High cycle fatigue limit prediction of foreign object damaged aerofoil samples by the theory of critical distance

In order to study the influence of different factors on the foreign object damage (FOD) of titanium alloy blades, a Ti‐6Al‐4V simulation blade was taken as the research object, and FOD tests were carried out under different working conditions by using an air cannon. The results show that the type of foreign object has an obvious influence on the impact damage, mainly reflected in the hardness and density of the foreign object materials. The greater the hardness and density of the materials, the greater the damage width and depth. The effects of foreign object size and impact velocity on damage width and depth show a positive correlation due to the impact energy. The widths and depths of FOD damage do not present obvious relationships with the impact angles, but the impact angles show some influences on the forms of damage. FOD with an angle of 0° usually results in semicircular notches, and FOD with a certain angle can cause tearing notches.

show abstract

High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distance

Lu,

Shang,

Wang

et al. 2024

Preprint

View full text Add to dashboard Cite

Aircraft engine fans and compressor blades are inevitably subject to external damage during service. It’s an important work to predict the high cycle fatigue limit of foreign object damaged blades. In this paper, machining aerofoil specimen were manufactured to simulate the foreign object damaged blade, and the high cycle fatigue limit of machining foreign object damaged TC17 titanium aerofoil specimen were tested at 3×107 cycles, and a high cycle fatigue limit prediction model of machining foreign object damaged TC17 titanium aerofoil specimen was built based on the theory of critical distance, and compared with the Peterson model. The prediction error is 9.56%±6.78% for theory of critical distance model and 59.76%±16.93% for Peterson model. The accuracy of fatigue limit prediction on notched samples using theory of critical distance model is much higher than that of Peterson model, and the theory of critical distance method model is more efficient to evaluate the fatigue strength of notched blade.

show abstract

High cycle fatigue limit prediction of foreign object damaged aerofoil samples by the theory of critical distance

Cited by 3 publications

References 24 publications

Airport Foreign Object Detection Algorithm Based on Binocular Parallax

Airport Foreign Object Detection Algorithm Based on Binocular Parallax

Research on the Damage Characteristics of Ti‐6Al‐4V Simulation Blades Subjected to Foreign Object Damage

High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distance

Contact Info

Product

Resources

About