A scaling approach to size effect modeling of J CDF for 20MnMoNi55 reactor steel in transition temperature region

Mastilović, Sreten; Đorđević, Branislav; Sedmak, Aleksandar

doi:10.1016/j.engfailanal.2021.105838

Cited by 11 publications

(2 citation statements)

References 34 publications

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“…The Weibull distribution is also commonly applied to model wind speed data [14]. The Weibull model has also been applied to the analysis of such diverse phenomena as the combined effect of temperature and water activity on thermal resistance of bacteria [15] or the fracture toughness characterization of ferritic steels in ductile-to-brittle transition temperature region [16].…”

Section: B Weibull Modeling Of Physical Phenomenamentioning

confidence: 99%

Modeling the effect of temperature on relative humidity sensing

Nikolić

Mastilović

2023

2023 46th International Spring Seminar on Electronics Technology (ISSE)

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In this work we have established a mathematical function to model the influence of the ambient temperature, relative humidity and frequency on the change of impedance. The proposed empirical description is a combination of the power function (modeling the temperature effect) and a reverse-sigmoid function inspired by the three-parameter Weibull cumulative distribution function (modeling the relative humidity and frequency effects). This empirical model was validated by using our iron manganite (FeMnO 3 ) thick film measurement data. The reduction of impedance of thick film samples with change in relative humidity in the range 30-90% was measured in a temperature and climatic chamber in the frequency range 42 Hz -1 MHz at three ambient/working temperatures (25, 50 and 75 C). The obtained experimental data was successfully fitted using the specially tailored empirical model. Application of this model enables prediction of the iron manganite sensor performance for different temperatures both within the confines of the analyzed temperature range (interpolation) and outside of it (extrapolation). Future development will include applying this model to analyzing the temperature influence on relative humidity sensing for other metal oxide sensing materials that have shown a similar dependence and in a wider ambient temperature range.

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Section: B Weibull Modeling Of Physical Phenomenamentioning

confidence: 99%

Modeling the effect of temperature on relative humidity sensing

Nikolić

Mastilović

2023

2023 46th International Spring Seminar on Electronics Technology (ISSE)

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“…Parts of process equipment facility are exposed to the (in-service) conditions that could lead to damaging (best scenario) or failure (yet, still not the worst scenario), pulling along all other effects [1][2][3][4], with safety and economic ones being most important. Cracks and defects as well as their influence on structural integrity in general can be observed by applying various approaches, such as fracture mechanics [5][6][7][8], risk analysis and failure assessment diagram [9,10], or full scale testing [11][12][13] etc. However, elevated temperature influence in combination with aggressive environment/working fluid makes the problem more complex.…”

Section: Introductionmentioning

confidence: 99%

Welding Joint Made of Two Different Austenitic Materials

Đorđević,

Vučetić,

Sedmak

et al. 2023

MSF

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Using austenitic steel in welding structures requires both destructive and non-destructive testing (NDT) to approve the use of intended welding specification, but also testing of material properties, even if they are guaranteed by manufacturer. In this particular case, X2CrNiMo17-12-2 (commercial trademark AISI 316L) is the material that has to be partly replaced by NiCr21Mo (commercial trademark Incoloy 825) in a piece of process equipment exposed to elevated temperature and highly corrosive environment. This research presents an investigation of overmatching V groove welded joint made of these two austenitic steels. Due to materials properties and specific application conditions, low heat input TIG welding was utilized. Mechanical properties of welded joint have been examined to check criteria which guarantees safe work and integrity of welded components. Chemical composition of used filler material was close to the one of NiCr21Mo alloy, providing weld overmatching, which needs to be checked as well. Mechanical testing (tensile, bending, impact, hardness), macro-and microstructure analysis provided detailed insight into welded joint characteristics and a ground for further investigation concerning heterogeneous austenitic welded joint, taking into account overmatching effect.

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Constraint loss correction: Enhancing transferability of fracture toughness of Eurofer97 compact tension specimens between specimen sizes

Baykal,

Spätig

2023

Engineering Fracture Mechanics

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A scaling approach to size effect modeling of J CDF for 20MnMoNi55 reactor steel in transition temperature region

Cited by 11 publications

References 34 publications

Modeling the effect of temperature on relative humidity sensing

Modeling the effect of temperature on relative humidity sensing

Welding Joint Made of Two Different Austenitic Materials

Constraint loss correction: Enhancing transferability of fracture toughness of Eurofer97 compact tension specimens between specimen sizes

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