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Warianty tytułu
Języki publikacji
Abstrakty
In the paper the method of data modeling for damages, that has values higher than zero, is being shown. With the use of Weibull distribution, with prior regression and correlation analysis, the chosen parameters, that define durability and break down level of two populations of AlSi17Cu5Mg, were set. The calculation sheet that is shown for reliability allows the creation of so called survival chart, and on the basis of durability data the average warrantee time can be defined at the pre-exploitation stage.
Czasopismo
Rocznik
Strony
69--72
Opis fizyczny
Bibliogr. 9 poz., rys., tab.
Twórcy
autor
- Silesian University of Technology, Krasińskiego 8, 40-019 Katowice, Poland
autor
- Fortum Power and Heat Poland, A. Słonimskiego 1A, 50-304 Wroclaw, Poland
Bibliografia
- [1] American Foundrymen’s Society, Des Plaines ASTM, 1993.
- [2] Pietrowski, S. (1999). Crystallization, structure and properties of the silumin. University of Technology, Łódź.
- [3] Bernhardt, M. Loth, E. (1998). Car engines. WKŁ, Warsaw.
- [4] Szopa, T. (2009). Reliability and Safety. University Rzeszów.
- [5] Piątkowski, J. (2011). Estimation of Materials Reliability on Al-Si with Cu, Ni and Mg Alloy Used in the Automotive Industry, Research and Teaching Technologies 3, 7-16.
- [6] Hahn, G.J., Doganaksoy, N. & Meeker, W.Q. (1999). Reliability improvement, issues and tools. Quality Progress 5.
- [7] Piątkowski, J. (2012). Influence of overheating degree on material reliability of A390.0 alloy. Solid State Phen. 191.
- [8] O’Connor, P. (1998). Standards in reliability and safety engineering. Reliability Engineering and System Safety 60.
- [9] Piątkowski, J. & Jabłońska, M. (2014). Analysis of Material Reliability of AlSi17Cu5 Alloy Using Statistical Weibull Distribution. Metalurgija 53, No 4, 617-620.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-549a31c1-7550-4446-a840-69dc1e7d8f72