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For predicting indoor thermal environments, Computational Fluid Dynamic (CFD) analysis is a candidate approach. The CFD analysis of steady phenomena is verified to serve as an effective prediction method through comparison analyses between actual measurements and analysis results. Environment prediction in transient phenomena is considered necessary to realize more detailed thermal environment design. Transient CFD analysis requires coupled analysis of wall heat conduction, long-wavelength radiation, and convection, considering wall heat capacity. It is possible even with the present...
This talk will focus on the five steps necessary to drive more product innovation through CAE. These steps include: Parametric creation of CAx models Process automation Implementing scalable computation Driving efficient design exploration Evaluating optimal design sensitivity and robustness These steps will be illustrated through the use of the Optimate and HEEDS product lines.
The most common simulation for electronics products involves predicting the system temperature under the chosen cooling methodology. This presentation will overview the primary best practices for thermal simulation of electronics models. Specific techniques in STAR-CCM+ will be addressed covering the entire CAD-to-results process including geometry preparation, meshing, physics setup, conditions, and solution settings on models with hundreds of components. Both forced and natural cooling simulations involving conduction, convection, and radiation will be examined in the detailed tips and...
STAR-CCM+ has been providing a high level multiphase model with melting/solidification capabilities which contain appropriate viscosity models to account for the influence of the solidification on the melt flow, and allows defect prediction such as air entrainment and misruns. In addition, add-on module STAR-Cast contains material database for various kinds of alloys and shell generation tool for investment casting and it provides high-fidelity casting simulation toolset to model a series of casting processes. Some of examples will be introduced with demonstration.
Granular materials are of critical importance in many industrial processes. We make use of STAR-CCM+ DEM model for granular material’s behavioral analysis as well as for solving engineering problems. In this report the results of a channel blockage simulation of granular flow in a pipe is discussed. We found good consistency between the simulations and the data in our hands.
During the last two decades, combustion models and application for internal combustion engine was mainly developed using a single component fuel. When the situation allows it, this component could be a pure substance like a pure iso-octane or a representative single component for blended fuels. In theory, the single component should represent all the physical and chemical properties of the blended fuel. Although this approach appears relatively rough it has successfully applied to engine application. Recent regulation to reduce fuel consumption and emission, the use of bio-fuel (presence of...
Presentation includes the overview of DEM capabilities in STAR-CCM+ and examples with analysis of DEM and DEM coupled to CFD simulations for Chemical Processing Industry.
A flash boiling phenomenon differs from the normal evaporation (isobaric heating) and where a rapid evaporation occurs due to rapid pressure drop under saturation pressure condition. This report explains the physical process of flash boiling phenomenon for single component fuel and further describes the evaporation enhancement effect when multicomponent fuel is applied. The fuel for normal engines is multicomponent fuel and when mixing fuel components, which have largely different boiling temperatures, two phases region is formed on the pressure-temperature diagram. This allows evaporation...
The evolution of nuclear reactor design is being greatly influenced by the availability of new, versatile next-generation tools. Multi-physics analysis of nuclear reactor systems is pushing the operational limits of reactors and fuel, with large impact on the economics of the plants, while simultaneously improving the safety standards. Computational Fluid Dynamics, used in combination with neutronics, structural, material performance and system analysis tools, has enabled nuclear operators and vendors to greatly enhance the capacity and availability of current reactors. The increased adoption...
We have been expanding our application coverage for reacting flows that requires coupling of chemistry and flow physics that span a wide-range of length and time scales. We capture these interactions by using a combination of online as well as offline computation using our chemistry tool called DARS to incorporate finite-rate chemistry effects while keeping the computational cost manageable. These models have been extended to work in multi-phase as well as with high-speed flows. Examples from chemical process and combustion applications will be shown that will include surface reactions, multi...

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