Thermomechanical fatigue behavior and lifetime modeling of powder metallurgy superalloy considering phase angle effect

Article Engineering, Multidisciplinary

Ensemble learning for remaining fatigue life prediction of structures with stochastic parameters: A data-driven approach

S. Z. Feng et al.

Summary: The proposed approach utilizes ensemble learning algorithm to predict the RFL of structures with stochastic parameters, showing effectiveness in learning degradation patterns from XFEM datasets and predicting RFL accurately.

APPLIED MATHEMATICAL MODELLING (2022)

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Article Engineering, Mechanical

A holistic approach to Thermo-Mechanical Fatigue phase angle effects for an aerospace nickel superalloy

V Gray et al.

Summary: This study focuses on the TMF behavior of aerospace nickel based superalloy RR1000, proposing an elastic modulus normalization technique to predict material life, with a specific emphasis on the impact of phase angle in TMF lifing.

INTERNATIONAL JOURNAL OF FATIGUE (2022)

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Article Engineering, Mechanical

The potency of defects on fatigue of additively manufactured metals

Xin Peng et al.

Summary: A novel machine learning approach was developed to predict the fatigue life of laser powder bed fused AlSi10Mg alloy, with important parameters including applied stress and critical defect characteristics. The model accurately predicted fatigue lives, showing the significance of defect projected area in limiting fatigue life.

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES (2022)

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Article Engineering, Mechanical

Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L

Zhixin Zhan et al.

Summary: In aerospace engineering, a platform is developed for data-driven fatigue life prediction of AM stainless steel 316L, utilizing ML models like ANN, RF, and SVM. The effectiveness of the platform is verified through comparisons with experimental data, and detailed parametric studies using ML models are conducted to investigate significant characteristics.

INTERNATIONAL JOURNAL OF FATIGUE (2021)

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Article Engineering, Mechanical

A machine learning framework to predict local strain distribution and the evolution of plastic anisotropy & fracture in additively manufactured alloys

Waqas Muhammad et al.

Summary: In this research, a machine learning-based framework was proposed to successfully predict the evolution of local strain distribution, plastic anisotropy and failure during tensile deformation of AlSi10Mg aluminum alloy. Combining additive manufacturing and artificial intelligence methods, the framework provides a new predictive approach for microstructure-property-performance relationships of engineering materials.

INTERNATIONAL JOURNAL OF PLASTICITY (2021)

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Article Computer Science, Artificial Intelligence

Probabilistic physics-guided machine learning for fatigue data analysis

Jie Chen et al.

Summary: The PPgNN model proposed in this paper offers flexibility and incorporates known physics/knowledge constraints, resulting in accurate and physically consistent results compared to classical machine learning models.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

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Article Chemistry, Physical

Effect of shot peening on notched fatigue performance of powder metallurgy Udimet 720Li superalloy

Chengli Dong et al.

Summary: The study demonstrates that shot peening results in a more disorganized surface with larger hardness gradient. Furthermore, the residual stress is deeper and more evenly distributed after shot peening treatment.

INTERMETALLICS (2021)

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Article Engineering, Mechanical

A deep learning based life prediction method for components under creep, fatigue and creep-fatigue conditions

Xiao-Cheng Zhang et al.

Summary: The study introduces a deep learning method for predicting the life of austenitic stainless steel under creep, fatigue, and creep-fatigue conditions. Results demonstrate that the deep learning model outperforms conventional machine learning models in terms of prediction accuracy and generalization ability.

INTERNATIONAL JOURNAL OF FATIGUE (2021)

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Article Chemistry, Physical

Thermomechanical fatigue damage mechanism and life assessment of a single crystal Ni-based superalloy

Junjie Yang et al.

Summary: This study investigates the mechanical behavior, damage mechanism, and ratcheting effect of a single-crystal Ni-based superalloy under thermomechanical fatigue loading. The SEM analysis identified the key factors affecting the TMF damage, differentiating between IP and OP loading mechanisms. A fatigue life prediction model considering the ratcheting effect was proposed, showing good agreement with experimental data and potential for fatigue life prediction of the material under TMF loading.

JOURNAL OF ALLOYS AND COMPOUNDS (2021)

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Review Engineering, Mechanical

Fatigue crack growth mechanisms in powder metallurgy Ni-based superalloys-A review

R. Jiang et al.

INTERNATIONAL JOURNAL OF FATIGUE (2020)

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Article Nanoscience & Nanotechnology

Microstructure and mechanical behaviour of an advanced powder metallurgy nickel base superalloy processed through hot isostatic pressing route for aerospace applications

B. Sreenu et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2020)

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Article Energy & Fuels

A comparison of random forest and support vector machine approaches to predict coal spontaneous combustion in gob

Changkui Lei et al.

FUEL (2019)

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Article Engineering, Mechanical

High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach

Meng Zhang et al.

INTERNATIONAL JOURNAL OF FATIGUE (2019)

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Article Engineering, Mechanical

Effect of temperature range on thermal-mechanical fatigue properties of P92 steel and fatigue life prediction with a new cyclic softening model

Jian-bin Wen et al.

