Using Python to interact with the Oasys LS-DYNA Environment
- Thu 5th Mar 2026
- Online
- GMT
- Free
Webinar description
Join us for an insightful webinar as we explore the integration of Python with the Oasys LS-DYNA Environment. This session is designed for engineers, developers, and simulation enthusiasts who are looking to enhance their workflow efficiency and leverage the powerful capabilities of Python in their Ansys LS-DYNA workflows.
Our applications provide all you need to produce quality models and results, gain insight and communicate with ease. This allows you to speed up decision making, and power through your simulation workflow.
Key Highlights:
- Python integration: Learn how to use Python with the Oasys LS-DYNA Environment applications to automate tasks, streamline processes, and improve productivity.
- Hands-on demonstrations: Watch live demonstration showcasing practical examples of Python scripts interacting with Oasys applications.
- Best practices: Discover best practices for writing efficient and effective Python code to power your LS-DYNA workflows with the Oasys tools.
- Live Q&A: Engage with our experts during the interactive Q&A session to get your specific questions answered.
Speaker – Tejas Ruparel, Arup Washington DC, USA
Tejas is an Application Engineer at Oasys LS-DYNA Environment and is based at Arup in Washington, DC, USA, supporting customers across North America with simulation workflows, training, and technical problem-solving. With over 10 years of experience in automotive CAE and occupant injury risk analysis, including roles in structural analysis and human injury research, he brings a practical, engineering-focused perspective to automation and productivity in Ansys LS-DYNA environments.
In this webinar, Tejas will share how the Oasys Python interface can be used to streamline pre- and post-processing workflows across the Oasys LS-DYNA suite.
Registration
This webinar will run twice:
🕧 12:30 – 13:30 GMT (UK)
🕘 09:00 – 10:00 AM PST (San Francisco)
A single registration link gives access to both sessions – just choose the time that works best for you and click the Sign Up button above.
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