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Proceedings of CAD'14, 2014, 201-203
Automatic Detection of Geometric Features in CAD Models by Characteristics

Peter Chow, Tetsuyuki Kubota, Serban Georgescu, Fujitsu Laboratories of Europe Ltd, UK

Abstract. Since the introduction of computer for product design and development, computer-aided design (CAD) and computer-aided engineering (CAE), the time for design and simulation process is decreasing as computing performance increases.  This is good news in time-to-market of product and saves on physical prototypes.  Today, products are design and simulation validated in virtual space before fabrication in physical space.  In the case of electronic products, the common simulations are: structural analysis, electromagnetic and thermal-fluid cooling.  A major bottleneck to scalability (continue to decrease in time) in this process as computer performance continues to grow exponentially, is the CAD-to-CAE model preparation (CCMP) stage.  The end result from the design stage is a CAD model that needs to be processed to create a model suitable for CAE stage.  Using CAD model directly is possible but comes at high computational costs and long solution time.  The common practice is to add a simplification process at the CCMP stage; this reduces the CAD model features relevant for the class of simulation without comprising solution accuracy.  This results in big efficiency improvements in all downstream applications such as meshing and solving system of equations required for simulation.  Figure 1 highlights the simplification process required of a server model for thermal-fluid cooling analysis, from the original CAD model to a simplified CAD model for CAE.  The time given for each phase is time required for manual simplification.  Automation need to be introduced in this process to scale with computer performance increase. 

Keywords. Feature detection, model simplification, Computer-Aid Engineering, CAD-to-CAE

DOI: 10.14733/cadconfP.2014.201-203