Week - 8 Mass Scaling

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Use mass scaling to reduce the runtime of a model and ensure the stability of mass scaling. The hard limit on mass scaling is 8% and stability should be completely intact. This means that two simulations, one with mass scaling and one without should behave exactly the same way. The submission should contain the trials for mass scaling and the data generated henceforth. Both the DT and TSSFAC parameters should be optimized.

The student is supposed to take the attached model and do trial and error for mass scaling. Once the mass scaling objective is reached, a histogram should be plotted to compare the runtime with mass scaling trials. Finally, the student has to run the same model using implicit solver with necessary changes and compare implicit and explicit runtime.

The idea of the simulation is to understand mass scaling parameters.