Engulfment and distribution of second-phase nanoparticle during dendrite solidification of an Al–Si binary alloy: a simulation study

Wang, Yachao; Shi, Jing

doi:10.1007/s00339-019-2738-y

Cited by 10 publications

(8 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, the porosity of the as‐built IN718‐1.0Y 2 O 3 samples, measuring 0.49%, is approximately seven times higher than that of the IN718 counterpart. The obvious increase in porosity could be related to the severe agglomeration of nanoparticle interaction with the solidification front [ 36,37 ] (slow down the solidification front velocities) during LPBF where rapid solidification rates (10 4 –10 7 K s −1 ) [ 38 ] take place. During the solidification, the nanoparticle agglomerations change the surface tension temperature coefficient of melt pool, leaving gaps between the agglomerations and the solidified matrix.…”

Section: Resultsmentioning

confidence: 99%

Unique Yttria Nanoparticle Strengthening in an Inconel 718 Superalloy Fabricated by Additive Manufacturing

Dai,

Zhu,

Yan

et al. 2023

Adv Materials Technologies

View full text Add to dashboard Cite

Oxide dispersion strengthened (ODS) nickel (Ni)‐based superalloys are advanced materials known for their outstanding tensile and creep performance at temperatures exceeding 1000 °C. Nevertheless, their conventional synthesis presents a longstanding challenge in cost‐effectively producing intricate components for critical applications. In this work, electrostatic self‐assembly (ESA) of powders with the laser powder bed fusion (LPBF) process have been successfully combined to produce yttria ODS Inconel 718 (IN718) alloy for the first time. The approach has demonstrated a significant contribution of yttria to the strength of IN718 after the solid solution heat treatment, as evidenced by ≈50% improvement in room temperature yield strength with a 0.5 wt.% yttria addition. The addition of yttria by this process leads to a heterogeneous microstructure. This heterogeneous microstructure comprises two distinct grain areas with varying amounts of yttria nanoparticles and dislocation storage. It has been shown that the yield strength increase can be predicted by the combination of both Y2O3 dispersion strengthening and dislocation strengthening mechanisms. These findings offer an effective approach to tailor heterogeneous microstructures, unlocking new opportunities for cost‐effectively producing high‐performance ODS Ni‐based superalloy products with excellent mechanical properties.

show abstract

Section: Resultsmentioning

confidence: 99%

Unique Yttria Nanoparticle Strengthening in an Inconel 718 Superalloy Fabricated by Additive Manufacturing

Dai,

Zhu,

Yan

et al. 2023

Adv Materials Technologies

View full text Add to dashboard Cite

show abstract

“…The engulfment and the pushing of particles have been numerically modeled [82][83][84][85]. Wang and Shi [86] numerically studied the engulfment and distribution of NP in MMNC during micro-scale solidification. It was observed that the NP near the dendritic arm tips are engulfed and the NP in the regions away from the tips are pushed.…”

Section: Introductionmentioning

confidence: 99%

A 2D model for prediction of nanoparticle distribution and microstructure evolution during solidification of metal matrix nanocomposites

Jegatheesan¹,

Bhattacharya²

2021

Modelling Simul. Mater. Sci. Eng.

View full text Add to dashboard Cite

A 2D numerical model to predict the microstructure evolution in binary alloy matrix nanocomposites is presented. The main novelty of the model is that it captures the effect of nanoparticles on binary alloy dendrite growth and microstructure evolution. Diffusion based transport of nanoparticles is solved using a nanoparticle concentration defined in a similar way to an alloying element. Engulfment or rejection of nanoparticles at the solidification interface is implemented by defining a partition coefficient. The diffusivity of nanoparticles is calculated based on nanoparticle movement due to Brownian motion. The governing equations for binary alloy solidification are formulated using the volume averaged enthalpy method with a probabilistic nucleation model for grain nucleation. The effect of nanoparticles on solidification is incorporated through modifications of the solute diffusion field and interfacial energy. The developed model is used for predicting the effect of nanoparticle concentration and nanoparticle radius on dendrite growth and microstructure evolution. From single dendrite study, it is observed that the dendrite size decreases with increase in nanoparticle concentration while it increases with increase in nanoparticle radius. During microstructure evolution, increased non-homogeneity in nanoparticle distribution is observed with increase in nanoparticle concentration and more uniform distribution is observed with increase in nanoparticle radius.

show abstract

“…The aforementioned analytical and scaling models have been applied widely in the prediction of particle behaviours, and good agreements with some of the recent experimental studies can be observed [153,184]. Many numerical simulations have also been conducted to investigate the interactions between particles and the freezing front [185][186][187][188][189]. However, these works cannot provide direct predictions of the critical velocity.…”

Section: Theoretical Studies Of the Particle Engulfment Transition Inmentioning

confidence: 97%

“…The rejection of particles by the freezing front is very influential in the generation of this Marangoni flow. Many studies have shown that the velocity of the freezing front and the radii of the nanoparticles can affect the rejection/engulfment of particles[143,188,189,218]. In this study, the velocity of the freezing front in a TiO2 nanofluid droplet can be altered by adjusting the substrate temperature and the radii of the particles in nanofluid droplets, which vary from 5 nm to 800 nm.…”

mentioning

confidence: 92%

“…29 Droplet height variations in the freezing processes of nanofluid droplets (5 nm, 15 nm, 100 nm, and 800 nm TiO2 particles) with 0.3% volumetric concentrations Particles can be engulfed in the solid ice phase when the speed of the freezing front exceeds a limit value, which is defined as the critical velocity[130,185,187,189,218]. With fewer particles being rejected by the freezing interface, the effect of the Marangoni flow decreases, and the morphologies of nanofluid droplets change.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Experimental and numerical studies on freezing of droplets under effects of nanoparticles and magnetic fields

Zhang¹

View full text Add to dashboard Cite

show abstract

Engulfment and distribution of second-phase nanoparticle during dendrite solidification of an Al–Si binary alloy: a simulation study

Cited by 10 publications

References 34 publications

Unique Yttria Nanoparticle Strengthening in an Inconel 718 Superalloy Fabricated by Additive Manufacturing

Unique Yttria Nanoparticle Strengthening in an Inconel 718 Superalloy Fabricated by Additive Manufacturing

A 2D model for prediction of nanoparticle distribution and microstructure evolution during solidification of metal matrix nanocomposites

Experimental and numerical studies on freezing of droplets under effects of nanoparticles and magnetic fields

Contact Info

Product

Resources

About