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Materials Algorithms Project
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Program MAP_STEEL_FERRITIC_HOT_MECH_PROPERTIES

  1. Provenance of code.
  2. Purpose of code.
  3. Specification.
  4. Description of program's operation.
  5. References.
  6. Parameter descriptions.
  7. Error indicators.
  8. Accuracy estimate.
  9. Any additional information.
  10. Example of code
  11. Auxiliary routines required.
  12. Keywords.
  13. Download source code.
  14. Links.

Provenance of Source Code

Kirk Skinner
Materials Engineer,
School of Mechanical, Materials and Mechatronic Engineering,
University of Wollongong,
Northfields Ave  University of Wollongong NSW 2522.

Dr Murugananth Marimuthu, 
School of Mechanical, Materials and Mechatronic Engineering,
University of Wollongong,
Northfields Ave  University of Wollongong NSW 2522.

E-mail: kirk.skinner@bluescopesteel.com                     

Added to MAP: November 2012

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Purpose

A set of models "Hot Strength Properties Module" to predict the mechanical properties like Elongation, Tensile Strength and Yield Strength of ferritic power plant steels. This model can be used to predict the said properties at high temperatures upto 700 C. In order to predict creep strength one can use the Creep module here.

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Specification

Language:

C, FORTRAN, BASH Shell

Product form:

Source Code and Executables

Complete program.

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Description

This module can be used to predict the elongation, tensile strength and yield strength for ferritic power plant steels.

Follow these steps to use this module:

1.    Download the file.

2.    Edit the test.dat file with the variable inputs to be used in the prediction. The inputs need to be entered in the order specified here.

3.    Run the model using run_model.sh.

The following files will be found within this module:

Readme.txt

Tells the name of the input variables and the order in which these are to be presented in a file named test.dat before using the model for predictions.

MINMAX

Contains the minimum and maximum ranges of each input variable.

test.dat

Contains the input variables which will be used by accessory programs to make predictions.

generate44

This is the executable file for the neural network program. It reads the normalised input data file, norm_test.in, and uses the weight files in subdirectory c, to find a value for ferrite number.The results are written to the temporary output file _out.

spec.c

Specification file to be read by generate44.

c/

Directory where weight files for use by the generate44 pertaining to each model in the committee are stored.

s/

outprdt/

Directory where the output from generate44 are written to.

committee.dat

Consists of values representing the number of models in committee and number of variables used.




Instructions to run the module

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References

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Parameters

Input parameters

The values must exist from left to right in individual cells.

1. C (wt%)
2. Si (wt%)
3. Mn (wt%)
4. P (wt%)
5. S (wt%)
6. Cr (wt%)
7. Mo (wt%)
8. Ni (wt%)
9. Al (wt%)
10. Cu (wt%)
11.N (wt%)
12. Co (wt%)
13. Sn (wt%)
14. V (wt%)
15. Nb (wt%)
16. Section Thickness (mm)
17. Heating temperature prior to cooling (oC)
18. Cooling rate (0-furnace cooled, 1-air cooled, 2-oil quenched)
19. Tempering Temperature (oC)
20. Tempering time (mins)
21. Testing Temperature (oC)

Output parameters

The output variable will correspond to the neural network model (i.e. Tensile strength, Yield strength, Elongation)

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Error Indicators

Uncertainty estimated along with the predictions.

None.

Accuracy

No information supplied.

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Further Comments

None.

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Example

1. Program text

Complete program.

2. Program data

See file test.dat and Readme.txt

3. Program results

Check `Properties.txt' file

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Auxiliary Routines

No auxiliary routines

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Keywords

Hot strength, tensile strength, yield strength, elongation, power plant steels

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Downloads

Download source code (Linux)

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MAP originated from a joint project of the National Physical Laboratory and the University of Cambridge.

 
 
 
 
 

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