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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- Creep-fatigue (2)
- Hold times (2)
- Life prediction (2)
- Low alloy steels (2)
- Strain range (2)
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- TP1-1185 (2)
- TP200-248 (2)
- Technology (2)
- Total strain range (2)
- Checmicals: Manufature, use, etc. (1)
- Chemical Technology (1)
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- Engineering (1)
- Equivalent factor on life (1)
- Factor of ± x2 (1)
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- Material-dependent equivalent strain rate (1)
- N&T heat treatment (1)
- Observed life (1)
- Over or under-predicted (1)
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Articles 1 - 5 of 5
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Creep Fatigue, Part Iii: Diercks Equation: Modification And Applicability, Tarun Goswami
Creep Fatigue, Part Iii: Diercks Equation: Modification And Applicability, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
Creep-fatigue data of low allow steels were compiled from international sources, and trends in creep-fatigue behavior were identified in Paper I. Methods of life prediction and their trends were examined in Paper II with respect to compiled data. Diercks equation, a multivariate creep-fatigue life extrapolation equation, for SS, 304, in terms of strain range, temperature, hold time and strain rate parameters is modified and extended to the life prediction of low alloy steels in this paper.
Applicability Of Modified Diercks Equation With Nrim Data, Tarun Goswami
Applicability Of Modified Diercks Equation With Nrim Data, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
The applicability of the modified Diercks equation (MDE) was assessed with elevated temperature low cycle fatigue (ETLCF) data generated by the National Research Institute for Metals (NRIM) for lCr-Mo-V, 1.25Cr-Mo, 2.25Cr-Mo and 9Cr-lMo steels respectively. The modified Diercks equation was assessed with data generated with symmetrical, slow-fast and hold-time waveforms for low alloy steels. The following characteristics were observed: Symmetrical waveforms: Five strain rates were used with these waveforms where predicted life was by a factor of ± x2 for 77%, 87%, 82% and 92% of data points for lCr-Mo-V, 1.25Cr-Mo, 2.25Cr-Mo and 9CrlMo steels respectively. Slow-fast waveforms: Diercks equation …
Creep Fatigue, Part I: Compilation Of Data And Trends In The Creep-Fatigue Behavior Of Low Alloy Steels, Tarun Goswami
Creep Fatigue, Part I: Compilation Of Data And Trends In The Creep-Fatigue Behavior Of Low Alloy Steels, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
This paper describes an attempt to compile the creep-fatigue data of low alloy steels. In part I, international data have been collected to compare the variability that exists in a particular low alloy steel when characterized in different laboratories. From this work of compilation, trends in the creep-fatigue behavior of low alloy steels have been identified in Part II of this paper and a review of life prediction methods and assessments will be discussed in subsequent papers. The creep-fatigue behavior, in general, improved with the increase in chromium content; however, when additional alloying elements were added to a standard alloy …
Creep Fatigue, Part Ii: Creep Fatigue Life Prediction: Methods And Trends, Tarun Goswami
Creep Fatigue, Part Ii: Creep Fatigue Life Prediction: Methods And Trends, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
Creep-fatigue data of low allow steels were compiled from international sources, and trends in creep-fatigue behavior were identified in Paper I. This paper reviews the methods of creep-fatigue life prediction that were assessed from the compiled data. The methods reviewed in this paper are phenomenological in nature. However, an empirical method has also been discussed which offers very high reliability of the prediction capability. Various test requirements, from which material parameters are determined for each method, have been tabulated. No single method has been generalized as a best method of life prediction for all types of creep-fatigue test conditions.
Creep-Fatigue Life Prediction - A Ductility Model, Tarun Goswami
Creep-Fatigue Life Prediction - A Ductility Model, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
Creep-fatigue life prediction methods are briefly reviewed. Phenomenological methods of life prediction are very popular, since they use several test and metallographic parameters in model formulation. They also require numerous test parameters determined from specialized tests. Requirements of phenomenological methods have been summarized. Ductility measurement and modeling aspects have been reviewed. A new model has been developed with the assumption that with increasing fatigue cycles the ductility gradually decreases and the specimen fails as a result of exhaustion of ductility. This has been achieved in terms of dynamic viscosity (product of stress and cycle time), equated with material toughness, which …