Selection and sequencing of machining processes for prismatic parts using process ontology model-Reference-Cited by-同舟云学术

Selection and sequencing of machining processes for prismatic parts using process ontology model

Published:2016-03 Issue:3 Volume:17 Page:387-394
ISSN:2234-7593
Container-title:International Journal of Precision Engineering and Manufacturing
language:en
Short-container-title:Int. J. Precis. Eng. Manuf.

Author:

Kang Mujin,Kim Gyungha,Lee Taemoon,Jung Chang Ho,Eum Kwangho,Park Myon Woong,Kim Jae Kwan

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12541-016-0048-2.pdf

Reference18 articles.

1. Poole, D. L. and Mackworth, A. K., “Artificial Intelligence: Foundations of Computational Agents,” Cambridge University Press, pp. 491–548, 2010.

2. García, L. E. R., Garcia, A., and Bateman, J., “An Ontology-based Feature Recognition and Design Rule Checker for Engineering,” Proc. of 10th International Semantic Web Conference, pp. 48–58, 2011.

3. Lemaignan, S., Siadat, A., Dantan, J.-Y., and Semenenko, A., “Mason: A Proposal for an Ontology of Manufacturing Domain,” Proc. of IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications, pp. 195–200, 2006.

4. Tao, F., Hu, Y., Ding, Y., Sheng, B., Song, C., and Zhou, Z., “Modelling of Manufacturing Resource in Manufacturing Grid based on XML,” Proc. of IEEE International Conference on Industrial Informatics, pp. 1261–1266, 2006.

5. Feng, S. C. and Song, E. Y., “A Manufacturing Process Information Model for Design and Process Planning Integration,” Journal of Manufacturing Systems, Vol. 22, No. 1, pp. 1–15, 2003.

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