Defect detection in selective laser melting technology by acoustic signals with deep belief networks-Reference-Cited by-同舟云学术

Defect detection in selective laser melting technology by acoustic signals with deep belief networks

Published:2018-02-24 Issue:5-8 Volume:96 Page:2791-2801
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Ye Dongsen,Hong Geok Soon,Zhang Yingjie,Zhu Kunpeng,Fuh Jerry Ying Hsi

Funder

Intelligent Multisensor-based Built Quality Monitoring System for SLM

China Scholarship Council

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/s00170-018-1728-0/fulltext.html

Reference31 articles.

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3. Agarwala M, Bourell D, Beaman J, Marcus H, Barlow J (1995) Direct selective laser sintering of metals. Rapid Prototyping J 1(1):26–36

4. Thijs L, Verhaeghe F, Craeghs T, Van Humbeeck J, Kruth JP (2010) A study of the microstructural evolution during selective laser melting of Ti–6Al–4V. Acta Mater 58(9):3303–3312

5. Ramakrishnan P (2002) Residual stresses in powder-metal processing. In: Handbook of residual stresses and deformation of steel. Ohio: ASM International, Materials Park, pp 397–423

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