Artificial neural network approach for mechanical properties prediction of TC4 titanium alloy treated by laser shock processing

Artificial Neural Network Approach for Mechanical Properties Prediction of As-Cast A380 Aluminum Alloy

SSRN Electronic Journal ◽

10.2139/ssrn.3978494 ◽

2021 ◽

Author(s):

Qiao Lan ◽

Xingchen Wang ◽

Jiangwei Sun ◽

Zhiyu Chang ◽

Qingchen Deng ◽

...

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Aluminum Alloy ◽

Network Approach ◽

Neural Network Approach ◽

Mechanical Properties Prediction ◽

Artificial Neural ◽

Materials Science Forum - Advances in Materials Manufacturing Science and Technology II ◽

Study of the Effect of Coatings on Mechanical Properties of TC4 Titanium Alloy during Laser Shock Processing

10.4028/0-87849-421-9.73 ◽

2006 ◽

pp. 73-76

Author(s):

Xu Dong Ren ◽

Yong Kang Zhang ◽

Jian Zhong Zhou ◽

Ai Xin Feng ◽

De Jun Kong

Keyword(s):

Mechanical Properties ◽

Titanium Alloy ◽

Laser Shock ◽

Laser Shock Processing ◽

Tc4 Titanium Alloy ◽

Shock Processing

Artificial neural network approach to predict the mechanical properties of Cu–Sn–Pb–Zn–Ni cast alloys

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2008.05.019 ◽

2009 ◽

Vol 30 (3) ◽

pp. 764-769 ◽

Cited By ~ 50

Author(s):

Mehmet Sirac Ozerdem ◽

Sedat Kolukisa

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Network Approach ◽

Neural Network Approach ◽

Cast Alloys ◽

Artificial Neural ◽

Mechanical Properties Prediction of Superalloy FGH4095 Treated by Laser Shock Processing Based on Machine Learning

Materials Letters ◽

10.1016/j.matlet.2021.129970 ◽

2021 ◽

pp. 129970

Author(s):

Jiajun Wu ◽

Ziheng Xu ◽

Hongchao Qiao ◽

Jibin Zhao ◽

Zheng Huang

Keyword(s):

Machine Learning ◽

Mechanical Properties ◽

Laser Shock ◽

Laser Shock Processing ◽

Mechanical Properties Prediction ◽

Shock Processing

Artificial Neural Network approach to predict mechanical properties of hot rolled, nonresulfurized, AISI 10xx series carbon steel bars

Journal of Materials Processing Technology ◽

10.1016/j.jmatprotec.2007.06.071 ◽

2008 ◽

Vol 199 (1-3) ◽

pp. 437-439 ◽

Cited By ~ 22

Author(s):

Mehmet Sirac Ozerdem ◽

Sedat Kolukisa

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Carbon Steel ◽

Network Approach ◽

Neural Network Approach ◽

Steel Bars ◽

Artificial Neural ◽

Hot Rolled ◽

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 ◽

The effect of laser shock processing on mechanical properties of an advanced powder material depending on different ablative coatings and confinement medias

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-07080-9 ◽

2021 ◽

Author(s):

Yuqi Yang ◽

Ying Lu ◽

Hongchao Qiao ◽

Jibin Zhao ◽

Boyu Sun ◽

...

Keyword(s):

Mechanical Properties ◽

Powder Material ◽

Laser Shock ◽

Laser Shock Processing ◽

Shock Processing

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 ◽