Conferences  >  Physics  >  Thermodynamics, Fluid Dynamics and Statistical Physics

IIT Jodhpur

The 10th International and 50th (Golden Jubilee) National Conference on Fluid Mechanics and Fluid Power will be held at the Indian Institute of Technology Jodhpur, Rajasthan, India. This conference is organized every year since 1969 at different venues in India with the guidance of National Society for Fluid Mechanics and Fluid Power (NSFMFP). The primary aim of this conference is to provide a platform and bring together the experts around the world to share the state-of-the-art information on various fluid mechanics and fluid power related topics. The society aims to disseminate and propagate knowledge in the fields of fluid mechanics in the country and to play a lead role in training the new teachers engaged in teaching of fluid mechanics and allied subjects. Apart from the conference, NSFMFP also organises various workshops focusing on the fluid mechanics research methodologies. The main role of these workshops is to train the young talented minds and inculcate the research interest in both Undergraduate and Postgraduate levels in the domain of the fluid mechanics.

Dr. Hardik Kothadia;     Phone: [+91-291-2801512];     Email: fmfp2023@iitj.ac.in

Fundamental Studies in Fluid Mechanics, Measurement Techniques in Fluid Flows, Computational Fluid Dynamics, Instability, Transition and Turbulence, Fluid-structure Interaction, Multiphase Flows, Micro-Nano Scale Transport, Bio-Fluid Mechanics, Aerodynamics, Turbomachinery, Propulsion and Power, Non-newtonian fluid flows; Nanofluid; Magnetohydrodynamics and Electrohydrodynamics flows; Granular flows; Nuclear reactor thermal hydraulics; Fluidized bed technology; Environmental fluid mechanics; Data-driven fluid mechanics; Transport phenomenon in material processing and manufacturing processes; Energy engineering; Ocean engineering; Petroleum engineering; Fluid mechanics and fluid power education etc.

Mechanical engineering,    Computational Physics and Numerical Simulation

von Karman Institute for Fluid Dynamics

Ground testing facilities have been used since long in aeronautics and aerospace, as they have been developed for environmental and industrial applications. Nowadays they are still major sources of key data for investigations in all fields of fluid dynamics. This hybrid lecture series (online / on-site) is organized for student and engineers to provide a general understanding of the design, operation and application of ground testing facilities from all speed regimes. Experimental methodology is exposed as well as the interpretation of the data and their extrapolation to real situation. The course includes an on-site presentation of the VKI facilities during a lab visit (for on-site participation only). A question/answer session will be organized for the online participants. The schedule of this session will be communicated later. This Lecture series is based on the long tradition and experience developed at VKI on experimental testing.

von Karman Institute for Fluid Dynamics

The objective of these hybrid (online / on-site) lecture series on "Introduction to CFD" is to provide an elementary tutorial presentation on computational fluid dynamics (CFD), emphasizing the fundamentals and surveying a variety of solution techniques whose applications range from low speed incompressible flow to hypersonic flow. At the conclusion of the course, an attendee will be well prepared to understand the literature in this field, to follow more sophisticated state-of-the-art lecture series, and to begin the application of CFD to his or her special areas of concern. The techniques to be discussed will be applicable to all fields of fluid dynamics including aeronautics, industrial flows, wind energy etc.

Continuing Professional Education, Courses (general),    Computational Physics and Numerical Simulation

von Karman Institute for Fluid Dynamics | Universit� libre de Bruxelles (ULB)

The integration of machine learning methods in fluid mechanics continues to grow and open new frontiers. Combining first principles and machine learning offers new avenues to improve predictions and control design, identify patterns, reduce computational costs, enhance measurement techniques, and more generally, get deeper insights into complex fluid phenomena. This lecture series provides an overview of the current state of the art and a pedagogical introduction to the fundamentals of machine learning tools for fluid dynamics. The course is in its second edition. It follows the successful lecture series held in 2020, which attracted more than 200 participants and resulted in an edited book published by Cambridge University Press.

