Adaptive mesh based combustion simulations of direct fuel injection effects in a supersonic cavity flame-holder

Sitaraman, Hariswaran; Yellapantula, Shashank; Frahan, Marc Henry de; Perry, Barbara; Rood, Jon; Grout, Ray; Day, Marcus S.

doi:10.1016/j.combustflame.2021.111531

Cited by 38 publications

(12 citation statements)

References 25 publications

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“…AMReX is performance portable software library that enables development of application solvers with block-structured Cartesian AMR and has support for solver development on many different architectures, such as CPU and GPU accelerator hardware (NVIDIA, AMD, Intel). 144 Consequently, AMReX has been used as a foundation for application codes pertaining to combustion 150 and multiphase flows. 151 Our tool can represent complex catalyst and biogenic geometries, chemical species transport, reactions, and thermodynamics that are essential for capturing mesoscale physics.…”

Section: ■ Mesoscale Modeling Methodsmentioning

confidence: 99%

Bridging Scales in Bioenergy and Catalysis: A Review of Mesoscale Modeling Applications, Methods, and Future Directions

et al. 2021

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Between the molecular and reactor scales, which are familiar to the chemical engineering community, lies an intermediate regime, here termed the “mesoscale,” where transport phenomena and reaction kinetics compete on similar time scales. Bioenergy and catalytic processes offer particularly important examples of mesoscale phenomena owing to their multiphase nature and the complex, highly variable porosity characteristic of biomass and many structured catalysts. In this review, we overview applications and methods central to mesoscale modeling as they apply to reaction engineering of biomass conversion and catalytic processing. A brief historical perspective is offered to put recent advances in context. Applications of mesoscale modeling are described, and several specific examples from biomass pyrolysis and catalytic upgrading of bioderived intermediates are highlighted. Methods including reduced order modeling, finite element and finite volume approaches, geometry construction and import, and visualization of simulation results are described; in each category, recent advances, current limitations, and areas for future development are presented. Owing to improved access to high-performance computational resources, advances in algorithm development, and sustained interest in reaction engineering to sustainably meet societal needs, we conclude that a significant upsurge in mesoscale modeling capabilities is on the horizon that will accelerate design, deployment, and optimization of new bioenergy and catalytic technologies.

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Section: ■ Mesoscale Modeling Methodsmentioning

confidence: 99%

Bridging Scales in Bioenergy and Catalysis: A Review of Mesoscale Modeling Applications, Methods, and Future Directions

et al. 2021

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“…CFD-DEM solver, MFiX-Exa [19,20], that leverages software library, AMReX [21], is used in this work. AMReX is a performance portable library specifically tailored towards massively parallel, block-structured adaptivemesh-refinment (AMR) based applications and has been actively employed in several recent scalable frameworks in combustion [22], wind [23] and astrophysics [24]. The equations for gas-phase mass and momentum are solved in the incompressible form for the fluid update while the particle position, translational and angular velocities are updated using Newton's laws of motion.…”

Section: Numerical Methods and Algorithmsmentioning

confidence: 99%

Performance comparison of CFD-DEM solver MFiX-Exa, on GPUs and CPUs

Lao¹,

Holt²,

Vaidhynathan³

et al. 2021

Preprint

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We present computational performance comparisons of gas-solid simulations performed on current CPU and GPU architectures using MFiX Exa, a CFD-DEM solver that leverages hybrid CPU+GPU parallelism. A representative fluidized bed simulation with varying particle numbers from 2 to 67 million is used to compare serial and parallel performance. A single GPU was observed to be about 10 times faster compared to a single CPU core. The use of 3 GPUs on a single compute node was observed to be 4x faster than using all 64 CPU cores. We also observed that using an error controlled adaptive time stepping scheme for particle advance provided a consistent 4x speedup on both CPUs and GPUs. Weak scaling results indicate superior parallel efficiencies when using GPUs compared to CPUs for the problem sizes studied in this work.

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“…For compressible flows, the following conservation equations for mass, species mass fractions, momentum, and energy with a finite rate evaluation of chemistry are solved [11]:…”

Section: Compressible Reacting Flowsmentioning

confidence: 99%

A Weighted State Redistribution Algorithm for Embedded Boundary Grids

Giuliani,

Almgren,

Bell

et al. 2021

Preprint

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State redistribution is an algorithm that stabilizes cut cells for embedded boundary grid methods. This work extends the earlier algorithm in several important ways. First, state redistribution is extended to three spatial dimensions. Second, we discuss several algorithmic changes and improvements motivated by the more complicated cut cell geometries that can occur in higher dimensions. In particular, we introduce a weighted version with less dissipation. Third, we demonstrate that state redistribution can also stabilize a solution update that includes both advective and diffusive contributions. The stabilization algorithm is shown to be effective for incompressible as well as compressible reacting flows. Finally, we discuss the implementation of the algorithm for several exascale-ready simulation codes based on AMReX, demonstrating ease of use in combination with domain decomposition, hybrid parallelism and complex physics.

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Adaptive mesh based combustion simulations of direct fuel injection effects in a supersonic cavity flame-holder

Cited by 38 publications

References 25 publications

Bridging Scales in Bioenergy and Catalysis: A Review of Mesoscale Modeling Applications, Methods, and Future Directions

Bridging Scales in Bioenergy and Catalysis: A Review of Mesoscale Modeling Applications, Methods, and Future Directions

Performance comparison of CFD-DEM solver MFiX-Exa, on GPUs and CPUs

A Weighted State Redistribution Algorithm for Embedded Boundary Grids

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