
SOME HELPFUL TIPS TO USE THE MODEL
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ABOUT
 	
This module consists of models constructed using Artificial Neural Networks. The module predicts 
- Elongation
- Tensile strength and 
- Yield strength 

for ferritic power plant steels.

STEP 1

You will need to create a "test.dat" file which has the variables in the order shown below.
Look into the "example.dat" file for reference. 
IMPORTANT: No text is allowed in the "test.dat" file. Each column represents one variable.

1. Carbon
2. Silicon
3. Manganese
4. Phosphorus
5. Sulphur
6. Chromium
7. Molybdenum
8. Nickel
9. Aluminium
10 Copper
11. Nitrogen
12. Cobalt
13. Tin
14. Vanadium
15. Niobium
16. Section Thickness in millimeters
17. Heat Treatment Temperature in degree Celcius.
18. Cooling rate=[0/1/2] (0=furnace, 1=air cooling and 2=Oil Quenching)
19. Tempering Temperature in degree Celcius.
20. Tempering Time in minutes
21. Testing Temperature in degree Celcius.



The model will make a prediction for each row of varibales, so multiple predicitons can be made at once. This is convenient when testing the influence of a single variable.


STEP 2:

To use the model type "sh run-property-model.sh" at the prompt and do this ONLY after having created the "test.dat" file.
Save the "test.dat" file in the base folder and NOT inside  "Elongation/" (or)  "Tensile-Strength/" (or)  "Yield-Strength/" folders.


If you have any questions please use the email to contact us.


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