# Materials Algorithms Project
Program Library

## Program MAP_NEURAL_EPSILON_MS

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

### Provenance of Source Code

Hong-Seok Yang
Computational Metallurgy Laboratory,
Graduate Institute of Ferrous Metallurgy (GIFT),
Pohang University of Science and Technology (POSTECH),
Pohang, Republic of Korea Added to MAP: January 2011

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### Purpose

Prediction of the epsilon martensite-start temperature (MS) as a function of chemical composition

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### Specification

Language: | C
Product form: | Source code / Executable files
Operating System: | Linux / Window

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### Description

MAP_NEURAL_EPSILON_MS contains programs which enable the user to predict the epsilon martensite-start temperature as a function of chemical composition. The neural network model was made based on literature data using Models Manager, Neuromat Ltd.

`MINMAX`
  A text file containing the minimum and maximum limits of each input and output variable
`test.dat`
  An input text file containing the input variables used for predictions. Each colum represents C, Mn, Ni, Cr, Al, Si, Mo, Co, Cu, Nb, Ti, V and W in wt %, respectively.
`model.gen`
  This is a unix command file. It can be excuted by typing csh model.gen at the command prompt.
`MODEL.exe`
  This is executable program for the PC correspond to the unix command file.
`Result`
  An output text file. Each colum represents (MS), (Uncertainty), (MS-Uncertainty) and (MS+Uncertainty) in K respectively.

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### References

H.-S. Yang, J. H. Jang, H. K. D. H. Bhadeshia and D. W. Suh. Critical Assessment: Martensite-Start Temperature for the &\gamma; to ε Transformation, will be published

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###

### Parameters

### Input parameters

Input parameters are chemical compositions in wt %. test.dat file contains the parameters.

### Output parameters

    Output parameters are predicted epsilon Ms in K. Result file contains the parameters.

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### Error Indicators

None.

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### Accuracy

None.

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### Further Comments

None.

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### Example

#### 1. Program text

     Complete program.

#### 2. Program data

Input data are in `test.dat`, an example is as follow:

0 20 0 0 0 4 0 0 0 0 0 0 0

0 20 0 0 0 5 0 0 0 0 0 0 0

0 20 0 0 0 6 0 0 0 0 0 0 0

0 20 0 0 0 7 0 0 0 0 0 0 0

#### 3. Program results

Result data are in R`esult or Model_RESULT.dat`, an example is as follow:

428.731140 17.975042 410.756073 446.706177

424.012604 18.601940 405.410645 442.614532

410.479828 19.760050 390.719757 430.239868

386.650360 24.472645 362.177704 411.123016

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### Auxiliary Routines

None

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### Keywords

neural network, epsilon martensite start-temperature

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### Download

Linux:
  Download Neural_Epsilon_Ms model (tar.gz file, 3.8 Mbytes)
PC Software:
  Download Neural_Epsilon_Ms model (zip file, 2.9Mbytes)
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- MAP originated from a joint project of the National Physical Laboratory and the University of Cambridge.