Ansys Automation with Python: Mechanical and Fluent Workflows
Offline / In-person
Course Overview
Join our focused training sessions of four days designed to empower engineers with Python-based automation for both Ansys Mechanical and Fluent. Over 3 days, master scripting techniques in Mechanical—from model setup to automated reporting—without needing prior coding experience. In a dedicated PyFluent session, learn to streamline CFD workflows by automating meshing, simulation, and post-processing tasks. Through hands-on examples, you’ll build customized, scalable tools that reduce manual effort, improve consistency, and accelerate simulation productivity across structural and fluid domains.
Pre Requisite
Ansys Mechanical and Fluent tools experience required
Agenda
Day 1 - Laying the Foundation
- Introduction to Python for Simulation Engineers
- Python Essentials: Data types, loops, functions, and more
- Code Structuring & Best Practices for Reusability
- Exploring Key Python Libraries for Engineering Tasks
- Getting Started with Automation in Ansys Mechanical
Day 2 - From Recording to Smart Automation
- Understanding Ansys Scripting Structure & Fundamentals
- Transitioning from GUI Recording to Clean, Flexible Scripts
- Implementing Advanced Logic and Parameterized Inputs
- Smart Meshing Strategies and Geometry-Based Preprocessing
Day 3 - Advanced Applications & Reporting
- Dynamic Object Handling and Load-Step Customization
- Automating Post-Processing: Hotspot Detection & Large Model Handling
- Generating Excel Charts and Visual Reports
- Microsoft Word Automation for Consistent Documentation
- Real-World Use Cases and Introduction to PyAnsys
Day 4 - Ansys Fluent Automation with PyFluent
- PyFluent Overview & Meshing
- Solver Setup with PyFluent Scripting
- Parametric Simulations & Automation
- Post-Processing with PyFluent
- Working with the Fluent Python Console
- PyFluent Enhancements & Use cases
Key Highlights of the course
Transform your simulation expertise with our cutting-edge course. Gain practical insights and
strategies to excel in the digital engineering landscape.
Simulation Efficiency
Eliminate repetitive tasks and boost simulation efficiency
Automation Strategies
Automate pre/post-processing with structured, error-free routine
Develop Scripts
Develop scripts tailored to your organization’s needs
Tool Building
Begin building your own intelligent simulation tools
Focused Industries
Professional from across the following industries are invited to register for this course. Don’t miss out!
Automotive and Ground Transportation
Aerospace & Defense
Industrial Equipment and Rotating Machinery
Healthcare
Electronics and Semiconductor
High-Tech
Energy
Who is this Workshop for ?
Product Engineers / FEA Specialists
Simulation Tool Developers / Software Developers
Researchers / Scientists
Students / Professors / Educators
- Tue, 16 Sep 2025 - Fri, 19 Sep 2025
IN PERSON
- CADFEM India, Pune
- Gopi Raju Velpula & Naveen Kumar Begari
- English
1,20,000 INR
1,00,000 INR ( EARLY BIRD OFFER )
excl. Tax
Speakers Info
Naveen Kumar B – PyAnsys Developer | Structures
Naveen Kumar is a PyAnsys Developer with deep expertise in Mechanical Simulation, Automation, and workflow optimization using Ansys Mechanical and the MAPDL solver.
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With a strong background in Finite Element Analysis (FEA) and Python scripting, he develops robust, scalable & verticle WebApp solutions that enhance efficiency and accuracy in Engineering Simulations. His portfolio includes Automation workflows for Solar panels, Report Generation, electronic PCB package analysis, and physics-based simulation games. Naveen is passionate about driving innovation, solving complex engineering challenges, and enabling teams to adopt advanced simulation practices through automation, customization, and knowledge sharing.
Gopi Raju Velpula – Pyansys Developer | Fluids
Gopi is a PyAnsys developer with expertise in computational fluid dynamics (CFD) simulations, automation, and customization of Ansys Fluent simulations using PyFluent.
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With his strong foundation in Python programming and PyFluent, he has successfully built multiple vertical web applications that automate complete end-to-end simulation workflows, seamlessly integrating everything from meshing to post-processing stages. His impressive portfolio showcases diverse and complex projects including ceiling fan aerodynamics automation, biomedical blood clot removal simulations, intelligent geometry automations, advanced high-end post-processing solutions, and automatic report generation capabilities all powered by PyAnsys technologies. Gopi’s practical approach to combining traditional CFD techniques with automation helps improve the speed, consistency, and usability of simulation tasks, making CFD more efficient and accessible for everyday engineering problems.
