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Materials Algorithms Project
Program Library
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Program MAP_AL_YS for Al wrought non-heat treatable alloys
- Provenance of code.
- Purpose of code.
- Specification.
- Description of program's operation.
- References.
- Parameter descriptions.
- Error indicators.
- Accuracy estimate.
- Any additional information.
- Example of code
- Auxiliary routines required.
- Keywords.
- Download Model for Linux.
- Links.
B Prasanna Venkataraman,
Department of Metallurgical Engineering,
PSG College of Technology,
Coimbatore - 641004, India.
M Murugananth,
Visiting Professor,
Department of Metallurgical Engineering,
PSG College of Technology,
Coimbatore - 641004, India.
E-mail: sssananth@gmail.com
Added to MAP: November 2007.
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Purpose of code - To predict the yield strength of Aluminum wrought non-heat treatable alloys as a function of chemical composition, temper and service temperature.
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| Language: |
FORTRAN and C |
| Product form: |
Executables |
Complete program.
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Wrought non-heat treatable Aluminum alloys are designed for applications such as packaging, cryogenic storages etc. These alloys derive their mechanical properties from the work hardening and solid solution strengthening. In the present work the yield strength of such alloys are predicted as a dependent variable on chemical composition, temper and service temperature.
This program was developed on a RedHat 9.0 Linux machine. The .tar files contains the following files and sub-directories:
- Readme.txt - This file contains all the relavent information regarding the model such as, the number of data points used, the input variables used, explanations on how to run the model and get the desired results.
- MINMAX_org - This file contains the range (mathematical) of the data of input variables.
- test.dat - This file is an example of how the variables have to be entered and used for predictions.
- run_model.sh - This is the shell command to be run on the terminal. This command takes the input from the test.dat and runs the model for the given input.
- result - This file is the output of the test.dat after running the shell command run_model.sh.
- no_of_rows.dat - This file contains the number of rows of data used.
- Subdirectory C - _w*f (The weights files for the different models), *.lu (Files containing information for calculating the size of the error bars for the different models), _c* (Files containing information about the perceived significance value for each model), _R* (Files containing values for the noise, test error and log predictive error for each model).
- Subdirectory D - outran.x (A normalized output file which was created during the building of the model).
- Subdirectory outprdt - com.dat (The normalized output file containing the committee results).
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- J R Davis, 1996, ASM Specialty Handbook-Aluminum and Aluminum alloys, ASM International, The Materials Information Society, Materials Park, OH.
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Input parameters
- The details regarding the Input variables are provided in the Readme.txt file in the .tar file. The MINMAX_org file gives the range of the variables used for making the model. When the input is within this range of the input variables, the uncertainty involved with the predictions will be lower or otherwise.
Output parameters
- The output is the yield strength of the respective data provided. The output is written into the result file. The output has the predicted value, error, predicted-error (lower limit) and predicted+error (upper limit).
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None.
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The uncertainty in predictions is given as a predicted-error and predicted+error.
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None.
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1. Program text
Complete program.
2. Input data
0.25 0.05 0.05 0.05 0 0 0 0.05 0.4 0 0 0.75 0 0 343 24
Each number correspond to a particular input variable and the details of the input variables are given in the Readme.txt file.
3. Program execution
In the command prompt, type sh run_model.sh
4. Program results
Predicted Error Predicted-Error Predicted+Error
118.6977550 3.5434736 115.1542814 122.2412286
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None.
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Artificial Neural Networks, Wrought non-heat treatable Al alloys, Yield Strength.
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Download Model for Linux
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