The following new or updated CFD jobs have been posted in the  

CFD Jobs Database since last week (Sun, Jan 12, 2020):  

 

#16396: PhD in adjoint-based optimization & high-order methods for LES 

       Old Dominion University (ODU), PhD Studentship 

       United States, Virginia, Norfolk 

 

#16395: Firebrand Transport Modelling 

       Victoria University, Australia, PhD Studentship 

       Australia, Victoria, Melbourne 

 

#16394: Research Software Engineer (Research Associate) 

       Cardiff University, School of Engineering, PostDoc Position 

       United Kingdom, Cardiff 

 

#16393: PhD in Machine Learning for Haemodynamics 

       University of Bath, PhD Studentship 

       United Kingdom, Bath 

 

#16392: Computational Fluid Dynamics (CFD) Engineer 

       Allison Transmission, Job in Industry 

       United States, Indiana, Indianapolis 

 

#16391: Post-Doc - Active flow control in compressors (Experimental) 

       Arts et Metiers - LMFL, Job in Academia 

       France, Lille 

 

#16390: Attribute engineer for thermal management of electrical machine 

       TVS Motor Company, Job in Industry 

       India, Tamilnadu, Hosur, Near Bangalore 

 

#16389: Research Associate - Analytical and Computational Modeling 

       North Carolina A&T State University, Job in Academia 

       United States, NC, Greensboro 

 

#16388: PhD Position in Flow Modeling and Analysis of Transonic Buffet  

       TU Braunschweig, Job in Academia 

       Germany, Braunschweig 

 

#16387: CFD Engineer 

       ACRi Infotech Pvt Ltd, Job in Industry 

       India, Karnataka, Bengaluru 

 

#16385: CFD Software Developer  

       PSB Recruitment, Job in Industry 

       United Kingdom, Select one, London 

 

#16384: PhD in Meteorology 

       Department of Meteorology, University of Reading, PhD Studentship 

       United Kingdom, Reading 

 

#16383: R&D Engineer - Thermal management and dielectrics GCB (100%) 

       ABB Power Grids Switzerland Ltd., Job in Industry 

       Switzerland, Zurich, Zürich, Oerlikon 

 

#16382: PhD research assistantship  

       Florida State University, PhD Studentship 

       United States, Florida, Tallahassee 

 

#16381: Product & Application Engineer - NUMECA USA 

       NUMECA International, Job in Industry 

       United States, San Francisco 

 

#16380: MODEL REDUCTION OF VAPOR LIQUID TWO-PHASE SYSTEMS 

       ISAE-ENSMA, Pprime Institute, PhD Studentship 

       France, Poitiers 

 

#16366: Research Associate - Particle-laden flows 

       University of Strathclyde, PostDoc Position 

       United Kingdom, UK, Glasgow 

 

#16324: 5 PhD positions in CFD Modeling (Hurricanes, Water Quality) 

       Florida International University (FIU), Miami, PhD Studentship 

       United States, Florida, Miami 

 

To learn more about these jobs please visit the CFD Jobs Database at https://www.cfd-online.com/Jobs/ 

 

Germany, November 9-13, 2020

Multiphase Flows - Simulation, Experiment and Application

Description:

  

 Multiphase flows are of great interest to a large variety of industries. The power generation, nuclear reactor technology, food production, chemical process, aerospace and automotive industries are all driving forces in this complex field.  

  

The goal of the workshop was to bring together experimental and numerical practitioners, and to foster discussion and exchange of knowledge.  

  

Experts from both areas are called upon to present their research and application results to a worldwide audience. Topics of interest include:  

  

    Simulation technology for multiphase flows  

        Phase interaction models  

        Turbulence models  

        Solution algorithms  

        Multi-scale modelling techniques  

    Application of simulation methods to multiphase flow problems  

    Experimental investigations of multiphase and magnetohydrodynamic flows  

    Measurement methods for multiphase and magneto-hydrodynamic flows  

  

The workshop is divided into two parts: starting with two days of Short Course, two more days of Conference follow.   

Call for Papers: First International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulations and Analysis (CFDML)

Held in conjunction with the International Supercomputing Conference (ISC) High Performance 2020, June 25, 2020, Frankfurt, Germany

The combination of computational fluid dynamics (CFD) with machine learning (ML) is a newly emerging research direction with the potential to enable solving so far unsolved problems in many application domains. Machine learning is already applied to a number of problems in CFD, such as identification and extraction of hidden features in large-scale flow computations, finding undetected correlations between dynamical features of the flow, and generating synthetic CFD datasets through high-fidelity simulations. These approaches are forming a paradigm shift to change the focus of CFD from time-consuming feature detection to in-depth examinations of such features, and enabling deeper insight into the physics involved in complex natural processes.

