Influence of Technological Options on the Material Reliability of AlSi17Cu5 Cast Alloy

Article Preview

Abstract:

In the dissertation the influence of overheating of around 250oC above Tliq on the material reliability of AlSi17Cu5 cast alloy has been shown. On the basis of static tensile test, the following had been determined: HB hardness, tensile strength and yield strength for four, chosen technological variants. The results were the base to verify the thesis of compliance between tested feature arrangement and normal arrangement, and on this ground also material reliability determined with Weibull’s statistic arrangement had been defined. This parameter grasp the interdependence between lasting probability and chosen material property of the alloy.

You might also be interested in these eBooks

Info:

Periodical:

Solid State Phenomena (Volume 229)

Pages:

17-24

Citation:

Online since:

April 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] T. Szopa, Reliability and safety. WNT Warsaw, (2009).

Google Scholar

[2] W Pamuła, Reliability and safety. Pub. Silesian University of Technology, Gliwice, (2011).

Google Scholar

[3] N. Doganaksoy, G.J. Hahn, W.Q. Meeker, Product life data analysis: A case study. Quality Progress 6 (2000) 115-122.

Google Scholar

[4] P. O'Connor, Standards in reliability and safety engineering. Reliability Engineering and System Safety 60 (1998) 173-177.

DOI: 10.1016/s0951-8320(98)83010-x

Google Scholar

[5] G.J. Hahn, N. Doganaksoy, W.Q. Meeker, Reliability improvement, issues and tools. Quality Progress 5 (1999) 133-139.

Google Scholar

[6] W. Weibull, A statistical theory of the strength of materials. Generalstabens Litografiska Anstalts Förlag 151 (1939) 45-59.

Google Scholar

[7] W. Weibull, The phenomenon of rupture in solids. Ingeniörs Vetenskaps Akademien-Handlingar 153, (1939).

Google Scholar

[8] W. Weibull, A statistical distribution function of wide applicability. J. of Applied Mechanics 18 (1951) 293-298.

Google Scholar

[9] A. Hoyland, M. Rausand, System reliability theory, models, statistical methods and applications. John Wiley and Sons, New York, (1994).

Google Scholar

[10] P.B. Heinz, F.K. Geitner, Practical machinery management for process plants. Machinery failure analysis and troubleshooting. 2nd Edition, Gulf Publishing Co. Houston, TX (1994).

DOI: 10.1177/058310248401601107

Google Scholar

[11] W. Meeker, L. Escobar, Statistical methods for reliability data. John Wiley and Sons, New York, (1998).

Google Scholar

[12] J. Piątkowski, Estimation of the materials reliability on Al-17wt. %Si with Cu, Ni, Mg alloy used in the automotive industry. Apparatus for testing 3 (2011) 7-16.

Google Scholar

[13] J. Piątkowski, Influence of overheating degree on material reliability of A390. 0 alloy. Solid State Phenomena 191 (2012) 23-28.

DOI: 10.4028/www.scientific.net/ssp.191.23

Google Scholar

[14] Polish Norm PN-83N-04041/10 Reliability in the art. Ensuring the reliability of technical objects. The system of collecting and processing data.

Google Scholar

[15] Polish Standard PN-77N-04010 Reliability in the art. The choice of indicators of reliability.

Google Scholar

[16] Polish Norm PN-86N-04041/01 Reliability in the art. Ensuring the reliability of technical objects. Guidelines for formulating the requirements of reliability.

Google Scholar

[17] M. Maliński, Testing of statistical hypotheses computer-assisted. Pub. Silesian University of Technology, Gliwice, (2004).

Google Scholar

[18] M. F Ashby, D.R.H. Jones, Engineering Materials parts. 2 Formation of the structure and properties, the choice of materials. WNT, Warsaw (1996).

Google Scholar

[19] J. Piątkowski, T. Matuła, Estimation of the operational reliability determined with Weibull modulus based on the abrasive wear in a cylinder-piston ring system. J. of Achievements in Materials and Manufacturing Engineering 55, issue 2 (2012).

Google Scholar