Honda Uses CAE and Model-Based Development to Accelerate Vehicle Design
Honda R&D details how CATIA Analysis, Abaqus FEA, and Isight optimization reduce physical prototypes and speed development cycles.
Kazuo Sakurahara explains Honda's shift from experiment-based design to model-based development. Designers run early-stage CAE in CATIA to optimize specifications, while specialists use Abaqus for nonlinear and vibration studies. Isight automates parametric iterations to resolve conflicting requirements such as weight, strength, and NVH. Calibration loops feed test data back into physics models to raise simulation accuracy and cut late-stage rework.
Model-based development replaces iterative prototype testing with upfront CAE-driven specification selection.
CATIA Analysis enables 70 percent of desired CAE tasks to be performed directly by designers.
Isight automates multi-objective optimization across weight, strength, NVH, and performance constraints.
Calibration and evaluation testing improves physical model accuracy, reducing future prototype builds.
Statistical feedback from all vehicle programs is required to generalize simulation accuracy across new designs.
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