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Prediction of weld defects using welding condition data
Kalervo Leino
, Ari Nikkola
, Karri Vartiainen
VTT Technical Research Centre of Finland
Research output
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Book/Report
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Report
1
Citation (Scopus)
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Dive into the research topics of 'Prediction of weld defects using welding condition data'. Together they form a unique fingerprint.
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Keyphrases
Weld Defects
100%
Condition Data
100%
Welding Condition
100%
Deflection
66%
Monitoring Parameters
66%
Wire Feed Rate
66%
Travel Speed
66%
Welding Voltage
66%
Sound Emission
33%
Mechanical Factors
33%
Arc Welding
33%
Weld Quality
33%
GMA Welding
33%
Welding Energy
33%
Arc Duration
33%
Arc Sound
33%
Oil-grease
33%
Short Arc
33%
Shielding Gas Flow
33%
Welding Process Parameters
33%
Welding Current
33%
Spray Arc
33%
Welding Groove
33%
Welding Control
33%
Shop Primer
33%
Electric Parameters
33%
Artificial Disturbance
33%
Voltage-current
33%
INIS
data
100%
prediction
100%
welds
100%
defects
100%
welding
100%
speed
66%
disturbances
66%
wires
33%
voltage
33%
travel
33%
energy
16%
water
16%
greases
16%
oils
16%
emission
16%
process control
16%
sprays
16%
gas flow
16%
shielding
16%
arc welding
16%
Engineering
Weld Defect
100%
Welds
66%
Travel Speed
66%
Feed Speed
66%
Non-Destructive Testing
33%
Process Parameter
33%
Mechanical Factor
33%
Weld Quality
33%
Electric Arc Welding
33%
Spray Arc
33%
Shielding Gas Flow
33%
Process Control
33%
Grease
33%
Material Science
Arc Welding
100%
Rust
100%
Process Control
100%
Gas Flow
100%