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. 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.

Manoj Babu
Senior Teaching Fellow

I hold a PhD in Engineering with research interests in digital manufacturing, applied machine learning and stochastic modelling of Manufacturing Assembly Process.