Spelling suggestions: "subject:"concentric"" "subject:"pericentric""
1 |
A CAD-centric Approach to CFD Analysis With Discrete FeaturesKing, Matthew Lee 24 October 2004 (has links) (PDF)
During the conceptual design stage several concepts are generated, and a few are selected for detailed analyses. CAD models from conceptual design often follow the "over-the-wall" approach for downstream analyses such as FEA, CFD, heat transfer, and vibrations. A CAD-centric approach will be applied to the CAD-to-CFD process to help industry in an ongoing quest to shorten the design cycle time. The CAD-centric approach consists of using the CAD model as a source of data for downstream applications such as mesh generation, and CFD setup. The CAD model used in the CAD-centric approach contains the geometry to be analyzed and non-geometric data required to solve the CFD problem in the form of attributes. Attributes can be associated to entities of the geometry such as the faces, edges, and volumes. Any operations changing geometry require the CAD-centric model be reworked. One class of topology alterations is the discrete feature problem that is encountered when an array of features change in number. A method is proposed, developed and reported on that adapts the CAD-centric approach to account for discrete feature changes that occur during preliminary design.
|
2 |
Parametric Optimization Design System for a Fluid Domain AssemblyFisher, Matthew Jackson 22 April 2008 (has links) (PDF)
Automated solid modeling, integrated with computational fluid dynamics (CFD) and optimization of a 3D jet turbine engine has never been accomplished. This is due mainly to the computational power required, and the lack of associative parametric modeling tools and techniques necessary to adjust and optimize the design. As an example, the fluid domain of a simple household fan with three blades may contain 500,000 elements per blade passage. Therefore, a complete turbine engine that includes many stages, with sets of thirty or more blades each, will have hundreds of millions of elements. The fluid domains associated with each blade creates a nearly incomprehensible challenge. One method of organizing and passing geometric and non-geometric data is through the utilization of knowledge based engineering (KBE). The focus of this thesis will be the development of a set of techniques utilizing KBE principles to analyze an assembly which includes multiple fluid domains. This comprehensive system will be referred to as the Parametric Optimization Design System (PODS).
|
Page generated in 0.0595 seconds