Reduced-order modelling for real-time physics-based variation simulation enhanced with adaptive sampling and optimized interpolation
Mario Brandon Russo,
Pasquale Franciosa,
Alessandro Greco
et al.
Abstract:Manufacturing industries require a right-first-time paradigm to remain competitive. Variation simulation (VS) is a key tool to predict variation of the final shape of flexible assemblies, allowing to reduce defects and waste. VS models involving compliant sheet-metal parts commonly integrate physics-based simulation with statistical approaches (usually Monte Carlo simulation). Although increasingly used as a backbone of synthesis techniques for (stochastic) optimization of assembly systems, the main roadblock … Show more
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