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Simulation for safe and reliable oil and gas operations and maintenance
Ensuring safety during production and maintenance is critical to the oil and gas industry, while operational reliability and production assurance are key to operating a successful oil and gas production facility. This event will explore the role of simulation in two aspects of oil and gas, maintenance and production operations. We will have two presentations: Simulation Engineering: A Virtual Blow-Out Preventer Alistair Gill, Vice President (Advanced Engineering) Wild Well Control, will present how his team uses simulation of pipe freezing to assess how to perform safe mechanical repairs to...
WLTPガイドライン達成のための 車両空力シミュレーションと設計探査の活用ウェビナー
燃費およびCO2排出量測定の新しい試験法への移行に伴い、国連によって新たな「乗用車等 の国際調和排出ガス・燃費試験法(WLTP)」が策定されました。WLTPの狙いは、現実の走行 実態をより正確に反映し、全世界で排ガス試験の調和を図ることにあります。この新しい試験 法は2017年に始まり、全面移行の2018年まで段階を経て導入されます。 WLTPの主なインパクトの一つは、燃費と排出ガスの算出が車体、エンジン、トランスミッショ ンのみに焦点を当てたものではないというところにあります。設計者は、特別な仕様やそれら オプションの追加による重量の変更まで考慮に入れる必要があります。具体的に車両空力特性に 関しては、ベースラインとなる車両構成だけでなくすべての構成を考慮しなければならないため、 設計や試験により高い負荷がかかります。 本ウェビナーでは、このような負荷、コスト、ターンアラウンドタイムを低減する方法をご紹介 いたします。メーカーが、実形状のデジタルツインを活用して現実世界の試験条件をシミュレー トすることで、どのように燃費や排出ガスを予測すれば良いか、また車両を新しい基準に合わせ て最適化し、試作の前段階で厳しい環境規制を現実的に満たすことが可能となるかをご紹介いた します。 また、車両空力におけるCFDの現状を検証し、現実的にコスト効率を考慮しながら...
As an effect of globalization, the patent life of newly discovered drugs has decreased considerably, forcing manufacturers to minimize drug development time as well as maximize throughput. To achieve this, existing manufacturing processes need to be upgraded, and new approaches and methodologies developed. Simulation applying CFD and optimization is an ideal tool to investigate such concepts early in the design phase, tying it into the Product Life Cycle Management Process – and thus avoiding costly troubleshooting exercises later. What are the trends and developments when it comes to Lyophilization? Are the simulation methods and tools for this technology ready for prime time? Alina Alexeenko, Professor for Aero and Astronautics at Purdue University and the Co-Director of LyoHUB, was able to answer these questions for us.
电动汽车锂电池热管理先进技术网络研讨会
时间:2017年6月7日下午3:00-4:00 费用:免费(需事先注册) 语言:中文 注册方法: 希望参加本Webinar的客户,请从本页面的注册窗口进行注册。 由于日趋严格的政府法规、成本降低(每千瓦时的成本)、以及客户强烈的需求,汽车制造商正面临着最大的行业突变。 本次研讨会将带领大家看一下不同层次的仿真(1D和3D系统)如何帮助设计人员进行电池和电池包热管理系统虚拟研发设计。 我们的技术专家将展示最新的技术以及在前进的道路上所面临的障碍。演讲内容和演示将专注于电池包的冷却解决方案,以确保高性能和长寿命,同时平衡整体重量等其他相关问题。 最后在我们的Q&A环节,我们的技术专家将回答大家所关心的问题。
Discover the secret of covering multiple regimes in a single simulation
Traditional multiphase flow models such as the Volume of Fluid method (VOF) and Eulerian Multiphase (EMP) embed assumptions about the nature of the flow being modeled , limiting their applicability to a single regime ( type of interaction). Real-world applications often contain more than one regime, spray or foam forming next to a free surface, or a component being coated with a film when being taken out of a bath of liquid. These applications traditionally had to be modeled with multiphase models incapable of capturing many important features, making for some difficult choices and...
Introduction of STAR-ICE opens up new in-cylinder simulation possibilities
This On-Demand webinar is an introduction to STAR-ICE, the exciting new add-on to STAR-CCM+ ® for setting up in-cylinder simulations. Due for first release in STAR-CCM+ v12.06, STAR-ICE represents the transition of modeling your in-cylinder simulations from STAR-CD, allowing you to leverage the many powerful benefits of the STAR-CCM+ platform. This exciting early look at the add-on will inform and prepare you for the next chapter of in-cylinder CFD. In this event, we will be covering the following topics: What is STAR-ICE? Transitioning from STAR-CD to STAR-ICE The STAR-ICE workflow...
