipation model, coupled with the Calculation of Phase Diagram (CALPHAD) database, was developed for a multicomponent Ni alloy. A quasi-equilibrium MPFM was also developed for comparison. Two-dimensional equiaxed microstructural evolution for the Ni (Bal.)-Al-Co-Cr-Mo-Ta-Ti-W-C alloy was performed at various cooling rates. The temperature-γ fraction profiles obtained under 105 K/s using non- and quasi-equilibrium MPFMs were in good agreement with each other. Over 106 K/s, the differences between the non- and quasi-equilibrium methods grew as the cooling rate increased. The non-equilibrium solidification was strengthened over a cooling rate of 106 K/s. Columnar-solidification microstructural evolution was performed at cooling rates of 5 × 105 K/s to 1 × 107 K/s at various temperature gradient values under a constant interface velocity (0.1 m/s). The results show that, as the cooling rate increased, the cell space decreased in both methods, and the non-equilibrium MPFM was verified by comparing with the quasi-equilibrium MPFM. Our results show that the non-equilibrium MPFM showed the ability to simulate the solidification microstructure in powder bed fusion additive manufacturing.

show abstract

Numerical and experimental analysis of heat distribution in the laser powder bed fusion of Ti-6Al-4V

Cited by 75 publications

References 80 publications

Powder bed fusion additive layer manufacturing of titanium alloys

Powder bed fusion additive layer manufacturing of titanium alloys

Uncertainty analysis of microsegregation during laser powder bed fusion

Non- and Quasi-Equilibrium Multi-Phase Field Methods Coupled with CALPHAD Database for Rapid-Solidification Microstructural Evolution in Laser Powder Bed Additive Manufacturing Condition

Contact Info

Product

Resources

About