Defect classification of laser metal deposition using logistic regression and artificial neural networks for pattern recognition-Reference-Cited by-同舟云学术

Defect classification of laser metal deposition using logistic regression and artificial neural networks for pattern recognition

Published:2017-08-10 Issue:1-4 Volume:94 Page:315-326
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Gaja Haythem,Liou Frank

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s00170-017-0878-9/fulltext.html

Reference32 articles.

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3. Weerasinghe V, Steen W (1987) Laser cladding with blown powder. Met Constr 19:581–585

4. Sears JW (1999) Direct laser powder deposition - ‘State of the Art’. No. KAPL-P-000311; K99089 Knolls Atomic Power Lab, Nis, NY

5. McLean M (1997) Laser direct casting high nickel alloy components. Adv Powder Metall Part Mater 3:21

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