INTERNATIONAL JOURNAL OF FATIGUE (2019)

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Article Nanoscience & Nanotechnology

Isothermal and thermomechanical fatigue behavior of Inconel 718 superalloy

Wenkai Deng et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2019)

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Article Engineering, Mechanical

Thermal-mechanical fatigue behavior and lifetime prediction of P92 steel with different phase angles

Xiang-Ming Pan et al.

INTERNATIONAL JOURNAL OF FATIGUE (2018)

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Article Nanoscience & Nanotechnology

Thermo-mechanical fatigue behavior and life prediction of the Al-Si piston alloy

M. Wang et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2018)

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Article Engineering, Mechanical

The influence of phase angle, strain range and peak cycle temperature on the TMF crack initiation behaviour and damage mechanisms of the nickel-based superalloy, RR1000

Jonathan Jones et al.

INTERNATIONAL JOURNAL OF FATIGUE (2017)

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Article Engineering, Mechanical

An approach to lifetime prediction for a wrought Ni-base alloy under thermo-mechanical fatigue with various phase angles between temperature and mechanical strain

Stefan Guth et al.

INTERNATIONAL JOURNAL OF FATIGUE (2017)

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Article Engineering, Mechanical

Effect of notches on creep-fatigue behavior of a P/M nickel-based superalloy

J. Telesman et al.

INTERNATIONAL JOURNAL OF FATIGUE (2016)

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Review Geography, Physical

Random forest in remote sensing: A review of applications and future directions

Mariana Belgiu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)

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Article Materials Science, Multidisciplinary

Fatigue life modeling of a single crystal superalloy and its thin plate with a hole at elevated temperature

Chengli Dong et al.

MATERIALS & DESIGN (2015)

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Article Nanoscience & Nanotechnology

Influence of phase angle on lifetime, cyclic deformation and damage behavior of Mar-M247 LC under thermo-mechanical fatigue

Stefan Guth et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2015)

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Review Multidisciplinary Sciences

Machine learning: Trends, perspectives, and prospects

M. I. Jordan et al.

SCIENCE (2015)

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Article Nanoscience & Nanotechnology

Deformation mechanisms of a nickel-based single-crystal superalloy during low-cycle fatigue at different temperatures

X. G. Wang et al.

SCRIPTA MATERIALIA (2015)

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Article Computer Science, Artificial Intelligence

Approximating support vector machine with artificial neural network for fast prediction

Seokho Kang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2014)

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Article Engineering, Mechanical

A study on thermo mechanical fatigue life prediction of Ni-base superalloy

Dongkeun Lee et al.

INTERNATIONAL JOURNAL OF FATIGUE (2014)

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Article Engineering, Mechanical

Life modeling of anisotropic fatigue behavior for a single crystal nickel-base superalloy

Chengli Dong et al.

INTERNATIONAL JOURNAL OF FATIGUE (2014)

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Article Nanoscience & Nanotechnology

High temperature thermo-mechanical and low cycle fatigue behaviors of DD32 single crystal superalloy

Jinjiang Yu et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2014)

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Article Engineering, Mechanical

Creep-fatigue crack growth behaviour of a nickel-based powder metallurgy superalloy under high temperature

Hongqin Yang et al.

ENGINEERING FAILURE ANALYSIS (2011)

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Article Nanoscience & Nanotechnology

Thermo-mechanical fatigue behavior of a single crystal nickel-based superalloy

G. M. Han et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2011)

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Article Nanoscience & Nanotechnology

Deformation and damage mechanisms in IN792 during thermomechanical fatigue

Jan Kanesund et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2011)

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Article Computer Science, Artificial Intelligence

Variable selection using random forests

Robin Genuer et al.

PATTERN RECOGNITION LETTERS (2010)

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Article Engineering, Mechanical

An engineering model for low cycle fatigue life based on a partition of energy and micro-crack growth

V. Maurel et al.

INTERNATIONAL JOURNAL OF FATIGUE (2009)

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Article Engineering, Mechanical

Thermo-mechanical fatigue of a polycrystalline superalloy: The effect of phase angle on TMF life and failure

S. Pahlavanyali et al.

INTERNATIONAL JOURNAL OF FATIGUE (2008)

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Article Biotechnology & Applied Microbiology

What is a support vector machine?

William S. Noble

NATURE BIOTECHNOLOGY (2006)

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Article Nanoscience & Nanotechnology

Thermomechanical fatigue behavior and life prediction of a cast nickel-based superalloy

Z. W. Huang et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2006)

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Article Nanoscience & Nanotechnology

The cyclic fatigue behavior of direct age 718 at 149, 315, 454 and 538°C

J. Warren et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2006)

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Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

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Optimal control by least squares support vector machines

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NEURAL NETWORKS (2001)

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Thermomechanical fatigue behavior and lifetime modeling of powder metallurgy superalloy considering phase angle effect

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