Optimization of Tube Hydroforming Process by Using Fuzzy Expert System

K.S. Park; B.J. Kim; Young Hoon Moon

doi:10.4028/www.scientific.net/MSF.475-479.3283

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HomeMaterials Science ForumMaterials Science Forum Vols. 475-479Optimization of Tube Hydroforming Process by Using...

Optimization of Tube Hydroforming Process by Using Fuzzy Expert System

Abstract:

In the tube hydroforming process, a tube is placed into the die cavity and the ends of the tube are sealed by fixing the axial cylinder piston into the ends. Then the tube is pressurized with a hydraulic fluid and simultaneously the axial cylinders move to feed the material into the expansion zone. In this study, the empirical and the quantitative relationship between process parameters and hydroformabillity are analyzed by fuzzy rules. Fuzzy expert system is an advanced expert system which uses fuzzy rule and approximate reasoning. Many process parameters are converted to the quantitative relationship by use of approximate reasoning of fuzzy expert system.

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Periodical:

Materials Science Forum (Volumes 475-479)

Pages:

3283-3286

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.475-479.3283

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Online since:

January 2005

Authors:

K.S. Park, B.J. Kim, Young Hoon Moon

Keywords:

Fuzzy Expert System, Fuzzy Rule, Hydro-Formability, Hydroforming

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References

[1] M. Koc and T. Altan : Prediction of forming limits and parameters in the tube hydroforming process, International Journal of Machine Tools and Manufacture, Vol. 42(2002)pp.123-138.

DOI: 10.1016/s0890-6955(01)00048-7

Google Scholar

[2] T. Ohashi, and M. Moromura : Expert system of cold forging defects using risk analysis tree network with fuzzy language, Journal of Materials Processing Technology, Vol. 107(2000)pp.260-266.

DOI: 10.1016/s0924-0136(00)00706-8

Google Scholar

[3] Debin Shan, Young Suk Kim, Yan Lu, Sung Tae Kim and Cheng Lu Wang : Characteristics of Tee Tube Forming Deformation Zone using Plastic Pressure - Building Medium, Met. Mater. Int., Vol 6(2000)p.519 ~ 524.

DOI: 10.1007/bf03028093

Google Scholar