Apart from pure fluid dynamics, the community is embracing ML in a number of areas, such as constitutive modeling of heterogeneous materials, multiphase flow modeling, dynamics of the atmospheric, ocean, and climate system, and combustion/chemical reactions.

The workshop will stimulate this research by providing a venue to exchange new ideas and discuss challenges and opportunities as well as expose this newly emerging field to a broader research community. We aim to bring together researchers and industrial practitioners working on any aspects of applying ML to the CFD and related domains in order to provide a venue for discussion, knowledge transfer, and collaboration among the research community. We are soliciting papers on all aspects of CFD where ML plays a significant role or enables the solution of complex problems in CFD and related fields. Topics of interest include, but are not limited to: physics-based modeling with the main focus on fluid physics, such as reduced modeling for dimensionality reduction and the Reynolds-averaged Navier-Stokes (RANS) turbulence modeling; shape and topology optimization in solids; prediction of aeroacoustics; uncertainty quantification and reliability analysis; reinforcement learning for the design of active/passive flow control, and any ML approach that enables or enhances any of the above techniques.

The workshop will consist of 20-minute talks and will conclude with a panel session, where experts working in the field will discuss the most pressing challenges and attempt to identify the most promising directions to continue developing in the near future. Accepted papers will be published in a Springer LNCS proceedings volume that will accompany the ISC proceedings volume.

Important Dates

Paper due: March 30, 2020 Acceptance notification: April 27, 2020 Camera ready: June 1, 2020 Workshop day: June 25, 2020

Paper Submission

The members of the program committee will review papers submitted to the workshop. Submissions should follow the paper formatting instructions for LNCS and should be submitted via EasyChair. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted papers will be published in a Springer LNCS volume.

Workshop Co-Chairs and Program Committee

Volodymyr Kindratenko, National Center for Supercomputing Applications, USA Andreas Lintermann, Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany Charalambos Chrysostomou, The Cyprus Institute, Cyprus Jiahuan Cui, Zhejiang University, China Eloisa Bentivegna, IBM Research, UK Ashley Scillitoe, The Alan Turing Institute, UK Morris Riedel, University of Iceland, Iceland Jenia Jitsev, Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany Seid Koric, National Center for Supercomputing Applications, USA Shirui Luo, National Center for Supercomputing Applications, USA Madhu Vellakal, National Center for Supercomputing Applications, USA Jeyan Thiyagalingam, Science and Technology Facilities Council, UK

FORT WORTH, TX – The case study, “Pointwise Enables Revolutionary Building Construction,” shows how using Pointwise for mesh generation enables Branch Technology to increase reliability while decreasing the time to generate 3D printer instructions from weeks to hours.

Find out more about these latest advances: https://ptwi.se/38673yH

Branch Technology recognized a problem with efficiency and cost in building construction. They leveraged inspiration from nature and large scale robotic additive manufacturing to revolutionize building construction and became the first company to 3D print large-scale structures. Using Pointwise for structured mesh generation enables Branch Technology to increase the reliability of their process while simultaneously decreasing the time to generate printer instructions. Learn how Pointwise reduces the time for generating 3D printed instructions from weeks to hours.

Pointwise, Inc. is solving the top problem facing computational fluid dynamics (CFD) today – reliably generating high-fidelity meshes. The company's Pointwise software generates structured, unstructured, overset and hybrid meshes; interfaces with CFD solvers such as ANSYS FLUENT®, STAR-CCM+®, OpenFOAM®, and SU2 as well as many neutral formats, such as CGNS; runs on Windows, Linux, and Mac, and has a scripting language, Glyph, that can automate CFD meshing. Manufacturing firms and research organizations worldwide have relied on Pointwise as their complete CFD preprocessing solution since 1994.

Pointwise is a registered trademark of Pointwise, Inc. in the USA and the EU. Pointwise Glyph, T-Rex and Let's Talk Meshing are trademarks of Pointwise, Inc. All other trademarks are property of their respective owner.

