Data Processing of 2060-T8 Alloy Fatigue Test Results Using Statistical Methods to Improve Reliability and Accuracy

Area of Science:

• Materials Science
• Mechanical Engineering
• Metallurgy

Background:

• Fatigue life testing is critical for material performance evaluation.
• Existing analysis methods for fatigue data lack reliability due to scatter.
• Shot peening is a surface treatment used to improve material fatigue properties.

Purpose of the Study:

• To evaluate the effect of shot peening on the fatigue life of 2060-T8 aluminum-lithium alloy.
• To develop and apply a robust statistical framework for analyzing fatigue test data.
• To enhance the reliability of fatigue performance assessment for engineering materials.

Main Methods:

• Fatigue testing of 2060-T8 aluminum-lithium alloy specimens.
• Application of low- and high-intensity cast steel shot peening.
• Statistical analysis including normality testing, outlier identification, and hypothesis testing.
• Calculation of fatigue reliability based on significant differences in fatigue lives.

Main Results:

• Shot peening significantly influenced the fatigue life and data dispersion of the alloy specimens.
• The multi-tiered statistical framework effectively analyzed the fatigue data.
• The developed analytical approach demonstrated improved reliability over traditional methods.

Conclusions:

• Shot peening can enhance the fatigue performance of 2060-T8 aluminum-lithium alloy.
• Systematic statistical analysis is crucial for reliable fatigue life evaluation.
• This methodology supports informed material selection for engineering structures.