Building accurate CFD models that actually match real-world behavior takes more than just pushing buttons on powerful software like Fluent or Star-CCM+. Over 13 years, our team has gotten their hands dirty on hundreds of projects, figuring out exactly when a k-epsilon turbulence model is going to fail for a specific internal flow case versus when a SST model is essential, or wrestling with convergence issues on massively skewed meshes until we found a robust approach. 🧠 This isn’t knowledge you just pick up from a textbook; it comes from countless hours running simulations, debugging, and comparing results to experimental data when possible. We’ve invested heavily in the right mix of licensed software and high-performance computing power, but it’s the collective engineering judgment – honed through years of applying fundamental fluid physics to tricky, often novel problems – that truly guides the simulation setup, execution, and interpretation. That depth helps us cut through complexity and deliver insights you can actually use.