Gaussian Process Regression

Non-Ideal Part Modelling and Simulation

Achieving zero defects in manufacturing brings forth the need for simulations that emulate real processes and products as accurately as possible. Such simulations heavily rely on accurate representation of non-ideal parts i.e. models of actual manufactured parts with geometric and dimensional errors caused due to uncertainties in manufacturing processes. An illustration of simulation of non-ideal parts A morphing Gaussian Random Filed methodology was developed to address the limitations of state-of-art methodologies.

Shape Error Modelling and Analysis by Conditional Simulations of Gaussian Random Fields for Compliant Non-Ideal Sheet Metal Parts

© 2018 The Authors. Published by Elsevier B.V. Accurate modelling of geometric and dimensional errors of sheet metal parts is crucial in designing correct GD&T and preventing unnecessary design changes during the development and launch of a new …