Understanding the structure and properties of the heat affected zone in welds and model specimens of high-strength low-alloy steels after simulated heat cycles

Pryakhin, E. I.; Sharapova, D. M.

doi:10.17580/cisisr.2020.01.12

Cited by 10 publications

(7 citation statements)

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“…The drive for the highest possible efficiency in manufacturing is reflected in the growing development of complex production processes and specialized materials [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. In terms of manufacturing process development, this means a tendency to reduce the number of different production steps while using materials as efficiently as possible [ 11 , 12 , 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Development of a Thermomechanical Treatment Mode for Stainless-Steel Rings

et al. 2022

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This article describes a technology for the thermomechanical treatment of stainless-steel piston rings. This technology makes it possible to obtain rings with an optimal combination of plastic and strength properties that is essential for piston rings. The following thermomechanical treatment is suggested for piston rings manufacturing: quenching at 1050 °C, holding for 30 min and cooling in water, then straining by the HPT method for eight cycles at cryogenic temperature and annealing at a temperature up to 600 °C. The resulting microstructure consisted of fine austenite grains sized 0.3 μm and evenly distributed carbide particles. Annealing above this temperature led to the formation of ferrite in the structure; however, preserving the maximum fraction of austenitic component is very important, since the reduction of austenite in the structure will cause a deterioration of corrosion resistance. The strength properties of steel after such treatment increased by almost two times compared with the initial ones: microhardness increased from 980 MPa to 2425 MPa, relative elongation increased by 20%. The proposed technology will improve the strength and performance characteristics of piston rings, as well as increase their service life, which will lead to significant savings in the cost of repair, replacement and downtime.

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Section: Introductionmentioning

confidence: 99%

Development of a Thermomechanical Treatment Mode for Stainless-Steel Rings

et al. 2022

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“…Metrics such as precision, recall, and Dice coefficient were used to evaluate the quality of the models [22][23][24].…”

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confidence: 99%

Synthetic Data Generation for Steel Defect Detection and Classification Using Deep Learning

et al. 2021

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The paper presents a methodology for training neural networks for vision tasks on synthesized data on the example of steel defect recognition in automated production control systems. The article describes the process of dataset procedural generation of steel slab defects with a symmetrical distribution. The results of training two neural networks Unet and Xception on a generated data grid and testing them on real data are presented. The performance of these neural networks was assessed using real data from the Severstal: Steel Defect Detection set. In both cases, the neural networks showed good results in the classification and segmentation of surface defects of steel workpieces in the image. Dice score on synthetic data reaches 0.62, and accuracy—0.81.

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“…occur in their structure. The nucleation, growth, and accumulation of these defects in the metal structure lead to a decrease in the ability of the metal to resist deformation due to the loss of plasticity [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Effectiveness of Magnetic-Pulse Treatment for Healing Continuity Defects in the Metal of Oil and Gas Pipelines

Schipachev,

Aljadly,

Ganzulenko

et al. 2023

Metals

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This research paper addresses the issues in evaluating the effectiveness of magnetic-pulse treatment for healing continuity defects in the metal of oil and gas pipelines. A theoretical analysis of the magnetic-pulse action mechanism on continuity defects in the metal was carried out. The results of experimental studies of the effect of magnetic-pulse action on continuity defects of thick-walled samples, cut from used gas pipelines containing microcracks with different geometries, are also presented. The samples were processed under two different technological operating modes of the magnetic-pulse unit: the applied energy was 10 kJ for the first mode and 20 kJ for the second mode. The state of the cracks’ microstructure before and after the magnetic pulse treatment was studied using an optical microscope. As a result of the studies, it was found that magnetic-pulse treatment led to local heating of the crack tips, which was confirmed by the formation of a heat-affected zone in the vicinity of the crack tips. The temperature at the crack tips reached the metal’s melting point at the applied energy of 20 kJ, whereas at the energy of 10 kJ, signs of metal melting were not noted. In the course of the conducted experiments, it was found that the cracks were not completely eliminated after magnetic-pulse treatment; however, the edges of the crack tips melted, with subsequent filling by molten material. Magnetic-pulse treatment resulted in blunting of the crack tips, as their shape became smoother. It was established that the geometry and shape of the crack tip have significant influences on the effectiveness of this technology, as a narrow and sharp crack tip required less energy to reach the metal’s melting point compared to smoother one. The effect of magnetic pulse treatment on the microstructure of pipeline metal and its strength characteristics was also studied. It was found that this treatment leads to structural changes in the area of the crack tip in the form of grain refinement and subsequent strengthening of the pipeline metal.

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Understanding the structure and properties of the heat affected zone in welds and model specimens of high-strength low-alloy steels after simulated heat cycles

Cited by 10 publications

References 0 publications

Development of a Thermomechanical Treatment Mode for Stainless-Steel Rings

Development of a Thermomechanical Treatment Mode for Stainless-Steel Rings

Synthetic Data Generation for Steel Defect Detection and Classification Using Deep Learning

Evaluating the Effectiveness of Magnetic-Pulse Treatment for Healing Continuity Defects in the Metal of Oil and Gas Pipelines

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