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It is difficult to simultaneously increase strength and toughness of austenitic stainless steels through traditional heat treatment and alloying. However, adding nano-sized ceramic particles is a potential method to manipulate the microstructure and ...
Qianwei Chen +8 more
doaj +1 more source
Decomposition of Austenite in Austenitic Stainless Steels
Austenitic stainless steels are probably the most important class of corrosion resistant metallic materials. In order to attain their good corrosion properties they rely essentially on two factors: a high chromium content that is responsible for the protective oxide film layer and a high nickel content that is responsible for the steel to remain ...
A. F. Padilha, P. R. Rios
openaire +2 more sources
Predicting the Ms temperature of lean alloyed ferritic–austenitic stainless steels
A set of laboratory hot-rolled and thermally cycled 19–22 wt% Cr lean alloyed ferritic–austenitic stainless steels were studied with respect to calculated equilibrium austenite composition and experimental martensite start (Ms) temperature.
Sampo Uusikallio +4 more
doaj +1 more source
Nowadays engine capacities of vehicles spread in a wide range due to different vehicle power demands. Power density of engines affects exhaust gas and therefore exhaust gas temperature varies from 650 °C to 1000 °C in exhaust manifolds.
Çelik G. Aktaş +3 more
doaj +1 more source
Development and Validation of Radiation Embrittlement Prediction Model of Austenitic Stainless Steel
Austenitic stainless steels are used as important structural materials in nuclear reactors due to their high fracture toughness. In the process of long-term service, austenitic stainless steel will be subjected to neutron irradiation to cause ...
JIA Lixia, WANG Dongjie, HE Xinfu, WU Shi, YANG Wen
doaj +1 more source
In austenitic stainless steels, plastic deformation can induce martensite formation. The induced martensite is related to the austenite (gamma) instability at temperatures close or below room temperature.
Hamilton Ferreira Gomes de Abreu +6 more
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Machine learning is extensively utilized for predicting creep rupture of high-temperature steels. Recently, five soft-constrained machine learning algorithms (SCMLAs) have been developed to enhance the extrapolation capabilities of machine learning ...
Jun-Jing He, Rolf Sandström, Jing Zhang
doaj +1 more source
Carbon‐free inert anodes are essential for decarbonizing aluminum electrolysis. This study investigates a recyclate‐based MgO‐316L steel composite anode tested under galvanostatic Hall–Héroult conditions in cryolite at 1000°C. Microstructural analysis reveals selective MgO fluorination, spinel and oxide layer formation, electrolyte infiltration, and ...
Serhii Yaroshevskyi +7 more
wiley +1 more source
Tailored thermo‐mechanical properties of shape memory polymer composites enable large reversible deformation as well as high actuation speed. Moreover, a structural design with curvature in the transverse direction achieves sub‐second actuation on heating and a larger recovery ratio on cooling. Finally, these newly developed smart two‐way actuators can
Dajeong Kang +6 more
wiley +1 more source
The quest for affordable and price-stable alternatives for nickel as the main austenitizing alloying element is pushing the stainless steel industries to develop new types of Ni-lean austenitic stainless steels.
Victor Hugo Mafra Monfredo Ferreira +3 more
doaj +1 more source

