Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing-Reference-Cited by-同舟云学术

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Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing

Published:2016-11-26 Issue:2 Volume:30 Page:809-820
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Panda Biranchi,Shankhwar K.,Garg Akhil,Savalani M. M.

Funder

Shantou University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/article/10.1007/s10845-016-1282-2/fulltext.html

Reference33 articles.

1. Baufeld, B., Brandl, E., & van der Biest, O. (2011). Wire based additive layer manufacturing: Comparison of microstructure and mechanical properties of Ti6Al4V components fabricated by laser-beam deposition and shaped metal deposition. The Journal of Materials Processing Technology, 211(6), 1146–1158.

2. Brandl, E., Achim, S., & Christoph, L. (2012). Morphology, microstructure, and hardness of titanium (Ti-6Al-4V) blocks deposited by wire-feed additive layer manufacturing (ALM). Materials Science and Engineering: A, 532, 295–307.

3. Çiçek, A., Kıvak, T., & Ekici, E. (2015). Optimization of drilling parameters using Taguchi technique and response surface methodology (RSM) in drilling of AISI 304 steel with cryogenically treated HSS drills. Journal of Intelligent Manufacturing, 26(2), 295–305.

4. Ding, D., et al. (2016). Automatic multi-direction slicing algorithms for wire based additive manufacturing. Robotics and Computer-Integrated Manufacturing, 37, 139–150.

5. Ding, D., Pan, Z., Cuiuri, D., & Li, H. (2015). A multi-bead overlapping model for robotic wire and arc additive manufacturing (WAAM). Robotics and Computer-Integrated Manufacturing, 31, 101–110.

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