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回転機械の熱流体シミュレーション
本ウェビナーは回転機械を解析対象とし、STAR-CCM+の一般的な回転機械解析に使用する物理モデル、メッシュ作成機能を紹介します。 また検証ケースを紹介し、ポリヘドラルメッシュの優位性や実験値との比較を行い、精度の高い回転機械解析を示します。 検証ケースでは主に共役熱伝達計算(CHT計算)を題材とし、タービン翼冷却のケースを紹介します。
STAR-CCM+を活用した電子機器の熱設計事例
電子機器の高機能化・高性能化に伴い、製品設計段階における熱設計は、ますます重要となっています。 STAR-CCM+は自動車や航空機産業での活用で培われた、多くの技術やノウハウを蓄積しており、そこで導入された複雑なジオメトリの取り扱いや熱流体解析の様々な機能は、電子機器の熱設計のためのシミュレーションで必要な要素を十分にカバーしています。 本ウェビナーでは、STAR-CCM+を活用した電子機器の熱設計シミュレーションのキーとなる各機能のご紹介と、具体的な製品設計でのシミュレーション事例をご紹介します。
It always happens at the last minute. My simulations have been run and converged and are ready to be presented for tomorrow morning's board meeting. Then it happens... I try to create a plot of the temperature variation along a line in my STAR-CCM+ simulation 5 minutes before the end of my day and I find my data is scattered all over the place! There's no way I could possibly present this result! Argh!!! Thankfully, my buddy "Steve" came to the rescue. Now if you've never been introduced to Steve, you are missing out! Steve is the "go-to" guy whenever you are having difficulties setting up or...
B-Wageningen screw series is one of the oldest propellers. Due to its simplicity is one of the most frequently used. With several polynomials describing it we could create new marine propeller. If someone fell into in the twenty-first century to use the latest technology and software cad / cam we can create a parametric 3D geometric model of the screw. Then we performed CFD studies and see how it behaves in a stream of water, and find the right parameters for a given screw ship contracted speed. In work I will try to improve that CFD calculation it’s equal to B-Wageningen hydrodynamics series...
An analytical study on air flow effects and resulting dynamics on the PACE Formula 1 race car is presented. The study incorporates Computational Fluid Dynamic analysis and simulation to maximize down force and minimize drag during high speed maneuvers of the race car. Using Star CCM+ software and mentoring provided by CD – Adapco, the simulation employs efficient meshing techniques and realistic loading conditions to understand down force on front and rear wing portions of the car as well as drag created by all exterior surfaces. Wing and external surface loading under high velocity runs of...
Aim: To analyze the influence of the needle type, insertion depth, and irrigant flow rate on irrigant flow pattern, flow velocity, and apical pressure by ex-vivo based endodontic irrigation computational fluid dynamics (CFD) analysis. Methods: Human upper canine root canal was prepared using rotary files. Contrast fluid was introduced in the root canal and scanned by computed tomography (CT) providing a three-dimensional object that was exported to the computer-assisted design (CAD) software. Two probe points were established in the apical portion of the root canal model for flow velocity and...
This paper presents a CFD model for predicting solid particle distribution in a stirred tank. The tank is operated at the “just suspended” condition, which is difficult to model due to the high variation of solid concentration within the vessel. The concentration of solid particles is high near the base of the vessel and low at the top near the free surface. The ability to predict the “just suspended”condition is very important in industrial applications as it determines the lowest power input necessary to suspend the solid particles.In this work the Eulerian Multiphase Model implemented in...
In this paper, experimental data of solid distributions in horizontal pipelines were modelled using CFD and Discrete Element Method (DEM). Experimental data were taken from Gilles et al. (2004), Roco et al. (1983) and Hill (1996) for pipe diameter in the range from 51 mm to 103 mm, the average sand particle size from 90 m to 4400 m and average solid volume fraction from 0.092 to 0.21.Two CFD models available in STAR-CCM+ for Eulerian multiphase flows were used, the simple solid pressure model that uses the exponential formula for the solid pressure force and more sophisticated model based...
Nature's Answer to Meshing: How is it that honeybees (average brain size 1g) manage to outmesh those CFD engineers (average brain size 1250g) who still religiously rely on tetrahedral meshing? The answer is obviously not that bees are more intelligent than engineers (although there are a few notable exceptions). Whereas CFD and associated meshing technology has been around for just 40 years, bees benefit from several billion years of evolution. From a purely evolutionary viewpoint, the hexagonal structure of the honeycomb is the endpoint of an exercise in energy optimization. The walls of...
How is it that honeybees (average brain size 1g) manage to outmesh those CFD engineers (average brain size 1250g) who still religiously rely on tetrahedral meshing? The answer is obviously not that bees are more intelligent than engineers (although there are a few notable exceptions). Whereas CFD and associated meshing technology has been around for just 40 years, bees benefit from several billion years of evolution.

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