Continuing Professional Education, Courses (general),    Neural Networks and Artificial Intelligence, Machine Learning

von Karman Institute for Fluid Dynamics

This short course is the regular course on radial compressors thought at VKI to the turbomachinery students specializing in compressors in the context of the ‘Research Master in Fluid Dynamics’. It provides an overview of the present knowledge and flow models and intends to provide a good background for the people interested in the aerodynamic design of radial compressors. This 5 day course is now made available to a limited number of people from outside VKI.

Continuing Professional Education, Courses (general),    Applied Physics (general)

von Karman Institute for Fluid Dynamics

Don't miss the opportunity to learn about the exciting research activities conducted at VKI! Join us online (for the public) / on-site (for VKI members and supervisors) from March 12th to March 15th for the VKI PhD Symposium, where prominent lecturers in three application fields of fluid dynamics will give keynote lectures to open each day of the symposium. VKI PhDs will review the doctoral research carried out in the three departments of the Institute. The symposium is organized into sessions covering a range of topics, including Liquid Metals & Industrial Flows, Aeroacoustics, Shape Optimization, Liquid & Solid Propulsion, Compressor and Turbine aerodynamics & heat transfer, Aerothermochemistry, Aerothermodynamics, Rarefied and Plasma Flows , and Instrumentation & Measurement Techniques.

von Karman Institute for Fluid Dynamics

The course gives a practical introduction to the structure and usability of OpenFoam and OpenFOAM related applications (snappyHexMesh, paraview). Besides the general introduction the participants will perform a complete numerical simulation starting from choosing the solver till post-processing. The second day will be partially dedicated to the open source mesh generator snappyHexMesh and a multiphase simulation will be performed with the obtained mesh.

Continuing Professional Education, Courses (general),    Computational Physics and Numerical Simulation

The conference is organized by BE-HyFE (Belgium) and Hydrogen Europe Research (EU).

Hydrogen is, and will remain, a hot topic in R&D, both in the academic and the industrial world. There are already many conferences dedicated to hydrogen, often primarily offering a platform to more mature researchers. None of those are tailored specifically to PhD researchers and also organized on a European level. But, we are convinced that PhD-focused conferences can provide a nurturing environment for early-stage researchers to grow, learn and establish their academic presence. So the idea for EPHyC was born: let's organize a PhD conference offering a platform for EU-based networking, learning and skills development attuned to their needs and stages of research, from just starting researchers to those almost defending their thesis. EPHyC, with mainly PhD presenting their topics to each other, will offer many opportunities for feedback, collaboration options, discovering potential interdisciplinary connections and research motivation. The conference is organized by PhDs for PhDs, we know you because we are you!

And the best part? To make the threshold as low as possible, the conference is free of charge for all participants!

Courses and Events for Physics Students,    Ecosystems, Environment and Sustainable Development

von Karman Institute for Fluid Dynamics

The programing course shows the how-to for the most common programming issues in OpenFOAM® covering the implementation of new solver, adding own boundary conditions, modifying turbulence models and defining user-specific utilities. During these programing experiences the participants will get familiar with the highly templated language of OpenFOAM®, with the difference of static and dynamic linking. Basic knowledge of setting up and running OpenFOAM® cases is requested in order to be able to follow the course efficiently!

Continuing Professional Education, Courses (general),    Computational Physics and Numerical Simulation

Institute for Pure and Applied Mathematics (IPAM), UCLA

Geometric structures associated with bipartite graphs on surfaces have recently emerged and turn out to be crucial for studying a variety of problems. On the one hand, probabilists working in statistical mechanics are interested in finding appropriate embeddings of planar graphs that lead to discrete complex analysis theories, which are well suited for observing conformally invariant objects in the scaling limit. In the course of doing so, they established deep connections between specific immersions of the underlying graphs, integrability of the models, and Harnack curves. On the other hand, several spaces of geometric objects have recently been found to be parametrized by weighted bipartite graphs on surfaces, relating them to cluster algebras and integrable systems. These include objects from discrete differential geometry (e.g. Q-nets, Darboux maps), positive Grassmannians, and higher Teichmüller spaces. Moreover, connections between knot theory and the dimer model have started to emerge and beg for a better understanding.

