Welding parameters prediction for arbitrary layer height in robotic wire and arc additive manufacturing
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Title
Welding parameters prediction for arbitrary layer height in robotic wire and arc additive manufacturing
Authors
Keywords
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Journal
Journal of Mechanical Science and Technology
Volume 34, Issue 4, Pages 1683-1695
Publisher
Springer Science and Business Media LLC
Online
2020-04-11
DOI
10.1007/s12206-020-0331-0
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- (2013) Jun Xiong et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Bead geometry prediction for robotic GMAW-based rapid manufacturing through a neural network and a second-order regression analysis
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- Artificial neural network approach for estimating weld bead width and depth of penetration from infrared thermal image of weld pool
- (2008) P. Ghanty et al. SCIENCE AND TECHNOLOGY OF WELDING AND JOINING
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