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How to add CFD into a fluid mechanics course
Faculty often want to add computational fluid dynamics (CFD) into their fluid mechanics courses, but don’t know how to make it fit into their already crowded syllabus. In addition, CFD class projects are sometimes limited due to learning curve challenges that involve the creation of geometries and meshing. Are there better ways to teach CFD techniques, especially to undergraduates? Guest Speakers: Tilo Winter, Lecturer, Technische Universität Darmstadt Professor John Cimbala, Pennsylvania State University
Admixtus is the time and cost saving solution for mixing engineers
Poor mixing can result in the loss of millions in investment. Computational Fluid Dynamics (CFD) and Discrete Element Modeling (DEM) simulations are used to answer many unknowns in mixing that cannot be found by analytical or experimental methods. Admixtus, a virtual product development tool that seamlessly integrates with engineering simulation software and automates workflow, can provide engineers the answers to these unknowns. In this webinar we will address three main issues and show how Admixtus can help clear these obstacles: Overcome common hurdles, saving time on geometry setup and...
Desenvolvimento de produtos utilizando exploração de design e engenharia avançada
O momento da engenharia de desenvolvimento de produtos no Brasil é específico e peculiar. Por um lado, o mercado está retomando o crescimento e necessidade de se diferenciar dos concorrentes é iminente. Por outro lado, o cenário recente resultou em redução dos recursos e engenheiros capacitados. A pergunta agora é: como desenvolver um produto inovador que me diferencie dos concorrentes com os poucos recursos existentes da minha empresa? A resposta passa pelo fato de que falta de recursos não se resolve com mais recursos e sim com estratégia. Neste Webinar, os especialistas da Siemens vão...
How simulations improve performance of transmission systems
Transmissions and axles include gears, bearings and shafts to transmit power from the engine to the wheels. Under stress, these parts can become damaged or degrade due to heat caused by friction. With decreased amounts of oil used to reduce churning losses, there is the potential risk of overheating. Simulations can be used to guide oil to critical regions to minimize heat losses and maximize transmission performance. In test rigs, it is difficult to visualize the flow inside the box for optimizing the flow patterns. Through the use of computational fluid dynamics (CFD), the mixture of air...
Driving electric powertrain innovation through simulation
Globalization, demographic transformation, and climate change are megatrends that will impact the future of mobility. Following this urbanization process, vehicles need to improve in safety, efficiency, and range in order to assure economic competitiveness, without forgetting environmental sustainability. To support this sustainable development, simulation technologies are fundamental to create efficient electro mobility solutions. This online event will focus on and demonstrate how simulation tools can be efficiently used together as an end-to-end solution. This webinar will explore:...
STAR-CCM+ v11.06 新機能紹介ウェビナー
本ウェビナーでは、 2016年10月26日に世界同時リリースされたSTAR- CCM+ v11.06の 新 機能 情報について、 下記の 機能 を中心にご 紹介 いたします。 最 新 バージョン v11.06では、v11のテーマである、“ Discover Better Designs, Faster. ”(より良い設計をより早く見つけ出す) に基づき、電子機器冷却ツールセット(E-Cool) の導入をはじめ、主として以下の 機能 追加・ 機能 改良を行っています。 ・E-Cool 電子機器冷却用解析ツールセットE- Coolが 新 しく追加されました。ファン、 ヒートシンクなどの形状作成から熱性能評価までの一貫した解析が できるようになります ・シミュレーションツリー比較 機能 これまで困難であったシミュレーションの設定の違いを簡単に識別 できるようになります ・パーツベースの押出しメッシャー これまでメッシュ連続体でしか利用できなかった押出しメッシャー がパーツベースメッシュでも実施可能になります ・局所サーフェスラッパー 局所的にラッピングサーフェスを生成することにより、 メッシュ生成にかかる時間を大幅に短縮できるようになります ・適応型混合粒径群ポピュレーションバランスモデル(A-MUSIG) 分散相の集合挙動を正確に予測する 新 しいモデルが搭載されました 。...
Redução de custo através de Simulações de Engenharia para a Indústria de Processos e Manipulação de Materiais
Engenharia hoje é uma realidade para todos os parques industriais do país. A engenharia inovadora e de alta tecnologia é uma necessidade para aumentar a competitividade e reduzir custos em um mercado desafiador. Inovação e tecnologia na engenharia é necessário para a empresa manter competitividade, mas não por isto precisa ser algo complexo e caro de ser aplicado. O que tem em comum as indústrias de processos, tais como Papel e Celulose, Químicas, Farmacêutica, Mineração, Grãos, Alimentícia? Todas possuem equipamentos de mistura de materiais sólidos e/ou fluidos, além de equipamentos de...
You’ve been there; we’ve all been there. Can’t sleep in the early morning hours, turn on the TV and bam, there’s an infomercial that touts a product as the do-everything solution you’ve been waiting for your entire life. This isn’t an infomercial. And we’re not offering something that will turn off your lights before you jump into bed or teleport you home ahead of rush hour traffic. But this is something that, as a process engineer, will make your life a whole lot easier. Admixtus is a Virtual Product Development Tool that seamlessly integrates with our industry-leading engineering simulation software tool STAR-CCM+® to create geometries, set up CFD simulations, and carry out analysis of stirred vessels. Admixtus automates your workflow to set up a simulation from CAD geometry to analysis in a few simple steps. Pretty cool, right? Even better, Admixtus is a great tool for students to learn about mixing in industrial scale systems. Perhaps best of all, Admixtus does not have any additional costs associated with it. Check out more on Admixtus and how it can change your engineering life by helping you overcome annoying design hurdles by registering for our upcoming complimentary global webinar, “Admixtus is the time and cost saving solution for process development engineers” to be held on December 9, 2016.The webinar will also cover multiphysics aspects such as using Discrete Element Modeling (DEM) for solids suspension, Fluid Structure Interaction (FSI) and modeling reactions in the fermentation process.
Don’t worry, this blog has nothing to do with politics. Instead I wanted to spend some time trying to understand the lessons that we as engineers can learn from the failure of the prediction community to successfully forecast the outcome of the 2016 Presidential Election. For me this was an important backstory to the 2016 campaign: the pre-election poll predictions were wrong by a significant enough margin that they completely failed to forecast the outcome of the election. “What does this have do with engineering simulation?” I hear you ask. The answer, I think, is “a great deal.” CFD engineers, like psephologists*, are also interested in making predictions about the future. Whereas Silver and his peers use statistical inference (from opinion polls and other data sources) to try and predict how people will vote in an election, we use numerical models of physics to predict the future performance of a proposed product or design.

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