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Creep Rupture Life Prediction Based on Analysis of Large Creep Deformation
A creep rupture life prediction method for high temperature component was proposed. The method was based on a true stress-strain elastoplastic creep constitutive model and the large deformation finite element analysis method. This method firstly used the
YE Wenming +3 more
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Prediction of Creep Rupture Life of 5Cr-0.5Mo Steel Using Machine Learning Models
The creep rupture life of 5Cr-0.5Mo steels used in high-temperature applications is significantly influenced by factors such as minor alloying elements, hardness, austenite grain size, non-metallic inclusions, service temperature, and applied stress. The
Muhammad Ishtiaq +4 more
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Through the study on high temperature creep data of HP heat resistant alloy, a prediction method of high temperature creep deformation based on Zc parameter was proposed. The creep resistance of HP heat resistant alloy was predicted by this method.
LI Hui-fang +5 more
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Creep deformation behavior and residual life prediction of low hardness P91 steel welded joints
The remaining creep life of the reheat section pipeline of low hardness P91 steel replaced in a certain power plant was studied. The rupture behavior of the joint was studied using metallographic microscope (OM), scanning electron microscope (SEM), and ...
Denghui Wang +5 more
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Reliability analysis of creep rupture dataset extrapolation methods for 316H austenitic stainless steel [PDF]
The prediction of the service life of high temperature structural components is critical to the safety of structures. Due to the scarcity of long-term test data, it is necessary to extrapolate and analyse the creep rupture data set to predict the life of
Ma Xiaotong +5 more
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Review of Creep Cavitation and Rupture of Low Cr Alloy and its Weldment [PDF]
This paper presents a review of creep cavitation and rupture of low Cr alloy and its weldment, particular in the heat-affected zone (HAZ). Creep damage is one of the serious problems for the high temperature industry.
Xu, Qiang +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
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The Larson–Miller parameter (LMP) offers an efficient and fast scheme to estimate the creep rupture life of alloy materials for high-temperature applications; however, poor generalizability and dependence on the constant C often result in sub-optimal ...
Osman Mamun +4 more
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The superheater and re-heater piping components in supercritical thermal power units are prone to creep and fatigue failure fracture after extensive use due to the high pressure and temperature environment.
Guangkui Liu +6 more
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The creep rupture life of a Ni-based single-crystal superalloy was evaluated under 980 °C/270 MPa after the superalloy was thermally exposed to temperatures of 900 °C, 950 °C, and 1100 °C for 100 h–500 h.
Wenyan Gan, Hangshan Gao, Zhixun Wen
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