FLOW-3D AM

FLOW-3D AM offers powder spreading and melt pool modeling tools based on discrete element method (DEM) and computational fluid dynamics (CFD) for AM processes. Process parameters such as laser power and speed, scan path, hatch spacing, powder size distribution and powder bed packing influence the AM build process and the mechanical properties of the built part. Through CFD modeling, researchers can understand the effects of these process parameters on underlying physical phenomena such as melt pool dynamics, porosity formation, solidification and microstructure evolution. Such numerical models provide insights into fluid convection in the melt pool, formation of keyholes, temperature gradients and solidification rates. These insights can then drive development of process windows for alloys that take full advantage of the benefits of additive manufacturing.

What Product is Right for You?

FLOW-3D AM

This is a combination of FLOW-3D DEM and FLOW-3D WELD that lets you simulate the end-to-end laser powder bed fusion process including the powder spreading and the laser melting process.

FLOW-3D WELD

Simulate the laser-powder bed interaction in a laser powder bed fusion process and the laser-wire feed or the laser-powder feed interaction in a directed energy deposition process. Additionally, simulate laser welding, laser cladding, laser soldering and laser brazing applications.

FLOW-3D DEM

Simulate the powder bed formation process for laser powder bed fusion or binder jetting processes. Additionally, simulate binder impingement on a powder bed and other fluid flow related applications not related to a laser.

FLOW-3D

Simulate the fused deposition modelling process and binder impingement in a binder jetting process. Additionally, simulate other fluid flow simulations not related to a laser.

Laser Based Processes: LPBF

Many aspects of the LPBF process can be better understood and optimized through CFD simulations.

Particle Spreading

The first step in a LPBF process is depositing a powder bed of certain material with prescribed layer height and desired powder bed density. FLOW-3D DEM enables researchers to understand powder spreading and compaction as it relates to powder size distribution, material properties, cohesion effects, as well as geometry effects such as roller or blade motion and interaction. These simulations give an accurate understanding on how process parameters affect powder bed characteristics such as packing density that will have a direct impact on the melt-pool dynamics in the subsequent printing process.

Melting

Once the powder bed is generated in a DEM simulation, it is extracted as an STL file. The next step is simulating the laser melting process using CFD. Here, we model the interaction of the laser beam and the powder bed. To capture this process accurately, the physics include viscous flows, laser reflections within the melt pool (through ray tracing), heat transfer, solidification, phase change and vaporization, recoil pressure, shield gas pressure and surface tension. All of these physics have been built on top of the TruVOF method to accurately simulate this complex process.

Multilayer

Once the melt pool track solidifies, DEM can be used to simulate the spreading of a new powder layer on the previously solidified layer. Similarly, laser melting can then be performed on the new powder layer to analyze fusion conditions between subsequent layers.

When depositing and melting subsequent layers with LPBF, temperature gradients, cooling rates, and solidification will have a major impact on the fusion between layers, the microstructure, and the final part quality. FLOW-3D AM enables researchers to run high-fidelity simulations at the melt-pool scale of both powder physics and laser-material interactions to understand the resultant fusion, thermal profiles, and solidification from depositing additional layers. Further, researchers can look at the effect of scan strategy on subsequent layers to optimize laser parameters to increase production without compromising part quality.

Keyholing in LPBF

How is porosity formed during keyholing? This was the question that researchers from TU Denmark answered using FLOW-3D AM. As the substrate melts under the application of a laser beam, the recoil pressure due to vaporization and phase change depresses the melt pool. The co-existence of a downward flow due to recoil pressure and the additional laser energy absorption due to laser reflections causes a runaway effect, transitioning the melt pool into a keyhole. Eventually, due to the varying temperature along the keyhole wall, surface tension forces cause the wall to pinch off and result in voids that can get trapped by the advancing solidification front, resulting in porosity. FLOW-3D AM has all the necessary physics models to simulate keyholing and porosity formation in laser powder bed fusion processes.

Scan Strategy

Scan strategies have a direct impact on microstructure due to their influence on temperature gradients and cooling rates. Researchers are using FLOW-3D AM to explore optimal scan strategies to understand the remelting that occurs between tracks which can influence defect formation and the microstructure of the solidified metal. FLOW-3D AM gives full flexibility in the implementation of time-dependent directional velocities for one or multiple lasers.

Beam Shaping

In addition to laser power and scan strategy, the laser beam shape and heat flux distribution have a large influence on the melt-pool dynamics in an LPBF process. AM machine makers are exploring the use of multi-core and arbitrary-shaped laser beams on process stability and throughput. FLOW-3D AM allows for the implementation of multi-core and arbitrary shaped beam profiles, helping provide insights into the best configurations for increasing production and improving part quality.

