Fuzzy Expert System Design for Determining Wearing Properties of Nitrided and Non Nitrided Steel

This paper proposes a Fuzzy Expert System design to determine the wearing properties of nitrided and non nitrided steel. The proposed Fuzzy Expert System approach helps the user and the manufacturer to forecast the wearing properties of nitrided and non nitrided steel under specified laboratory conditions. Surfaces of the engineering components are often nitrided for improving wear, corosion, fatigue specifications. A major property of nitriding process is reducing distortion and wearing of the metalic alloys. A Fuzzy Expert System was developed for determining the wearing and durability properties of nitrided and non nitrided steels that were tested under different loads and different sliding speeds in the laboratory conditions.

Authors:

• Serafettin Ekinci
• Kursat Zuhtuogullari

Keywords:

• Fuzzy Expert System Design
• Rule Based Systems
• Fatigue
• Corrosion

References:

[1] B. Podgornink., J. Vizintin, O.Wanstrand, M. Larsson, S. Hogmark Wear
and friction behaviour of duplex-treated AISI 5140 steel, Surface
Coatings Technology, (120-121), 502-508, 1999
[2] Y.Z. Shen, K.H. Oh, D.N. Lee, Nitriding of steel in potassium nitrate salt
bath,Scripta Materialia 53, 2005, 1345-1349
[3] B. Edenhoffer Engineering Bookshelf, Source Book on
Nitriding,American Society for Metals, Metals Park OH, 1977, p.181.
[4] B. Podgornik, J.Vizintin, Wear resistance of pulse plasma nitrided AISI
5140 and A355 steels, 2001,.Materials Science and Engineering A315
p28-34
[5] N.E. Dowling, Mechanical Behaviour of Materials, Prentice- Hall,New
Jersey, 1993, p. 339.
[6] J. Zhu, Fuzzy control principle and application" Beijing, Publishing
House of Mechanic Industry.1995
[7] S. Liu and etc. Fuzzy control technology, Publishing House of China
Textile 2001
[8] H.B. Kazeiman, "Developments of fuzzy PID controllers". Expert
Systems, Vol 22 No 5, 2005
[9] G.Kaur, A.Chauhan, P.V. Subramanyam, Fuzzy Logic Temperature
Controller, International Conference On Granular Computing Vol 2 No
492-495, 2005.
[10] H. B. Kazemian "Developments of Fuzzy PID Controllers", Expert
Systems, Vol 2 No 5, 2005.
[11] N.Baykal, T.Beyan, " Fuzzy Logic, Expert Systems and
Controllers"B─▒caklar Press, 2004.
[12] J. Wilkinson "Additional Advances in Fuzzy Logic Temperature
Control" Industrial Applications Conference Thirtieth Annual
Meeting,IAS, 1995.
[13] T. J. Ross, "Fuzzy logic with engineering applications", New York :
MCGraw Hill, 1995.
[14] M,Reghis, E.Roventa "Classical and fuzzy concepts in mathematical
logic and applications" 1998, Boca Raton : CRC Press