Creep Characteristics of Engineering Materials

Dobrzański, J.; Zieliński, A.

doi:10.5772/intechopen.86078

Cited by 3 publications

(4 citation statements)

References 23 publications

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“…During the service life of the pavement, asphalt is exposed to low temperatures, which tend to alter the rheological behavior. Different studies have concluded that asphalt binder behavior is the dominant component for low-temperature performance of the asphalt pavement mixtures [30]. Therefore, it is very important to study the asphalt binder characterize at low temperatures to have a clear picture of factors that affect the low temperature behavior of pavement.…”

Section: Asphalt Binder Characterization and Tests At Low Temperaturesmentioning

confidence: 99%

“…As part of the diagnostics, it is necessary to perform the condition assessment not only for the basic material of the components working under creep conditions but also for the material of welded joints. The condition assessment of the welded joint material is necessary to determine the ability of the components to transfer the required service loads during their further service [21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

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Creep Characteristics of Engineering Materials

ski¹,

Sroka²,

ski³

et al. 2020

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He specializes in the study of structure, heat treatment, and properties of engineering materials, mainly creep-resistant alloys. He is the author and coauthor of about 230 scientific publications worldwide, including five monographs and books, and more than 30 publications in the Philadelphia list. He has won 15 awards. He is also the author and coauthor of about 90 research works and gives expert opinions for industries.

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Section: Asphalt Binder Characterization and Tests At Low Temperaturesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Creep Characteristics of Engineering Materials

ski¹,

Sroka²,

ski³

et al. 2020

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“…The main purpose of making such a model is to reduce the costs associated with materials testing of these steels and faster access to the results of calculations. The use of artificial intelligence enables the advancement of stainless steel technology in multiple ways, even though only a small number of definition vectors are available [1][2][3][4][5][6][7]. In recent years, many scientists from around the world have dealt with the topic of the application of artificial intelligence algorithms in material engineering.…”

Section: Introductionmentioning

confidence: 99%

Archives of Metallurgy and Materials

Honysz¹

2020

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The article presents a computational model build with the use of artificial neural networks optimized by genetic algorithm. This model was used to research and prediction of the impact of chemical elements and heat treatment conditions on the mechanical properties of ferrite stainless steel. Optimization has allowed the development of artificial neural networks, which showed a better or comparable prediction result in comparison to un-optimized networks has reduced the number of input variables and has accelerated the calculation speed. The introduced computational model can be applied in industry to reduce the manufacturing costs of materials. It can also simplify material selection when an engineer must properly choose the chemical elements and adequate plastic and/or heat treatment of stainless steels with required mechanical properties.

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“…2. Isothermal cross-section of the Al-Mg-Si equilibrium plot at solvus solubility temperature [11] As it results from the Al-Si-Mg equilibrium phase diagram, at a concentration above 0.2% Mg, the triple α+Mg2Si+β eutectic crystallises from the liquid. Its equilibrium melting point is ~550°C.…”

Section: Introductionmentioning

confidence: 99%

Heat Treatment of Al-Si-Cu Alloys

Krupiński

Król

Maniara³

2018

SSP

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The aim of the presented work is an effort to answer the research questions, i.e. how to determine the optimal supersaturation temperature for multicomponent alloys? What is the relationship between changes in the derivative curve of composites and the relationship between their chemical composition and microstructure? Searching for the right answer to the above questions was the basis for determining the scope and methodology of the presented work. To describe the phenomena that occur in the material during solidification under various conditions caused by the variable cooling rate and variable chemical composition it was decided to use thermal-derivative analysis methods. The mentioned method allows to accurately describe and interpret the kinetics of the crystallization of the tested materials. This method is often used in the search for new directions of modern technologies, attractive from both experimental and cognitive. This methodology allows to determine the relationship between crystallization kinetics and usable casting properties on the example of Al-Si-Cu alloys and other alloying elements.

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Creep Characteristics of Engineering Materials

Cited by 3 publications

References 23 publications

Creep Characteristics of Engineering Materials

Creep Characteristics of Engineering Materials

Archives of Metallurgy and Materials

Heat Treatment of Al-Si-Cu Alloys

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