Neural Network Analysis for Evaluating Welding Process

Kyung Cho Kim; Roman Gr. Maev

doi:10.4028/www.scientific.net/KEM.270-273.2357

Paper Titles

Measurement of Weld Bead Defect for Shock Absorber Using Laser Vision Sensor
p.2332

A Study of Nondestructive Weld Quality Inspection and Estimation during Resistance Spot Welding
p.2338

Non-Destructive Characteristics Evaluation for Low Vacuum Dry Pumps in the Semi-Conductor Manufacturing Process Line
p.2345

A Study on an Accurate Seam Detecting Sensor for Laser Welding Automation
p.2351

Neural Network Analysis for Evaluating Welding Process
p.2357

CO₂ Laser Welding of 800MPa Grade TRIP Steel
p.2365

A Study on the Mechanical Behaviors in Welded Parts by Numerical Simulation
p.2371

A Study on the Lamination Produced by Corner Joint Welding of Ultra Thick Plate by Newly Designed Z-Quality Evaluation Methods
p.2377

Basic Experiments by Hybrid Welding to Steels for Shipbuilding
p.2383

HomeKey Engineering MaterialsKey Engineering Materials Vols. 270-273Neural Network Analysis for Evaluating Welding...

Neural Network Analysis for Evaluating Welding Process

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Key Engineering Materials (Volumes 270-273)

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2357-2364

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https://doi.org/10.4028/www.scientific.net/KEM.270-273.2357

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Online since:

August 2004

Authors:

Kyung Cho Kim, Roman Gr. Maev

Keywords:

Maximum Time of Flight MTOF, Neural Network (NN), Nugget Size

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