Easy-to-use, visual interface—no FE or meshing expertise needed.
Accurate distortion prediction with a robust multiphysics solver and scalable performance.
Ready-made automotive sub-assembly templates (A/B-pillars, body sides, closures) plus easy custom process creation.
Drag-and-drop customization for fast, intuitive setup.
Create clamps, locators, guides, and supports in-app—no external CAD required.
Use CAD, simulated, or scanned part data—fully associative for automatic updates.
Small deviations in single component cause gaps and shifts after welding. Assembly simulation predicts distortions early, optimizes clamping and weld strategies, and keeps geometry within tolerance—reducing fixture rework and delays.
Positioning, clamping, and welding order strongly affect assembly accuracy. Assembly simulation lets engineers optimize these sequences virtually, reducing trial-and-error and ensuring stable, in-tolerance results.
Late BiW validation makes changes costly and risky. Assembly simulation enables early process validation with CAD, stamping, or scan data, resolving issues before tooling—saving time and avoiding SOP delays.
It’s a digital tool that allows automotive manufacturers to virtually try-out their real-world assembly processes—from part positioning and clamping to spot welding and release sequences.
By modeling the entire process virtually, manufacturers can test strategies, identify issues early, and optimize workflows. This reduces costly trial-and-error on the shop floor and ensures smoother production.
The solution enables detailed virtual checks for dimensional accuracy, gaps, distortions, and welding stresses. Users can also simulate weld forces, pressures, and robot operations to predict distortions before physical trials.
Yes. It mirrors actual workflows step by step, including jig creation, welding parameters, and robot assignments. Multiple robots can be deployed in parallel, just as in real production.
Automotive and other manufacturing industries that rely on resistance spot welding gain the most value, as they can refine complex assembly processes virtually before committing to physical production.
By allowing experimentation in a fully digital environment, manufacturers can optimize sequences, avoid errors, and validate processes upfront—saving time, reducing rework, and improving product quality.
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