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Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling

PaperCitations, authors & open-access status

Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 101 citations, 2011 year and closed oa status.

101
Citations
2011
Year
closed
OA Status

Related on ScholarIQ

N. Chandrasekhar
Author
Journal of Intelligent Manufacturing
Journal
Thermography and Photoacoustic Techniques
Topic
Welding Techniques and Residual Stresses
Topic
Thermography and Photoacoustic Techniques
Topic
Infrared Target Detection Methodologies
Topic
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