21 – Data-driven surrogate models and analysis for friction application using MoDS
21 – Data-driven surrogate models and analysis for friction application using MoDS Reducing the computational expense associated with predictive modelling […]
21 – Data-driven surrogate models and analysis for friction application using MoDS Reducing the computational expense associated with predictive modelling […]
22 – Treating external 3rd software as black box model Creating a user friendly interface to treat a third-party proprietary
23 – Automated model calibration and parameter estimation A common example of parameter estimation is carried out routinely in IC
24 – Global sensitivity analysis of fuel consumption Building a virtual vehicle to run over multiple standardised and real-world drive-cycles,
25 – Applying a Monte Carlo analysis to project management MoDS is applied to estimate the overall duration of a
26 – Applying Neural Networks to advanced engineering Applying Neural Networks as surrogates to two turbo-compressor maps. Link.
27 – Simulating in-cylinder turbulence and bulk flows Building an advanced turbulence model with sufficient detail to simulation the most
28 – Applying kinetics to Simulate Fischer Tropsch Detailed microkinetics model (with novel features including surface coverage profiles) coupled with
29 – Rapid engine map generation and automatic model calibration for downsized IC engines Developing fast-response models to generate engine
30 – Automated statistical analysis and calibration of advanced process models Performing rapid analysis of sensitive and uncertain model parameters