Investigation of metal damage by thermodynamic method
The relevance of the discussed issue is caused by the need to increase the accuracy of predicting accumulation and development of damage under cycling load. The main aim of the study is to resolve some contradictions of traditional energy-sensitive methods of studying damage on the basis of the deve...
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| Format: | Article |
| Language: | Russian |
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Tomsk Polytechnic University
2019-05-01
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| Series: | Известия Томского политехнического университета: Инжиниринг георесурсов |
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| Online Access: | http://izvestiya-tpu.ru/archive/article/view/1551 |
| Summary: | The relevance of the discussed issue is caused by the need to increase the accuracy of predicting accumulation and development of damage under cycling load. The main aim of the study is to resolve some contradictions of traditional energy-sensitive methods of studying damage on the basis of the developed thermodynamic approach which essentially increases the accuracy of predicting the fatigue process. The author has considered macroelastic deformation thermodynamics and proposed a new criterion of accumulation and development of damage. This criterion is divided into functional parts increment of specific entropy for one cycle of oscillation. Entropy is such parameter, which takes into accounts all nonreversed changes in testing object best of all. It is important as well, that as entropy is the state function, its change at object state transition characterizes all dissipative processes without regard for including accumulation and development of damage, independently of the detailed changes in the object. It should be noted as well that not the entropy itself has physical sense, but entropy difference at object transfer from state 1 to state 2. The results. Such approach allowed taking into account on formal level almost everything that happens in a damage domain, solving contradictions of traditional energy-sensitive methods and elaborating the practical methods to predict the main characteristics of cyclic durability of machine details. These characteristics improved the accuracy in prediction and simplified its technology. |
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| ISSN: | 2500-1019 2413-1830 |