For an in-depth look at some of the work that has been done in this area, watch our “The Next Frontier of Metal AM” webinar.

Multi-material Powder Bed Fusion

In this simulation, the stainless steel and aluminum powders have independently-defined temperature dependent material properties that FLOW-3D AM tracks to accurately capture the melt pool dynamics. The simulation helps with understanding material mixing in the melt pool.

Investigation of metal mixing in laser keyhole welding of dissimilar metals

Researchers from GM and University of Utah used FLOW-3D WELD to understand mixing of dissimilar metals through laser keyhole welding. They looked at the effect of laser power and scan speed on the mixing concentration of copper and aluminum as it relates to recoil pressure and Marangoni convection. They compared simulations with experimental results and found good agreement between material concentrations at cut cross sections within the samples.

Multi-Metal Fusion Multi-metal fusion

Reference: Wenkang Huang, Hongliang Wang, Teresa Rinker, Wenda Tan, Investigation of metal mixing in laser keyhole welding of dissimilar metals, Materials & Design, Volume 195, (2020). https://doi.org/10.1016/j.matdes.2020.109056

Microstructure Prediction

FLOW-3D AM data such as cooling rates and temperature gradients can be input into microstructure models to predict the crystal growth and dendrite arm spacing. 

Modeling of heat transfer, fluid flow and solidification microstructure of nickel-base superalloy fabricated by laser powder bed fusion

Researchers from Ohio State University extracted thermal gradients and cooling rate data from appropriate locations of the melt pool and the solidus/liquidus interface to predict microstructure evolution in nickel based superalloys.

Microstructure Prediction

Reference: Y.S. Lee and W. Zhang, Modeling of heat transfer, fluid flow and solidification microstructure of nickel-base superalloy fabricated by laser powder bed fusion, S2214-8604(16)30087-2, doi.org/10.1016/j.addma.2016.05.003, ADDMA 86.

Thermal Stresses

Results from a FLOW-3D AM simulation can be input into FEA software such as ABAQUS or MSC NASTRAN to run further thermal stress analysis. Here, you can see how results from a laser welding simulation of a T-joint are imported into ABAQUS for further stress analysis. Similarly, results from the solidified melt pool data in an LPBF simulation can be used to study thermal stress and distortion analyses in other FEA software.

High-fidelity modeling of thermal stress for additive manufacturing by linking thermal-fluid and mechanical models

Researchers at National University of Singapore and NUS Research Institute used thermal-fluid modeling with FLOW-3D to model laser powder bed fusion processes and extracted temperature data which was then input into mechanical models to analyze residual stress concentrations. The coupled CFD-FEM model provided insights into the processing parameters which would lead to mechanical failures such as cracking and porosity that correlated with locations of high tensile stress. These simulations were carried out for different laser powers and scan speeds over multiple layers.

Thermal Fluid ModelThermal Fluid Simulation

Reference: Fan Chen, Wentao Yan, High-fidelity modeling of thermal stress for additive manufacturing by linking thermal-fluid and mechanical models, Materials & Design, Volume 196, (2020). https://doi.org/10.1016/j.matdes.2020.109185

Directed Energy Deposition

Directed Energy Deposition (DED) is an additive manufacturing process that builds parts by depositing either a wire or powder that is heated and fused together using an energy source such as a laser or an electron beam. FLOW-3D AM can simulate the DED process by accounting for process parameters such as powder or wire feed rates and size characteristics, and laser power and scan speeds. Additionally, a multi-material DED process can be simulated by defining independent thermophysical material properties for different alloys in the substrate and the powder material. 

With the implementation of laser physics as well as heat transfer, solidification, surface tension, shield gas effects, and pressure effects including recoil pressure, researchers can accurately analyze the effects of process parameters on the strength and uniformity of the resulting weld bead. Additionally, these simulations can be extended to multiple layers to analyze fusion between subsequent layers. 

Powder Based DED

Powder-based DED is a highly accurate and controllable method for depositing powders to make 3D parts layer by layer.With this flexibility comes a wide variety of process parameters to consider when choosing process parameters to optimize production and reduce material waste. FLOW-3D AM allows for full consideration of powder composition (up to two different materials), catchment efficiencies, build directions and laser and substrate orientation.

Wire Based DED

Wire-based DED tends to have higher throughput and less waste than powder-based DED, but there is less flexibility in terms of material composition and deposition orientations. FLOW-3D AM is useful for understanding the processing windows for wire-based DED and allows for optimization studies to find the best processing parameters such as wire feed rate and diameter for a build.

Wire Powder Based DED

Some researchers are looking into hybrid wire powder-based DED systems which open a wider range of processing conditions for building parts. As an example, this simulation is looking at a hybrid system with variable powder and wire feed rates.

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