Multiple linear regression parameters for determining fatigue-based entropy characterisation of magnesium alloy
This paper presents the development of the multiple linear regression approach based on the stress ratio and applied load that was assessed using entropy generation. The energy dissipation is associated with material degradation to determine the fatigue life with consideration to the irreversible th...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2022-10-01
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| Series: | Fracture and Structural Integrity |
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| Online Access: | https://www.fracturae.com/index.php/fis/article/view/3538/3665 |
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| author | M.A. Fauthan S. Abdullah M.F. Abdullah I.F. Mohamed |
| author_facet | M.A. Fauthan S. Abdullah M.F. Abdullah I.F. Mohamed |
| author_sort | M.A. Fauthan |
| collection | DOAJ |
| description | This paper presents the development of the multiple linear regression approach based on the stress ratio and applied load that was assessed using entropy generation. The energy dissipation is associated with material degradation to determine the fatigue life with consideration to the irreversible thermodynamic framework. This relationship was developed by predicting a complete entropy generation using a statistical approach, where a constant amplitude loading was applied to evaluate the fatigue life. By conducting compact tension tests, different stress ratios were applied to the specimen. During the tests, the temperature change was observed. The lowest entropy generation was 2.536 MJm-3 K-1 when 3,000N load with a stress ratio of 0.7 was applied to the specimen. The assumptions of the models were considered through graphical residual analysis. As a result, the predicted regression model based on the applied load and stress ratio was found to agree with the results of the experiment, with only 9.3% from the actual experiment. Therefore, the entropy generation can be predicted to access the dissipated energy as an irreversible degradation of a metallic material, subjected to cyclic elastic-plastic loading. Thermodynamic entropy is shown to play an important role in the fatigue process to trace the fatigue life |
| format | Article |
| id | doaj-art-6884fbec28a341cdb642804f4aa2de64 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2022-10-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-6884fbec28a341cdb642804f4aa2de642025-02-03T10:02:58ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932022-10-01166228930310.3221/IGF-ESIS.62.2110.3221/IGF-ESIS.62.21Multiple linear regression parameters for determining fatigue-based entropy characterisation of magnesium alloyM.A. FauthanS. AbdullahM.F. AbdullahI.F. MohamedThis paper presents the development of the multiple linear regression approach based on the stress ratio and applied load that was assessed using entropy generation. The energy dissipation is associated with material degradation to determine the fatigue life with consideration to the irreversible thermodynamic framework. This relationship was developed by predicting a complete entropy generation using a statistical approach, where a constant amplitude loading was applied to evaluate the fatigue life. By conducting compact tension tests, different stress ratios were applied to the specimen. During the tests, the temperature change was observed. The lowest entropy generation was 2.536 MJm-3 K-1 when 3,000N load with a stress ratio of 0.7 was applied to the specimen. The assumptions of the models were considered through graphical residual analysis. As a result, the predicted regression model based on the applied load and stress ratio was found to agree with the results of the experiment, with only 9.3% from the actual experiment. Therefore, the entropy generation can be predicted to access the dissipated energy as an irreversible degradation of a metallic material, subjected to cyclic elastic-plastic loading. Thermodynamic entropy is shown to play an important role in the fatigue process to trace the fatigue lifehttps://www.fracturae.com/index.php/fis/article/view/3538/3665entropyfatigue crack growthmagnesium alloymultiple linear regressionstress ratio |
| spellingShingle | M.A. Fauthan S. Abdullah M.F. Abdullah I.F. Mohamed Multiple linear regression parameters for determining fatigue-based entropy characterisation of magnesium alloy Fracture and Structural Integrity entropy fatigue crack growth magnesium alloy multiple linear regression stress ratio |
| title | Multiple linear regression parameters for determining fatigue-based entropy characterisation of magnesium alloy |
| title_full | Multiple linear regression parameters for determining fatigue-based entropy characterisation of magnesium alloy |
| title_fullStr | Multiple linear regression parameters for determining fatigue-based entropy characterisation of magnesium alloy |
| title_full_unstemmed | Multiple linear regression parameters for determining fatigue-based entropy characterisation of magnesium alloy |
| title_short | Multiple linear regression parameters for determining fatigue-based entropy characterisation of magnesium alloy |
| title_sort | multiple linear regression parameters for determining fatigue based entropy characterisation of magnesium alloy |
| topic | entropy fatigue crack growth magnesium alloy multiple linear regression stress ratio |
| url | https://www.fracturae.com/index.php/fis/article/view/3538/3665 |
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