#

For more information:

Andrea Alvarado

817-377-2807

news@pointwise.com

The following new or updated CFD jobs have been posted in the  

CFD Jobs Database since last week (Sun, Jan 5, 2020):  

 

#16379: IC engine flow and combustion analysis 

       TVS Motor Company, Job in Industry 

       India, Tamilnadu, Hosur, Nr. Bangalore 

 

#16378: MSc THESIS STUDENT:  CFD - COMBUSTION 

       NRG, Internship 

       Netherlands, Noord-Holland, Petten 

 

#16377: POSTDOCTORAL RESEARCH OPPORTUNITY 

       National Institute of Standards and Technology, PostDoc Position 

       United States, Maryland, Gaithersburg 

 

#16376: PhD opening - ITN Marie Curie 

       Dept. of Aerospace Science and Tecnology, Politecnico di Milano, PhD Studentship 

       Italy, Lombardia, Milan 

 

#16375: Research in aerodynamics (shock buffet simulation and analysis) 

       University of Southampton, Job in Academia 

       United Kingdom, Hampshire, Southampton 

 

#16374: Postdoc in DNS of transpirational cooling in hypersonics flows 

       University of Southampton, PostDoc Position 

       United Kingdom, Southampton 

 

#16373:  Mesoscale to microscale meteorological modelling 

       Barcelona SuperComputing Center, Job in Industry 

       Spain, Barcelona, Barcelona 

 

#16372: Postdoc on CFD of coffee extraction 

       Basque Center for Applied Mathematics, Job in Academia 

       Spain, Bilbao 

 

#16371: VAC-2019-65 Severo Ochoa PhD Position in Naval and Marine Eng 

       CIMNE, PhD Studentship 

       Spain, Cataluña, Barcelona 

 

#16370: Aerodynamic/aeroacoustic engineer 

       ISAE-Supaero, Job in Academia 

       France, Toulouse 

 

#16369: Ph.D. Assistantship - Multiphase and Reacting Flow Simulations 

       University of Massachusetts Lowell, PhD Studentship 

       United States, Massachusetts, Lowell 

 

#16368: Sales and Marketing Assistant 

       Tecplot, Inc., Job in Industry 

       United States, Washington State, Bellevue 

 

#16367: Numerical simulation:Influence of trees on pollutant dispersion 

       University of Surrey, Engineering and Physical Sciences, PhD Studentship 

       United Kingdom, Surrey, Guildford 

 

#16366: Research Associate - Particle-laden flows 

       University of Strathclyde, PostDoc Position 

       United Kingdom, UK, Glasgow 

 

#16365: Junior Research Fellow 

       BITS Pilani Hyderabad Campus, Job in Academia 

       India, Telangana, Hyderabad 

 

#16364: CSC Scholarship for PhD in multiphase turbulence 

       Zhejiang University, PhD Studentship 

       China, Zhejiang, Hangzhou 

 

#16338: Mathematical Modelling and Programming Specialist 

       nano4U AG, Job in Industry 

       Switzerland 

 

#16292: PhD in Reactive Flow Simulation with Machine Learning 

       San Diego State University, Dept. of Aerospace Engineering, PhD Studentship 

       United States, California, San Diego 

 

#16145: PhD positions in CFD (Hypersonics, Flow Control) 

       Oklahoma State University, PhD Studentship 

       United States, Oklahoma, Stillwater 

 

#16089: Measurement optimization for flow reconstruction 

       ONERA, PostDoc Position 

       France, Meudon 

 

#15806: PostDoctor in Fluid Mechanics and FSI 

       Nanjing University of Aeronautics and Astronautics, Job in Academia 

       China, Jiangsu, Nanjing 

 

To learn more about these jobs please visit the CFD Jobs Database at https://www.cfd-online.com/Jobs/ 

 

AUTOMOTIVE

Every 2 years competitors from around the world set out on a grueling race across the Australian outback: the World Solar Challenge. The competing solar-powered cars are built by some of the brightest young minds on the planet. Student teams from all over the world, push the limits of technological innovation by engineering and building a vehicle with their own hands, powered only by the sun. The competition is designed to promote research on solar-powered cars.

The Belgian team Agoria won last year's race with their car called BluePoint. BluePoint is the result of years of research by different teams of thesis students from KU Leuven.

One of the most important objectives of solar-powered car development is to minimize power consumption by reducing drag. To find the optimum design within the limits of the competition, the Agoria Solar Team ran many simulations using OMNIS™, and were able to make a large variety of design changes thanks to its quick and easy, yet high-quality mesh production.

In THIS BLOG ARTICLE read all about a study they made on the influence of the rotation of the wheels on the drag.