Using a neural network for qualitative and quantitative predictions of weld integrity in solid bonding dominated processes

Patrinostro, G

Risultato della ricerca: Article

10 Citazioni (Scopus)
Lingua originaleEnglish
pagine (da-a)1-9
Numero di pagine9
RivistaCOMPUTERS & STRUCTURES
Volume135
Stato di pubblicazionePublished - 2014

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Materials Science(all)
  • Modelling and Simulation
  • Mechanical Engineering
  • Civil and Structural Engineering

Cita questo

@article{112e3ca227f94508898f20a0b0e3c837,
title = "Using a neural network for qualitative and quantitative predictions of weld integrity in solid bonding dominated processes",
keywords = "Friction Stir Welding; Bonding criterion; Neural network; Aluminum alloys",
author = "{Patrinostro, G} and Livan Fratini and Gianluca Buffa",
year = "2014",
language = "English",
volume = "135",
pages = "1--9",
journal = "Computers and Structures",
issn = "0045-7949",
publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Using a neural network for qualitative and quantitative predictions of weld integrity in solid bonding dominated processes

AU - Patrinostro, G

AU - Fratini, Livan

AU - Buffa, Gianluca

PY - 2014

Y1 - 2014

KW - Friction Stir Welding; Bonding criterion; Neural network; Aluminum alloys

UR - http://hdl.handle.net/10447/96137

M3 - Article

VL - 135

SP - 1

EP - 9

JO - Computers and Structures

JF - Computers and Structures

SN - 0045-7949

ER -