Simulation Workflow Optimization: Python Automation and Multi-Physics Integration in Modern Product Development

Every week I break down an episode of the Being an Engineer Podcast with key insights for engineering professionals. This week explores how Python automation is collapsing aerospace simulation workflows from days to hours.

In this week's newsletter, Aaron Moncur has a conversation with Rick James , CEO of SimuTech Group , the number one ANSYS partner in North America.

"We went in and looked at using Python and just automated it. It took their process down from four days to a couple hours."

In this episode:

• How Python automation eliminated manual decision handoffs and reduced aerospace simulation workflows from four days to hours
• Why the best engineering teams place simulation at the top of the V-diagram during system architecture rather than treating it as end-stage validation
• How multi-physics coupling maps full-field data between structural, thermal, and fluid domains instead of relying on simplified boundary conditions
• Why the simulation versus physical testing debate misses the economic optimization angle—using simulation to eliminate worst candidates before million-dollar tests

Python Automation Eliminates Manual Handoffs in Aerospace Simulation

SimuTech worked with an aerospace customer whose simulation team had strong technical fundamentals - accurate methodologies, proper training, appropriate hardware. The workflow itself created the bottleneck.

"The users are really good in terms of the methodologies were sound, they're accurate, they're well trained. They had good hardware," James explains. The problem wasn't technical competence.

Their process required four days from analysis start to final results. Python automation collapsed that timeline to a couple of hours by encoding decision-making that previously happened through verbal communication between engineers.

"A lot of that was maybe from them, so maybe they're helping us out on our metrics, but it was definitely a lot of individual decisions, and a lot of human handing off to other humans," James says. The script captured institutional knowledge about when to apply which methods.

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• Complete deep dive analysis with all insights and quotes
• Bonus article: "A Framework for Engineers Working with Contract Manufacturers"
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