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Recent progress in simulation methods for the manufacturing industry has reduced the need for expensive test hardware which could be used free of charge in manufacturing. Using manufacturing simulation tools starting at the design stage helps to optimize product development and corresponding manufacturing systems. Whenever there is the need for an early design input in order to ensure quality and manufacturing costs virtual manufacturing methods will have a profitable chance. For the case study "E-Coat Simulation" STAR-CCM provides an improved workflow from CAD-data and meshing to E-coat...
STAR-CCM+ is widely used in the global aerospace and defense industries due to its advanced capabilities in the field of numerical simulation as part of the overall CAE process. This presentation will highlight some specific modeling capabilities in relation to various engineering application areas in the aerospace and defense industry and discuss how simulation tools are evolving rapidly to meet the most demanding engineering requirements.
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...
STAR-CCM+ is considered the market leader in simulation of flow and motion of floating bodies within the marine and offshore industry. In this presentation examples of applications by customers are used to highlight the individual features of STAR-CCM+ and to prove the benefits of simulation. This is followed by presenting the new features that are currently under development and targeting specifically marine and offshore applications, e.g.: extensions of motion modeling to allow various combinations of prescribed and free motion (like PMM-tests), extension of cavitation model, internal wave...
New capabilities in modeling multiphase flows using the Eulerian Multiphase (EMP) model are demonstrated by examples. These new capabilities include granular model for multi-size particle flows, RSM for turbulent multiphase flows, multi-component boiling model for evaporation of chemical species and the Adaptive-MUSIG (A-MUSIG) population balance model for poly-dispersed flows.
An overview is presented of key methodologies in STAR-CCM+ and STAR-CD for simulating disperse multiphase flows involving droplets, solid particles and/or liquid films, including: atomisation; particle dynamics and heat/mass transfer; wall impact and erosion; and liquid film dynamics, heat/mass transfer and melting/solidification. Examples are shown of validation studies and applications in the aerospace, automotive, oil/gas and manufacturing and medical fields.
The presentation describes the evolution of features made available in recent releases and new capabilities that will be available within the forthcoming v4.22 release and their application to in-cylinder engine calculations. These include: Further development of combustion models including dual-fuel combustion such as diesel-natural gas; Support for 3rd party chemistry within the advanced ECFM and PVM-MF combustion models; Crank-angle resolved Conjugate Heat Transfer (CHT) analysis and automated meshing using STAR-CCM+.
Discrete Element Method in STAR-CCM+ allows modeling solid handling and processing applications with or without coupling to fluid flow. This presentation reviews the DEM capabilities in STAR-CCM+. Latest DEM capabilities and enhancements, including coupling with Passive Scalar field and improved DEM performance, are illustrated and discussed. The results of example Fluidized Bed simulation using scaled particle approach are discussed in details.
From bridges made of pasta, to 'grow-it-yourself' brains, Brigid looks behind the headlines to bring you the latest Engineering News.
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.

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