Results 1 to 10 of about 507 (97)

Interpretable Predicting Creep Rupture Life of Superalloys: Enhanced by Domain‐Specific Knowledge [PDF]

open access: yesAdvanced Science
Evaluating and understanding the effect of manufacturing processes on the creep performance in superalloys poses a significant challenge due to the intricate composition involved.
Jiawei Yin   +9 more
doaj   +3 more sources

Machine learning-based predictions and analyses of the creep rupture life of the Ni-based single crystal superalloy [PDF]

open access: yesScientific Reports
The evaluation of creep rupture life is complex due to its variable formation mechanism. In this paper, machine learning algorithms are applied to explore the creep rupture life span as a function of 27 physical properties to address this issue.
Fan Zou   +3 more
doaj   +2 more sources

Enhancing creep rupture life prediction of high‐temperature titanium alloys using convolutional neural networks

open access: yesMaterials Genome Engineering Advances
Prediction of creep rupture life of high‐temperature titanium alloys is crucial for their practical applications. The efficient representations (features) of the information encoded in the data are essential to achieve an accurate prediction model. Here,
Bangtan Zong   +5 more
doaj   +2 more sources

Significant reduction in creep life of P91 steam pipe elbow caused by an aberrant microstructure after short-term service [PDF]

open access: yesScientific Reports
P91 steel is an important steam pipe for ultra-supercritical power plants due to its excellent creep strength, which generally has a design life of 100,000 h.
Hongyu Zhou   +7 more
doaj   +2 more sources

Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks [PDF]

open access: yesScientific Reports
With the increased use of data-driven approaches and machine learning-based methods in material science, the importance of reliable uncertainty quantification (UQ) of the predicted variables for informed decision-making cannot be overstated.
Longze Li   +5 more
doaj   +2 more sources

The rupture life prediction in cold dwell fatigue of Ti-6Al-4V based on the creep deformation [PDF]

open access: yesMATEC Web of Conferences, 2020
Titanium a lloys have been found that the fatigue strength of Ti alloys decreases due to cold dwell fatigue (CDF) at room temperature. Ti and Ti alloys generate creep deformation at room temperature (T/Tm = 0.15).
Ota Yutaro   +2 more
doaj   +1 more source

Influence of constitutive model on calculation results of creep deformation response of notched specimen of GH4169 alloy

open access: yesJournal of Aeronautical Materials, 2021
In view of the creep deformation failure of areo-engine high temperature components, the elastoplastic and creep deformation response of GH4169 alloy smooth and notched plate specimens at 650 ℃ is calculated using elastoplastic coupled creep constitutive
HU Xianming   +3 more
doaj   +1 more source

Machine Learning-Based Framework for Predicting Creep Rupture Life of Modified 9Cr-1Mo Steel

open access: yesApplied Sciences, 2023
Efficient and accurate predictions of creep rupture life are essential for ensuring the integrity of high-temperature components. In this work, a machine learning-based framework is developed for the quick screening of crucial features and accurate ...
Mengyu Chai   +5 more
doaj   +1 more source

Creep-fatigue life prediction of perforated copper-alloy plate by using digital image correlation method

open access: yesNihon Kikai Gakkai ronbunshu, 2021
LE-9 rocket engine for H3 launch vehicle is being developed for realizing high performance, low cost and high reliability. Thermal fatigue life prediction on a combustion chamber structure with multiple cooling holes is important for design of rocket ...
Tatsuya KAMEYAMA   +6 more
doaj   +1 more source

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