Computational Simulation of Nanoparticle Distributions in Metal Matrix Composite Casting Processes

Zheng, Guo; Jakumeit, J.; Pabel, Thomas; Kneißl, Christian; Magagnin, Luca

doi:10.1007/978-3-030-65396-5_25

Cited by 2 publications

(4 citation statements)

References 18 publications

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“…To investigate particle motion and distribution during melt fluid simulations, interactions between melt and particles were defined by drag forces. The thermophoretic force and the Brownian force were newly implemented for NP tracking [18]. The direction and the amplitude of the Brownian force were determined by a so-called diffusion-adaptive method.…”

Section: Simulation Of the Nanoparticle Effectmentioning

confidence: 99%

“…The NP distribution and the influence of these changes of the material properties on the deposition process under different process conditions is analysed by simulation. inside melt bead, which could be the resultant of the thermo-diffusion-oriented effect of the Brownian motion [18]. Figure 6 shows normalized track dimensions (height, width and length) for different contact angles.…”

Section: Nanoparticle Distribution In the Molten Track Of A Ti64 Ded ...mentioning

confidence: 99%

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Influence of nanoparticles on melting and solidification during a Directed Energy Deposition process analysed by simulation

Zheng

Laqua

Rey

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Additive Manufacturing is a strategic tool for industrial applications. When large size structural parts are targeted, high deposition rates are important and Directed Energy Deposition (DED) is a preferred technique. A metal wire is melted by laser light and deposit on a substrate or already solidified material. Due to the small size of the melting zone, a detailed experimental analysis of the process is very difficult and simulation is an important tool to understand the manufacturing process and the influence of process and material parameter. Here the influence of the nanocomposite reinforcement on the deposition process are investigated by simulation single line tracks. A three-phase melting and solidification simulation methodology has been used to investigate the melting and solidification during DED printing of single line tracks of different wire materials. The approach uses the finite-volume method and arbitrary polyhedral control volumes to solve the governing equations. Heating of the wire by laser light is tackled using a volumetric heat source describing the specific absorption of the laser power by the metal wire. The influence of melting and solidification on the initially uniform nanocomposite distribution during the printing process is simulated using a Lagrangian approach. Firstly, simulations for steel ST 52-3 (1.0570) were performed for different process parameter settings and compared to experimental results of deposition width, height and form to validate the simulation approach. The method is then applied to Ti6Al4V wires with and without nanocomposites added to the wire material. Adding nanocomposites changes the melting and solidification behaviour of the wire materials. The influence of these changes of the material properties on the deposition process under different process conditions is analysed by simulation.

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Section: Simulation Of the Nanoparticle Effectmentioning

confidence: 99%

Section: Nanoparticle Distribution In the Molten Track Of A Ti64 Ded ...mentioning

confidence: 99%

Influence of nanoparticles on melting and solidification during a Directed Energy Deposition process analysed by simulation

Zheng

Laqua

Rey

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Generally, AMC are manufactured by casting (e.g. [3]), powder metallurgy (e.g. [4]) or semi-solid routes (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…A current research project focuses on nano-particle reinforced aluminium alloys produced by low pressure die casting. Here, a Lagrangian multiphase approach without particle-particle interaction is used to model the particle movement during the casting process [3]. In summary, there are several approaches to model the production of AMC.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Ceramic Particle Motion during Semi-Solid Forming of Aluminium Matrix Composites via CFD-DEM Four-Way Coupling

Speth

Heine

Riedmüller

et al. 2022

KEM

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Today, aluminium matrix composites (AMC) are widely used for the manufacturing of lightweight, yet highly stressed components in automotive, aeronautic and electrical engineering. In order to achieve particle distributions as homogeneous as possible within these component’s volumes and thus ensure optimum component properties, efforts are being made to simulate the manufacturing process prior to production. In this paper, AMC with extremely high particle fractions of more than 25 vol.% are considered in particular, as their processing still poses significant technological challenges. To model the particle motion in a computational fluid dynamics (CFD) simulation of the semi-solid forming process of this type of materials, a Lagrangian multiphase approach combining CFD and discrete element method (DEM) was used. Here, the DEM allowed all particle-particle interactions to be considered. Thus, different parameters influencing particle agglomeration, particle distribution as well as particle interaction with the cavity can be investigated during a numerical study. More specifically, the influence particle parameters such as cohesion forces and the influence of the forming speed onto the particle distribution in the final component ́s volume was analysed. The simulations were performed for a symmetric disc geometry. A forming tool was already available for this geometry, with which components could be manufactured to validate the simulation results. In the end, the study shows that by using four-way CFD-DEM coupling, simulation predictability for the semi-solid forming process of AMC could be significantly improved.

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Computational Simulation of Nanoparticle Distributions in Metal Matrix Composite Casting Processes

Cited by 2 publications

References 18 publications

Influence of nanoparticles on melting and solidification during a Directed Energy Deposition process analysed by simulation

Influence of nanoparticles on melting and solidification during a Directed Energy Deposition process analysed by simulation

Modelling of Ceramic Particle Motion during Semi-Solid Forming of Aluminium Matrix Composites via CFD-DEM Four-Way Coupling

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