Software to Predict the Process Parameters of Electron Beam Welding

Software to Predict the Process Parameters of Electron Beam Welding

This paper discusses the problem of choosing the effective process parameters of electron beam welding (EBW). To that end, the research team has developed a mathematical model that applies machine learning to predict the effective process parameters. Since predicting process parameters requires a re...

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Bibliographic Details
Main Authors: Vadim S. Tynchenko, Sergei O. Kurashkin, Valeria V. Tynchenko, Vladimir V. Bukhtoyarov, Vladislav V. Kukartsev, Roman B. Sergienko, Sergei V. Tynchenko, Kirill A. Bashmur
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Electron beam welding
choice of process parameters
software
decision support
prediction
ridge regression
Online Access:https://ieeexplore.ieee.org/document/9464340/

Internet

https://ieeexplore.ieee.org/document/9464340/

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