Case Study: RadiciGroup achieves more reliable recycled polymer design with Cadence Digimat UQ

RadiciGroup cuts simulation runs from dozens to one with Cadence Digimat UQ

RadiciGroup, a global leader in engineering polymers, faced the challenge of predicting the failure probability of parts made from recycled materials, which have greater inherent variability than prime-grade polymers. Their goal was to quantify this variability and confidently compare their optimized recycled material, Renycle, against generic alternatives for a specific gear assembly. To address this, they turned to Cadence and utilized the Uncertainty Quantification (UQ) workflow within the Digimat Modeling Platform.

The solution from Cadence used an AI/ML-driven UQ workflow to model real-world material variability and compute precise failure-torque limits. This approach replaced dozens of traditional deterministic simulations, revealing that RadiciGroup's Renycle material consistently outperformed the generic recycled alternative under uncertainty. As a result, Cadence's solution enabled trusted design decisions by eliminating unnecessary safety margins, which reduced development time and costs for RadiciGroup.

RadiciGroup