Properties of the simulated coarse-grained microstructure of quenched and tempered high-strength steel

Celin, Roman; Kafexhiu, Fevzi; Klančnik, Grega; Burja, Jaka

doi:10.17222/mit.2020.144

Cited by 4 publications

(2 citation statements)

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“…Various high‐strength steels were compared with estimated and experimental values for specific total strain amplitudes. Comparison of the estimated values with the experimental values by different authors 38,43,46,53 gives a different perspective. The experimental fatigue life and the authors' estimated fatigue life were compared in Figure 8.…”

Section: Annsmentioning

confidence: 99%

Low‐cycle fatigue parameters and fatigue life estimation of high‐strength steels with artificial neural networks

Soyer

Kalaycı

Karakaş

2022

Fatigue Fract Eng Mat Struct

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Fatigue life estimation is essential for life safety and cost reasons. Fatigue parameters at low cycles must be estimated with high accuracy to correctly estimate fatigue life. Conventional equations for parameters at low cycles are inadequate and unable to calculate the values correctly. Artificial neural networks (ANNs) are used to estimate and optimize the parameters and are more accurate than traditional equations. This study aims to estimate the fatigue parameters at low cycles and fatigue life by ANN with basic tensile properties of high-strength steels (HSSs), which can be easily obtained from the literature. In particular, the fatigue strength exponent and fatigue ductility exponent primarily characterize the strain-life curve, and the estimation of these parameters is extremely important. To improve the accuracy of the estimation, activation functions, epoch numbers, training functions, elapsed times of training functions, and the number of hidden neurons is compared and determined.

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Section: Annsmentioning

confidence: 99%

Low‐cycle fatigue parameters and fatigue life estimation of high‐strength steels with artificial neural networks

Soyer

Kalaycı

Karakaş

2022

Fatigue Fract Eng Mat Struct

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“…When compared to arc welding technologies, HAZ of laser-welded joints have different properties because of their higher heating and cooling rates and lower heat input. While a higher heating rate increases A c1 and A c3 temperature values, decreasing the width of the CGHAZ, FGHAZ, and ICHAZ subzones [20,21], a higher cooling rate promotes the development of harder and stronger structures in these areas. The lower heat input has also a partial effect on the properties of the structures in the SCHAZ area, which, due to the narrowed temperature elds and lower soaking times, are less tempered as a result of the welding process [22].…”

Section: Introductionmentioning

confidence: 99%

Softening Effect in the Heat-Affected Zone of Laser-Welded Joints of High-Strength Low-Alloyed steels

Frátrik,

Mičian,

Brůna

2023

Preprint

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The softening effect, which occurs as an undesirable consequence of microstructural changes in the heat affected zone (HAZ) as a result of the welding process, is an inherent aspect of welding high-strength low-alloyed (HSLA) steels. One of the recommended ways to minimize these changes is the application of laser beam welding (LBW) as a lower heat input technology. Hence, this work compares and investigates the effects of laser beam welding on the properties of weld joints made of the steels S690QL, S960QL, S1100QL, S700MC, S960MC, and S1100MC. The main objective of this work is to examine the variations in the mechanical properties, grain size, and microstructure of the HAZ of different structural materials welded under various conditions. For laser-welded HSLA steels, the results showed no significant changes in the weld joint properties when the heat input was increased. When individual steels are compared, more obvious changes in the softening effect, grain growth, and the extent of the coarse-grain HAZ (CGHAZ) are evident. According to measured values it has been demonstrated that as the amount of Nb, V, and Ti in material decreases, the grain size in the coarse-grain HAZ (CGHAZ) and the zones’ overall width increases. It was also further demonstrated that the Cr and Mo content had a significant impact on the weld metal's hardness in laser-welded weld joints. These variations can be explained by the initial microstructure and the different chemical composition, which have an impact on the softening characteristics, austenitic grain growth, and the size of the CGHAZ.

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Softening effect in the heat-affected zone of laser-welded joints of high-strength low-alloyed steels

Mičian,

Frátrik,

Brůna

2024

Weld World

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The softening effect, which occurs as an undesirable consequence of microstructural changes in the heat-affected zone as a result of the welding process, is an inherent aspect of welding high-strength low-alloyed steels. One of the recommended ways to minimize these changes is the application of laser beam welding as a lower heat input technology. Hence, this work compares and investigates the effects of laser beam welding on the weld joint properties of S690QL, S960QL, S1100QL, S700MC, S960MC, and S1100MC steels. This research operates on the assumption that the mechanical properties of the zones surrounding the soft zone—base metal and weld metal—affect the mechanical properties of weld joints as well. The work shows that the total value of yield strength, tensile strength, and elongation of welded joints increases when the value of the strength of the weld metal and the soft zone increases and when the width of the soft zone narrows, and vice versa. Furthermore, the study demonstrates that the amount of C, Cr, Mn, Mo, Cu, and Ni in steel as well as the thermal cycle is directly associated to strength in these zones. The findings indicate that although the welded joints’ yield strength and tensile strength values remained over 96% of the base metal’s value, in certain cases the elongation values decreased to a mere 21% of the base metal’s value.

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Properties of the simulated coarse-grained microstructure of quenched and tempered high-strength steel

Cited by 4 publications

References 0 publications

Low‐cycle fatigue parameters and fatigue life estimation of high‐strength steels with artificial neural networks

Low‐cycle fatigue parameters and fatigue life estimation of high‐strength steels with artificial neural networks

Softening Effect in the Heat-Affected Zone of Laser-Welded Joints of High-Strength Low-Alloyed steels

Softening effect in the heat-affected zone of laser-welded joints of high-strength low-alloyed steels

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