Abstract

Tensile and fatigue testing results of D357 and B201 aluminum alloy aerospace castings reported in the literature have been reanalyzed. Yield strength–elongation bivariate data have been used as a measure of the structural quality of castings, and converted into quality index. These results as well as fatigue data have been analyzed by using Weibull statistics. A distinct relationship has been observed between expected fatigue life and quality index. Moreover, probability of survival in fatigue life was found to be directly linked to the proportions of the quality index distributions in two different regions, providing further evidence about the strong relationship between elongation, i.e., structural quality and fatigue performance.

Highlights

  • There are a number of tests used by engineers to determine the mechanical properties of structural parts used in aerospace and automotive applications

  • Experiments by Ozelton et al Four datasets reported by Ozelton et al [18] who investigated the durability and damage tolerance for D357-T6 and B201-T7 cast aluminum alloys were reanalyzed in this study

  • Total, fatigue life and tensile test results obtained by Ozelton et al

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Summary

Introduction

There are a number of tests used by engineers to determine the mechanical properties of structural parts used in aerospace and automotive applications Among those tests, the most widely used one is the tensile test which is required in many industrial standards and specifications, such as MIL-A-21180D [1]. The degradation in mechanical properties including tensile strength [4,5], elongation (eF ) [6,7,8,9], fracture toughness as well as fatigue life (Nf ) [10] is directly related to the structural quality of castings. (0 ď QT < 0.25), the premature failure is primarily due to “old” oxides which was the surface of re-melted castings, foundry returns and/or ingot In this region, tensile specimens do not neck and fatigue failure starts from defects on or close to the specimen surface. A similar approach is followed in this study and data from aerospace literature are reanalyzed for a potential relationship between the quality index and fatigue life in aerospace castings

Materials and Methods
Statistical Analysis
Results
Forlongest
Fitsare indicated byinthe probability plots for QT andfor
Discussion
Probability densityfunctions functions forestimated
Conclusions
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