A study on using scanning acoustic microscopy and neural network techniques to evaluate the quality of resistance spot welding

International Journal of Advanced Manufacturing Technology

Volumn 22, Issue 9-10, 2003, Pages 727-732

  Lee, Hsu Tung ^a   Wang, Michael ^b   Maev, Roman ^b   Maeva, Elena ^b  

^a MING CHUAN UNIVERSITY   (Taiwan)

^b UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Acoustic microscopy methods; On line real time quality inspection; Spot welding

Indexed keywords

ACOUSTIC MEASURING INSTRUMENTS; COMPUTER SIMULATION; IMAGE SEGMENTATION; JAVA PROGRAMMING LANGUAGE; MATHEMATICAL MODELS; MORPHOLOGY; NEURAL NETWORKS; ONLINE SYSTEMS; QUALITY CONTROL; REAL TIME SYSTEMS; SCANNING; STATISTICAL TESTS;

SCANNING ACOUSTIC MICROSCOPY (SAM); WELDING QUALITY;

SPOT WELDING;

EID: 0347504540     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00170-003-1599-9     Document Type: Article

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