Scaling Automotive CFD with a Workflow Built for Speed and Iteration

What does it take to cut CFD turnaround time from 22 hours to as little as 4? For the Audi E-tron 55 Quattro, this level of acceleration is already being demonstrated. This points to a broader question: when a workflow can compress iteration cycles dramatically, how can engineering teams use those saved hours more strategically?

In today's automotive design development cycle, computational fluid dynamics (CFD) simulation plays an increasingly important role beyond final validation. It is expected to guide design decisions continuously across external aerodynamics, thermal management, cabin comfort, aeroacoustics, and more. This shift demands more than isolated tools. It requires a unified workflow that can amplify engineering throughput, accelerate iteration, and maintain fidelity across repeated design changes.

This is where Cadence ANSA, AutoSeal, Fidelity, META, and AI-enabled simulation intelligence create a differentiated advantage. Together, they connect geometry preparation, watertight model generation, high-fidelity solving, post-processing, and surrogate-based prediction into a single automotive CFD workflow that reduces latency across every stage of simulation. The result is a workflow that runs faster and enables automotive teams to use CFD simulation more broadly and strategically throughout the development cycle.

Automotive CFD Workflow Challenge

Automotive CFD workflows must balance fidelity, turnaround, and engineering productivity across diverse use cases. Vehicle geometries are complex, assemblies evolve frequently, and a large share of effort remains tied up in disconnected pre-processing, meshing, solving, and post-processing tasks. Nearly 75% of workflow effort, and in some cases up to 80% of engineering time, is consumed in pre-processing and meshing alone. That is why a unified workflow matters: solver acceleration alone cannot eliminate the front-end and back-end bottlenecks that constrain overall throughput.

ANSA and AutoSeal: Unified Geometry Preparation, Automation, and Meshing

High-quality CFD starts with clean, watertight geometry. ANSA addresses common CAD issues such as gaps, overlaps, and intersections with intuitive geometry healing, defeaturing, Boolean operations, and diagnostics that quickly identify leaks and other problem areas. Direct Edit further speeds cleanup by enabling localized changes without CAD re-import, making ANSA especially effective for large, complex automotive models.

ANSA also accelerates model build-up through intelligent topology handling, which identifies similar geometry and enables virtually linked representations for faster, more consistent meshing across repeated features. Automation is a key enabler in ANSA, with Python-based scripting streamlining tasks such as CAD import, model build-up, meshing, morphing, optimization, and solver export within a unified environment.

Fidelity AutoSeal further strengthens this workflow by automatically repairing dirty CAD, closing gaps, and filling holes—reducing geometry preparation from hours to minutes. For example, a Honda cabin-space sealing task was reduced from a week to roughly one hour using AutoSeal.

Fidelity: Advanced Automotive Simulation at Scale

Fidelity provides the central simulation capability in the workflow, supporting automotive applications. It combines high-fidelity flow physics with GPU-resident solver performance to increase throughput without sacrificing predictive capability. Up to 9X higher throughput and 17X lower energy consumption are achieved at the same cost as CPU-based approaches, while platforms such as the Millennium M2000 Supercomputer can provide up to 80X faster turnaround for simulation workloads.

META: Faster Post-Processing and Engineering Insight

META closes the workflow by making large CFD datasets easier to study, compare, and communicate. It supports quantitative analysis, visualization, and automated reporting for pressure fields, wake structures, force coefficients, thermal distributions, and cabin-flow behavior across multiple configurations. By reducing manual post-processing effort, META enables faster technical decisions from simulation output.

AI-Enabled Simulation Intelligence: Extending CFD Beyond Traditional Turnaround Limits

AI-enabled simulation intelligence amplifies the workflow further by enabling surrogate-based prediction for rapid aerodynamic assessment. It helps predict drag and lift with errors of less than one drag count while reducing turnaround from days to hours, and in benchmark scenarios to less than one second. This allows engineering teams to screen more configurations early, narrow design spaces faster, and reserve full high-fidelity solves for the most promising candidates.

The Bottom Line: Faster CFD, Broader Engineering Impact

For automotive OEMs and suppliers, the opportunity extends beyond faster CFD to a unified workflow that improves every stage of simulation. ANSA streamlines front-end preparation, AutoSeal accelerates watertight geometry generation, Fidelity increases simulation throughput, META simplifies post-processing, and AI-enabled simulation intelligence supports near-real-time design screening.

By reducing workflow latency and expanding the decisions simulation can inform, this approach makes CFD more continuous and actionable across the vehicle development cycle. As programs grow more complex and launch windows tighten, that broader use of simulation allows teams to apply recovered engineering capacity to earlier design exploration, evaluate more variants, and make faster, better-informed decisions throughout the development cycle.

References

McKinsey & Company. (2025, August 19). Automotive product development: Accelerating to new horizons. https://www.mckinsey.com/capabilities/operations/our-insights/automotive-product-development-accelerating-to-new-horizons

BloombergNEF. (2024, June 12). Electric vehicle sales headed for record year but growth slowdown puts climate targets at risk, according to BloombergNEF report. BloombergNEF. https://about.bnef.com/insights/clean-transport/electric-vehicle-sales-headed-for-record-year-but-growth-slowdown-puts-climate-targets-at-risk-according-to-bloombergnef-report/

Kearney. (2024, June 7). Speeding up the automotive product development process. https://www.kearney.com/industry/automotive/article/speeding-up-the-automotive-product-development-process

Read the technical brief and white paper for more detailed information about the ANSA, AutoSeal, Fidelity, and META workflow.