Artificial neural network modelling of cold-crack resistance of high strength low alloy steel 950A

Artificial neural network modelling of cold-crack resistance of high strength low alloy steel 950A

The objective of the study is to predict the cold cracking resistance of high strength low alloy 950A welded joints using an artificial neural network (ANN) model. A bead on plate welding is carried out using the gas metal arc welding process. The identified process parameters for the ANN are prehea...

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Bibliographic Details
Main Authors: Velumani Manivelmuralidaran, Krishnasamy Senthilkumar
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:The Journal of Engineering
Subjects:
plates (structures)
impact strength
cracks
welds
neural nets
sensitivity analysis
arc welding
welding
alloy steel
cold cracking resistance
high strength low
welded joints
artificial neural network model
ANN
plate welding
gas metal arc welding process
identified process parameters
preheating temperature
oxide particle content
heat input
weld metal
propagation model
experimental data
given input parameters
predicted observed values
oxide particles content
artificial neural network modelling
cold-crack resistance
current 950.0 A
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5277

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5277

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