Possibilities of diagnosis of stress corrosion cracking of main gas pipelines from the point of view of microbiology

Volgina, N. I.; Shul’gin, A. V.; Khlamkova, S. S.

doi:10.1016/j.matpr.2020.08.224

Cited by 5 publications

(4 citation statements)

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“…The boundaries of the initial austenite grains serve as the nucleation sites of dynamically recrystallized grains. Therefore, with an increase in the size of the initial grains, accompanied by a decrease in the area of their boundaries, there is an increase in the critical deformation required for the start of dynamic recrystallization [19].…”

Section: Resultsmentioning

confidence: 99%

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Study on the Hot Deformation Behavior of Stainless Steel AISI 321

et al. 2022

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In this study, the hot deformation behavior of austenitic Ti-modified AISI 321 steel with a relatively high content of carbon (0.07 wt.%) and titanium (0.50 wt.%) was studied in the temperature range of 1000–1280 °C and strain rates in the range of 0.01–1 s−1. Hot deformation was carried out with uniaxial compression of cylindrical specimens on a Gleeble 3800 thermomechanical simulator. It is shown that the flow stress increased with a decrease in the deformation temperature and an increase in the strain rate. The shape of the stress-strain curves indicates that, at high temperatures and low strain rates, the hot deformation of AISI 321 steel was accompanied by dynamic recrystallization. The passage of dynamic recrystallization was confirmed by microstructural studies. Hyperbolic sine type of constitutive equation with deformation activation energy Q = 444.2 kJ·mol−1 was established by analyzing the experimental flow stresses. The power-law dependences of the critical strain necessary for the onset of dynamic recrystallization and the size of recrystallized grains on the Zener–Hollomon parameter were established. The value of the parameter Z = 5.6 × 1015 was determined, above which the dynamic recrystallization was abruptly suppressed in the steel under study. It is speculated that the suppression of dynamic recrystallization occurs due to dispersed precipitates of titanium carbonitrides.

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Section: Resultsmentioning

confidence: 99%

“…In AISI 321 steels, titanium additives prevent the precipitation of chromium carbides and thereby reduce the tendency to intergranular corrosion [1,19,20]. Titanium additives also affect the behavior of AISI 321 steel during hot deformation.…”

Section: Introductionmentioning

confidence: 99%

Study on the Hot Deformation Behavior of Stainless Steel AISI 321

et al. 2022

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“…As titanium is a powerful carbide-forming element, it preferentially binds carbon and thereby advantageously reduces the probability of the formation of undesirable (Fe, Cr) 23 C 6 carbides, which negatively affect the material properties in the temperature range of 400-800 • C [23,24]. The formation of Cr 23 C 6 carbides at grain boundaries reduces the amount of dissolved chromium, thereby decreasing the corrosion resistance [25,26]. Titanium does not only react with carbon and nitrogen to produce carbonitrides [27], but also decreases the susceptibility to intergranular stress corrosion cracking by minimizing chromium carbide precipitation along the grain boundaries [28], and effectively suppresses recrystallization during forming [29], all of which enhances the mechanical properties and increases the lifetime of the final products [30,31].…”

Section: Introductionmentioning

confidence: 99%

Determining Hot Deformation Behavior and Rheology Laws of Selected Austenitic Stainless Steels

Němec,

Kunčická,

Opěla

et al. 2023

Metals

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Due to their versatile properties, austenitic stainless steels have a wide application potential, including in specific fields, such as the nuclear power industry. ChN35VT steel is a chromium–nickel–tungsten type of steel stabilized by titanium, and it is suitable for parts subjected to considerable mechanical stress at elevated temperatures. However, the available data on its deformation behavior at elevated/high temperatures is scarce. The core of the presented research was thus the experimental characterization of the deformation behavior of the ChN35VT steel under hot conditions via the determination of flow stress curves, and their correlation with microstructure development. The obtained data was further compared with data acquired for 08Ch18N10T steel, which is also known for its applicability in the nuclear power industry. The experimental results were subsequently used to determine the Hensel-Spittel rheology laws for both the steels. The ChN35VT steel exhibited notably higher flow stress values in comparison with the 08Ch18N10T steel. This difference was more significant the lower the temperature and the higher the strain rate. Considering the peak stress values, the lowest difference was ~8 MPa (1250 °C and 0.01 s−1), and the highest was ~150 MPa (850 °C and 10 s−1). These findings also corresponded to the microstructure developments—the higher the deformation temperature, the more negligible the observed differences as regards the grain size and morphology.

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“…As the important carrier of gas transportation, gas pipelines play a vital role in gas transmission, such as gas and natural gas, thus bringing many conveniences and economic benefits to daily life and industrial production. Gas pipelines are mainly buried underground with intricate pipelines [1], and corrosion, holes, and breakage can occur over the years [2][3][4], leading to pipeline leaks. Pipeline leakage not only wastes energy and causes economic loss, but it may also threaten people's life safety in serious cases [5].…”

Section: Introductionmentioning

confidence: 99%

Image Recognition Method for Micropores Inside Small Gas Pipelines

Zhao,

Su,

Zhou

et al. 2023

Applied Sciences

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To address difficulties in the early detection of small gas pipeline leaks, a method is proposed for the image recognition of micropores inside small gas pipelines. First, we design a feature fusion network (Neck) for a small gas pipeline internal micropores identification network model, introducing BiFPN (bi-directional feature pyramid network) into the Neck, and enhancing the micropores feature fusion capability of the network model using cross-scale feature information fusion. Second, we design a classification prediction network (Head) for a small gas pipeline internal micropores identification network model, constructing a small target detection layer in the classification prediction network, and improving the microporosity detection rate of the network model by improving the detection capability for small leakages. Then, micropore datasets are fed into the network model separately to train the model. Finally, comparison and ablation experiments are used to verify the micropore recognition ability of the network model. The experimental results show that the precision of the image recognition method for micropores inside small gas pipelines is 94.7%, the detection rate is 96.6%, and the average precision is 95.5%, which can better realize the early detection of leakages in small gas pipelines.

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Possibilities of diagnosis of stress corrosion cracking of main gas pipelines from the point of view of microbiology

Cited by 5 publications

References 1 publication

Study on the Hot Deformation Behavior of Stainless Steel AISI 321

Study on the Hot Deformation Behavior of Stainless Steel AISI 321

Determining Hot Deformation Behavior and Rheology Laws of Selected Austenitic Stainless Steels

Image Recognition Method for Micropores Inside Small Gas Pipelines

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