At any marine conference or workshop, you will hear many topics being debated: validation and accuracy of CFD predictions, best practices in simulation, the latest industry regulations affecting ship design and many more. One topic that always gets engineers talking and arguing is whether to run your CFD simulations at model scale or full ship scale. There are benefits and drawbacks to both approaches. Running at model scale means the result can be easily validated by comparison with towing tank data before running new analyses. The model scale results can then be transformed to full-scale data using standard semi-empirical scaling up procedures. However, this approach can introduce uncertainties as the scaling methods may not be suitable for new or unusual geometries or running conditions. This is one of the reasons why ship designers are reluctant to change anything in their designs for which they have collected operational data and know the performance. Running CFD simulation at full-scale may require a higher grid resolution to accurately capture aft end flow especially when appendages are present, but removes the possible errors from the semi-empirical scaling methods.
시뮬레이션을 통한 SCR 시스템의 성능 최적화
선택적 환원 촉매 (Selective Catalytic Reduction, SCR)는 디젤 엔진에서 까다로운 질소 산화물(NOx) 배출 요건을 충족하는데 널리 사용되고 있습니다. SCR 장치에서의 배기 가스와 분무된 요소수의 빠른 혼합 및 높은 암모니아 균일성을 포함하여 효율적인 SCR 시스템을 설계하는 데 필요한 다수의 중요한 기준이 있습니다. 그러나 시스템의 수명과 성능을 위협하는 한가지 문제점은 고형의 요소 침전물 형성입니다. 침전물은 배압과 재료의 열화를 발생시켜 엔진과 SCR 장치의 배기 성능을 저하시킵니다. SCR 장치의 설계 최적화를 위해 시뮬레이션을 사용하면 엔지니어는 배출 기준을 준수하기 위한 필요한 NOx와 침전물 감소를 개선할 수 있습니다. 이번 동영상에서는 SCR 장치의 전반적인 정확도와 계산을 향상하는 새로운 모델링 기술에 대해 설명합니다. 발표자는 CFD를 사용해 엔지니어들이 기체-액체 상태, 난류 유동장, 배기 시스템의 고온 표면과 침전물 형성에 미치는 영향 사이의 복잡한 상호작용에 대한 이해를 높이기 위한 방법을 보여드릴 예정입니다.
Improving Operations: Coupling DEM and CFD to Optimize Particulate Flows
To produce products at the lowest possible cost and high quality while meeting safety requirements, companies in the chemical and mineral processing industries must optimize all elements of their operations to stay competitive. Handling equipment such as pneumatic conveyors, hoppers, chutes and belt conveyors is used for the transport of particles. Processing equipment such as cyclone separators, calciners, dryers and coaters are used for various unit operations. Process engineers need to take into consideration not only the flow of particles but also that of a carrier fluid. The intricate...
仿真驱动新能源汽车动力总成创新设计
时间:2017年5月17日下午3:00-4:00 费用:免费(需事先注册) 语言:中文 注册方法: 希望参加本Webinar的客户,请从本页面的注册窗口进行注册。 全球化、人口结构转型和气候变化的大趋势,将影响未来流动性。在城市化进程中,车辆设计需要提高安全性,效率,以确保经济竞争力和环境的可持续性。为了支持这种可持续发展,仿真技术是建立高效的新能源交通解决方案的基础。 Siemens PLM Software提供了一系列改善新能源汽车动力总成设计的技术和产品线。本次在线研讨会将通过各种仿真工具联合分析,展示端到终端的解决方案。具体内容包括: 应用多物理场仿真及优化的整体解决方案进行电机设计:通过SPEED完成电机电磁设计,SPEED和STAR-CCM+联合进行电机温度场分析及电磁应力分析,STAR-CCM+和噪声分析工具联合进行电机的噪声分析。通过SPEED和HEEDS,对电机设计进行优化探索,提高电机的效率,降低成本。 锂电池设计及电池包热管理分析:BDS+,BSM+和STAR-CCM+对电池包温度场进行准确的分析。BDS和HEEDS对电芯设计进行优化,提高电芯的功率密度,降低成本。同时,BSM+,STAR-CCM+和HEEDS对电池包设计进行优化,提高电池温度一致性,降低冷却管路压降。本解决方案,着眼于电池设计,以提高能源密度材料和寿命成本的具体要求;并聚焦冷却系统设计,...

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