STATISTICAL DESCRIPTION OF LARGEST PORE SIZE IN MODIFIED AL-SI ALLOYS
Casting defects in AlSi7Mg alloys are owing to the processing technology inseparable features of final products. The porosity consisting of gas pores or microshrinkages is the most decisive factor influencing the fatigue life of castings. Extreme value statistic method has been shown a suitable proc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Univerzity of Zilina. Faculty of Mechanical Engineering
2009-06-01
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| Series: | Materiálové Inžinierstvo |
| Subjects: | |
| Online Access: | http://fstroj.uniza.sk/journal-mi/PDF/2009/05-03.pdf |
| Summary: | Casting defects in AlSi7Mg alloys are owing to the processing technology inseparable features of final products. The porosity consisting of gas pores or microshrinkages is the most decisive factor influencing the fatigue life of castings. Extreme value statistic method has been shown a suitable procedure for prediction of a size of the largest defects, which can occur in real castings, which are substantially larger than the area of a control specimen prepared for defect distribution analysis. In this contribution application of Murakami’s statistical method based on the description of the largest extreme value distribution to the evaluation of porosity in AlSi7Mg alloy prepared by casting technologies with two types of modifiers, namely Sr and Na is presented. The results of statistical analysis are compared with the fatigue performance of specimens manufactured from particular materials. |
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| ISSN: | 1335-0803 1338-6174 |