Select Simulation mode
Download
1 / 19

ForK Tutorial. Exercise 1 Using simulation to determine adiabatic Time to Maximum Rate TMR(T) - PowerPoint PPT Presentation


  • 129 Views
  • Uploaded on

Select Simulation mode. ForK Tutorial. Exercise 1 Using simulation to determine adiabatic Time to Maximum Rate TMR(T). Run Scoring. Open an existing project which contains kinetic model Kinetic model has been evaluated from the ARC data related to decomposition of an organic product.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' ForK Tutorial. Exercise 1 Using simulation to determine adiabatic Time to Maximum Rate TMR(T)' - fauna


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

Select Simulation mode

ForK Tutorial.Exercise 1 Using simulation to determine adiabatic Time to Maximum Rate TMR(T)

Run Scoring


Open an existing project which contains kinetic model

Kinetic model has been evaluated from the ARC data related to decomposition of an organic product



Next steps are to view data of the project selected







Adjusting parame-ters of the nume-rical integration method and running simulation

Simulating reaction course under experiment’s conditions to check how the model fits experimental data


Zooming fragment of data and running simulation


Calculation of adiabatic TMR and running simulation




The 1 simulation st Exercise is over.

Press [Esc] to close presentation.

If you have ForK installed we recommend to repeat this exercise by yourself using demo data


ad