Mathematical Model of the Sintering Process of Iron-Copper Bearings


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The most important features of the self-lubricating bearings are the antifriction properties such as friction coefficient and wear resistence and some mechanical properties such as hardness, tensile strength and radial crushing strength. In order to improve these properties new antifriction materials based on iron-copper powders with several additional components (tin, lead and molybdenum disulphide) have been developed by PM techniques. To find the optimal relationship between chemical compositions, antifriction and mechanical properties, in this paper a mathematical model of the sintering process is developed, which highlighted the accordance of the model with data by regression analysis. For the statistical processing of the experimental data the VH5 hardness values of the studied materials were considered. The development of mathematical model includes the enunciation of the model, the establishment of the performance function (optimization) and the establishment of the model equations and verifying. The accordance of the model with experimental data has been highlighted by regression analysis



Edited by:

Ionel Chicinaş and Traian Canta




C. Teișanu et al., "Mathematical Model of the Sintering Process of Iron-Copper Bearings", Advanced Materials Research, Vol. 23, pp. 119-122, 2007

Online since:

October 2007




[1] A. Salak: Ferrous Powder Metallurgy (Cambridge Int. Sci. Publ., UK 1995).

[2] C. Teisanu, S. Sontea: Int. Conf. DF PM99, (1999), p.226.

[3] C. Teisanu, S. Sontea: Proc. of the Int. PM and Materials Congress, (2000), p.1755.

[4] C. Teisanu, S. Sontea: Nat. PM Conferences, (1999), p.333.

[5] C. Teisanu, S. Sontea: Powder Metallurgy, Science and Tech., (2000), p.401.

[6] D. Taloi, E. Florian, C. Bratu, E. Berceanu: Optimizarea proceselor metalurgice (Ed. Didactica si Pedagogica, Bucureşti, 1983).

[7] P.E. Gill, W. Murray, M.H. Wright: Practical Opt. (Academic Press, New York, 1981).

[8] D.M. Himmelblau in: Proc. Analysis by Statistical Methods, edited by John Wiley and Sons, New York (1970).

[9] G. Di Pillo, L. Grippo, F. Lampariello: Proc. IFAC Symp. (1983), p.248.

[10] G. Di Pillo, L. Grippo, F. Lampariello: Optimal Control Applics. & Methods, (1984), p.693.

[11] D.M. Himmelblau: Applied Nonlinear Programming (McGraw-Hill, New York 1972).

[12] I. Maruşciac: Metode de rezolvare a problemelor de programare neliniară (Ed. Dacia, ClujNapoca 1973) ( ) 1n yy s n1u 2 u 2 0 − − = ∑= y 2 0 2 conc c s s F =.

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