Low cycle fatigue and creep–fatigue interaction behavior of 316L(N) stainless steel and life prediction by artificial neural network approach

Stainless Steel ◽

Life Prediction ◽

Low Cycle Fatigue ◽

Cycle Fatigue ◽

Network Approach ◽

Neural Network Approach ◽

Creep Fatigue ◽

Low Cycle Fatigue Life Prediction of Al–Si–Mg Alloy Using Artificial Neural Network Approach

Transactions of the Indian Institute of Metals ◽

10.1007/s12666-015-0785-4 ◽

2016 ◽

Vol 69 (2) ◽

pp. 597-602 ◽

Cited By ~ 5

Author(s):

Srimant Kumar Mishra ◽

Anitarani Brahma ◽

Krishna Dutta

Keyword(s):

Neural Network ◽

Fatigue Life ◽

Life Prediction ◽

Low Cycle Fatigue ◽

Fatigue Life Prediction ◽

Cycle Fatigue ◽

Network Approach ◽

Neural Network Approach ◽

Creep–fatigue lifetime estimation of SnAgCu solder joints using an artificial neural network approach

Mechanics of Advanced Materials and Structures ◽

10.1080/15376494.2021.1951405 ◽

2021 ◽

pp. 1-7

Author(s):

Tzu-Chia Chen ◽

Wang-Wang Zhu ◽

Zi-Kun Jiao ◽

Aleksandr Mikhailovich Petrov

Keyword(s):

Neural Network ◽

Solder Joints ◽

Network Approach ◽

Lifetime Estimation ◽

Neural Network Approach ◽

Fatigue Lifetime ◽

Snagcu Solder ◽

Creep Fatigue ◽

An artificial neural network approach for remaining useful life prediction of equipments subject to condition monitoring

2009 8th International Conference on Reliability, Maintainability and Safety ◽

10.1109/icrms.2009.5270220 ◽

2009 ◽

Cited By ~ 10

Author(s):

Zhigang Tian

Keyword(s):

Neural Network ◽

Condition Monitoring ◽

Life Prediction ◽

Remaining Useful Life ◽

Network Approach ◽

Neural Network Approach ◽

Useful Life ◽

Artificial Neural ◽

Carbide tool life prediction and modeling in SiCp/Al turning process via artificial neural network approach

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/600/1/012022 ◽

2019 ◽

Vol 600 ◽

pp. 012022 ◽

Cited By ~ 2

Author(s):

Rashid Ali Laghari ◽

Jianguang Li ◽

Asif Ali Laghari ◽

Mozammel Mia ◽

Shu-qi Wang ◽

...

Keyword(s):

Neural Network ◽

Tool Life ◽

Life Prediction ◽

Carbide Tool ◽

Network Approach ◽

Turning Process ◽

Neural Network Approach ◽

Artificial Neural ◽

Elastic constants of austenitic stainless steel: Investigation by the first-principles calculations and the artificial neural network approach

Computational Materials Science ◽

10.1016/j.commatsci.2012.09.005 ◽

2013 ◽

Vol 67 ◽

pp. 353-358 ◽

Cited By ~ 23

Author(s):

Kamel Benyelloul ◽

Hafid Aourag

Keyword(s):

Neural Network ◽

Stainless Steel ◽

Austenitic Stainless Steel ◽

Elastic Constants ◽

First Principles ◽

First Principles Calculations ◽

Network Approach ◽

Neural Network Approach ◽

A review on the artificial neural network approach to analysis and prediction of seismic damage in infrastructure

International Journal of Hydromechatronics ◽

10.1504/ijhm.2019.104386 ◽

2019 ◽

Vol 2 (4) ◽

pp. 178 ◽

Cited By ~ 15

Author(s):

Manouchehr Shokri ◽

Kian Tavakoli

Keyword(s):

Neural Network ◽

Seismic Damage ◽

Network Approach ◽

Neural Network Approach ◽

Artificial Neural ◽

Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling–artificial neural network approach

Scientometrics ◽

10.1007/s11192-021-04051-5 ◽

2021 ◽

Author(s):

Yaxue Ma ◽

Zhichao Ba ◽

Yuxiang Zhao ◽

Jin Mao ◽

Gang Li

Keyword(s):

Neural Network ◽

Social Media ◽

Simultaneous Equation ◽

Equation Modeling ◽

Network Approach ◽

Neural Network Approach ◽

Scientific Papers ◽

Artificial Neural ◽

Accurate determination of natural gas compressibility factor by measuring temperature, pressure and Joule-Thomson coefficient: Artificial neural network approach

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2021.108427 ◽

2021 ◽

pp. 108427

Author(s):

Mahmood Farzaneh-Gord ◽

Hamid Reza Rahbari ◽

Behnam Mohseni-Gharesafa ◽

Alexander Toikka ◽

Irina Zvereva

Keyword(s):

Neural Network ◽

Accurate Determination ◽

Compressibility Factor ◽

Network Approach ◽

Neural Network Approach ◽

Thomson Coefficient ◽

Gas Compressibility ◽

Efficacy evaluation of oxide-MWCNT water hybrid nanofluids: An experimental and artificial neural network approach

Colloids and Surfaces A Physicochemical and Engineering Aspects ◽

10.1016/j.colsurfa.2021.126562 ◽

2021 ◽

Vol 620 ◽

pp. 126562

Author(s):

Vikas Kumar ◽

Ashutosh Pare ◽

Arun Kumar Tiwari ◽

Subrata Kumar Ghosh

Keyword(s):

Neural Network ◽

Network Approach ◽

Efficacy Evaluation ◽

Neural Network Approach ◽

Hybrid Nanofluids ◽

Artificial Neural ◽

Artificial bee colony Based Bayesian Regularization Artificial Neural Network approach to model transient flammable cloud dispersion in congested area

Process Safety and Environmental Protection ◽

10.1016/j.psep.2019.05.046 ◽

2019 ◽

Vol 128 ◽

pp. 121-127 ◽

Cited By ~ 5

Author(s):

Jihao Shi ◽

Xinhong Li ◽

Faisal Khan ◽

Yuanjiang Chang ◽

Yuan Zhu ◽

...

Keyword(s):

Neural Network ◽

Artificial Bee Colony ◽

Bayesian Regularization ◽

Network Approach ◽

Neural Network Approach ◽

Bee Colony ◽

Congested Area ◽

Artificial Neural ◽