Scientific Visualization Using ParaView: Data Analysis, Visualization Techniques, and Programming Workflows
Learn how to analyze, visualize, and automate simulation data workflows using the powerful open-source platform ParaView!
What You Will Learn:
In this webinar, you will learn how to use ParaView, one of the most widely used open-source platforms for scientific visualization, to analyze, explore, and present simulation results from computational engineering workflows.
During the webinar we will cover:
- Introduction to ParaView and its role in CFD and FEA post-processing workflows
- Overview of the ParaView graphical user interface, including pipelines, views, data representations, probing tools, and color mapping
- Explanation of common simulation data types such as scalars, vectors, tensors, point
and cell data, and time-dependent datasets - Use of essential post-processing filters including slices, clips, thresholds,
contours, streamlines, glyphs, and basic field operations - Practical post-processing examples covering flow visualization, field inspection,
and quantitative analysis - Introduction to ParaView Python scripting for automating repetitive tasks and enabling
batch post-processing workflows
🚀This webinar is designed for students and researchers who are new to ParaView or scientific visualization, as well as CFD and FEA users working with tools such as ANSYS, OpenFOAM, STAR-CCM+, Abaqus, COMSOL Multiphysics, SU2, and LS-DYNA. It is also ideal for startups seeking powerful open-source visualization solutions, as well as aerospace, mechanical, and computational engineers who work with simulation data. The session is particularly valuable for professionals who currently rely on manual post-processing and want to establish a clean, structured workflow, and for anyone interested in automating visualization tasks with Python but unsure where to begin.
💬 You will be able to rise all your questions to our speakers in a Q&A session at the end!
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Webinar Speakers:
Aerodynamics Engineer | Ph.D. in Fluid Mechanics | E-Learning Instructor
Alongside his research and industry work, César is deeply engaged in teaching and knowledge transfer. He lectures in Thermodynamics and Fluid Mechanics at Universitat Carlemany in Andorra, and has created widely used online courses on Python-based CAD automation and scientific visualization. His teaching journey has also included roles at INPT in Toulouse and Linköping University in Sweden, where he mentored students in CFD and aerodynamics. With expertise spanning programming, CAD, and CFD, César brings both technical depth and a passion for education to his professional endeavors.
WiredWhite Co-Founder | Electrical Engineering PhD | e-Mobility Expert | Innovator
With a growing demand for specialists just like him, he has noticed the need for knowledge-sharing and better education of engineers. He therefore has joined forces with 3 other specialists and together they created the WiredWhite e-learning platform, which has now become the Go-To place for engineering tutoring and online courses.
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