Neural network modeling for prediction of weld bead geometry in laser microwelding
Laser microwelding has been an essential tool with a reputation of rapidity and precision for joining miniaturized metal parts. In industrial applications, an accurate prediction of weld bead geometry is required in automation systems to enhance productivity of laser microwelding. The present work w...
| Main Authors: | Ismail, Mohd Idris Shah, Okamoto, Yasuhiro, Okada, Akira |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2013
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/28732/ http://psasir.upm.edu.my/id/eprint/28732/1/Neural%20network%20modeling%20for%20prediction%20of%20weld%20bead%20geometry%20in%20laser%20microwelding.pdf |
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