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Unsteady Disposable Flow Tracking Using Discrete Phase Model

Heat Transfer Engineering, 2021
Thermosetting materials are commonly used as an insulative material in medium- and high-voltage applications. Production of large volume elements is causing several problems related to a mold filling or an exothermic polymerization reaction, which may ...
M. Zielińska, A. Sitko
semanticscholar   +2 more sources

Comparative CFD modeling of a bubbling bed using a Eulerian–Eulerian two-fluid model (TFM) and a Eulerian-Lagrangian dense discrete phase model (DDPM)

, 2021
Eulerian–Eulerian and Eulerian-Lagrangian numerical approaches are both widely used to investigate hydrodynamic behavior in dense gas-solid fluidized bed reactors, yet there has been a lack of comparative investigations involving the two.
Muhammad Adnan   +3 more
semanticscholar   +1 more source

Comparative study of two fluid model and dense discrete phase model for simulations of gas–solid hydrodynamics in circulating fluidized beds

, 2021
Computational fluid dynamics (CFD) has become a valuable tool to study the complex gas–solid hydrodynamics in the circulating fluidized bed (CFB). Based on the two fluid model (TFM) under the Eulerian–Eulerian framework and the dense discrete phase model
Ying Wu   +4 more
semanticscholar   +1 more source

A Discrete Convolution Model¶for Phase Transitions

Archive for Rational Mechanics and Analysis, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bates, Peter W., Chmaj, Adam
openaire   +2 more sources

Computational fluid dynamics simulations of snow accumulation on infrared detection sensors using discrete phase model

, 2020
Snow accumulation during winters poses significant challenges to realization of engineering applications, such as operation of infrared detection sensors.
Y. Tominaga   +4 more
semanticscholar   +1 more source

Discrete models for structural phase transitions

AIP Conference Proceedings, 2008
In this paper we study structural phase transitions from a microstructural viewpoint. The dynamic aspects of microstructure evolution is most easily studied in a discrete system. We begin by studying phase transitions in a discrete one dimensional system.
Srikanth Vedantam   +4 more
openaire   +1 more source

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