Part of the Long Program Geometry, Statistical Mechanics, and Integrability

Analysis,    Mathematical Physics

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

von Karman Institute for Fluid Dynamics

The purpose of this Lecture Series is to offer a full overview of the present development and the potential of the Large Eddy Simulation (LES) of turbulent flows. The first part of the course will introduce and discuss fundamental principles, present state-of-the-art applications. The specific numerical problems related to the implementation of LES will be also presented. The second part will present applications of these approaches to various engineering fields of wide interest. The course will be concluded discussing the possible developments of LES and Detached Eddy Simulation (DES) which represents the most promising technique to extend the usefulness of LES for high Reynolds-number flows. The course will be delivered by internationally recognized experts. Its content is addressed both to researchers interested in the fundamental simulation of turbulence and engineers wanting to apply the LES technique or LES solvers to the accurate simulations of turbulent flows.

Continuing Professional Education, Courses (general),    Computational Physics and Numerical Simulation

von Karman Institute for Fluid Dynamics

This course gives an overview and practical hands-on experience in integrating machine learning in fluid dynamics. The course originated as a compressed version of the course Machine Learning for Fluid Dynamics, given at the Research Master program at the von Karman Institute. After a brief review of the machine learning landscape, we show how to frame problems in fluid mechanics as machine learning problems, and we explore challenges and opportunities. Attendees will be guided through a series of tutorial sessions in Python and will tackle several relevant applications: aeroacoustics' noise prediction, turbulence modelling, reduced-order modelling and forecasting, meshless integration of (partial) differential equations, super-resolution and flow control.

Continuing Professional Education, Courses (general),    Neural Networks and Artificial Intelligence, Machine Learning

Chemical Engineering,    Applied Physics (general)

CIRM – Centre International de Rencontres Mathématiques

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

QTD 2024 is the annual conference on quantum thermodynamics held in person at the University of Maryland, College Park, MD. The conference’s primary goal is to discuss recent advances in quantum thermodynamics, the field that studies thermodynamic processes at the quantum scale.

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Information Theory, Foundations of Computer Science

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Since 1964, initiated by Harold Springall, championed throughout the 1960s and 1970s by Max McGlashan and Sir John Rowlinson, the Thermodynamics Conference series has been devoted to showcasing the scientific and engineering contributions encompassing the research subjects of chemistry, physics, biology, chemical engineering, petroleum engineering and materials science.

Chemical Engineering,    Applied Physics (general)

von Karman Institute for Fluid Dynamics

Innovative optimization and design techniques for modern aircraft (manned or UAV/UCAV) and engine systems aiming at maximum performance in a multidisciplinary context (aerodynamic efficiency, safety, drag, losses, weight, strength, heat fluxes, emission, noise, …), are now rapidly moving from research labs to industrial real and virtual platforms. To reach concurrently this level of excellence, emergent optimization methodologies require more and more robust and efficient associated software for a daily use in industrial collaborative design environments. This course intends to provide the basic concepts and tools behind this technology, both in single discipline (single point or multi point design) and multidisciplinary (fluid-structure interaction, fluid-acoustics, conjugate heat transfer, …) context. Subjects which will be treated in detail include: gradient based and steepest descent methods, adjoint methods, one shot or goal oriented methods, evolutionary/differential evolution algorithms on parallel environments, game strategies like Pareto Fronts and Nash Equilibrium, parameterization, surrogate and reduced-order modeling (Radial Basis functions, Artificial Neural Networks, Kriging …), multifidelity modeling approaches, robust design, … The content of this Course is oriented towards junior and experienced engineers and researchers involved in the field of multi disciplinary design and looking for innovative numerical solutions - or set of solutions- for complex multi criteria optimization problems.

Continuing Professional Education, Courses (general),    Mechanical engineering

CIRM – Centre International de Rencontres Mathématiques

American Nuclear Society (ANS)

The DFD Annual Meeting is one of the largest conferences in fluid dynamics, with more than 3,500 attendees expected from around the world. The objective is to promote the advancement and dissemination of knowledge in all areas of fluid dynamics. Students, postdoctoral researchers, university faculty, and researchers across government and industry are encouraged to share the latest developments in the field.