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.
A morphing Gaussian Random Filed methodology was developed to address the limitations of state-of-art methodologies. A conference paper detailing the preliminary work in this topic can be found HERE . A journal article and code to implement the mGRF methdology will be made available soon.