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Michael E. Mueller
Princeton University
CombustionLarge eddy simulationChemistryTurbulenceSoot
99Publications
17H-index
844Citations
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Publications 110
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#1Jinyoung Lee (Princeton University)
#1Jinyoung LeeH-Index: 12
Last. Michael E. MuellerH-Index: 17
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Abstract In turbulent premixed flames at low Karlovitz number, combustion heat release can have a significant impact on turbulence. Thermal expansion in flame induces dilatation, and the corresponding pressure–dilatation correlation acts as a primary source of turbulent kinetic energy (TKE). As a consequence, the flame-normal component of the normal Reynolds stresses significantly increases. Additionally, for sheared flames, typical of jet flames, the shear component of the Reynolds stresses exh...
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Abstract Turbulent combustion models can be divided into two broad classes: models that make no assumption about the underlying combustion processes and models that constrain the underlying combustion processes to some a priori presumed reduced-order manifold. The former class of models, including the Transported PDF (TPDF) approach and the Linear Eddy Model (LEM), is by nature more general but comes at increased computational cost. The latter class of models, including “flamelet”-like models an...
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#1Temistocle Grenga (RWTH Aachen University)H-Index: 4
#1T. Grenga (RWTH Aachen University)
Last. M. E. Mueller (Princeton University)
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Dynamic Mode Decomposition (DMD) is able to decompose flow field data into coherent modes and determine their oscillatory frequencies and growth/decay rates, allowing for the investigation of unsteady and dynamic phenomena unlike conventional statistical analyses. The decomposition can be applied for the analysis of data having a broad range of temporal and spatial scales since it identifies structures that characterize the physical phenomena independently from their energy content. In this work...
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#1Suo Yang (Princeton University)H-Index: 12
#2Jeffry K. Lew (Princeton University)
Last. Michael E. Mueller (Princeton University)H-Index: 17
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Abstract In turbulent reacting flows, soot evolution is strongly influenced by small-scale soot–turbulence–chemistry interactions. Specifically, soot is formed during combustion of fuel-rich mixtures and, in non-smoking flames, is rapidly oxidized at slightly fuel-rich mixtures before being transported by turbulence into fuel-lean mixtures. Furthermore, different soot evolution mechanisms are dominant over distinct regions of mixture fraction. For these reasons, a new subfilter PDF is proposed t...
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#1Alex G. Novoselov (Princeton University)H-Index: 1
#2Christopher B. Reuter (Princeton University)H-Index: 8
Last. Michael E. Mueller (Princeton University)H-Index: 17
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Abstract Turbulence, low-temperature chemistry, and their interactions in the form of turbulent cool flames are critical to understanding and improving advanced engines. Design of such engines requires tractable simulations which in turn necessitate turbulent combustion models that can account for cool flames. While manifold-based turbulent combustion models are an attractive option for hot flames, their applicability to cool flames is not yet fully understood. This is partially due to the lack ...
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