Tolerance Analysis of a Deformable Component Using the Probabilistic Approach and Kriging-Based Surrogate Models

Abstract

Tolerance analysis is a key issue in proving the compatibility of manufacturing uncertainties with the quality level of mechanical systems. For rigid and isostatic systems, multiple methods (worst case, statistical or probabilistic approaches) are applicable and well established. Recent scientific developments have brought enhancements for rigid over-constrained systems, using probabilistic and optimization based methods. The consideration of non-rigid systems is more complex, since large-scale numerical model must be taken into account for an accurate prediction of the quality. The aim of the present paper is the illustration of the probabilistic tolerance analysis approach for an industrial application