Exceptional high fatigue strength in Cu-15at.%Al alloy with moderate grain size

Abstract

It is commonly proposed that the fatigue strength can be enhanced by increasing the tensile strength, but this conclusion needs to be reconsidered according to our study. Here a recrystallized α-Cu-15at.%Al alloy with moderate grain size of 0.62 μm was fabricated by cold rolling and annealing, and this alloy achieved exceptional high fatigue strength of 280 MPa at 107 cycles. This value is much higher than the fatigue strength of 200 MPa for the nano-crystalline counterpart (0.04 μm in grain size) despite its higher tensile strength. The remarkable improvement of fatigue strength should be mainly attributed to the microstructure optimization, which helps achieve the reduction of initial damage and the dispersion of accumulated damage. A new strategy of “damage reduction” was then proposed for fatigue strength improvement, to supplement the former strengthening principle. The methods and strategies summarized in this work offer a general pathway for further improvement of fatigue strength, in order to ensure the long-term safety of structural materials.

Modulating fatigue property of in situ Ti‐based metallic glass composites by changing dendrite composition

“…It is previously reported that the in Basquin equation is in scale with the tensile strength of materials 20 . So it is speculated that the strength variation (see Figure 6) between the M0 and M10 MGCs is responsible for the difference of .…”

“…It is previously reported that the σ 0 f in Basquin equation is in scale with the tensile strength of materials. 20 So it is speculated that the strength variation (see Figure 6) between the M0 and M10 MGCs is responsible for the difference of σ 0 f . On the other hand, the b is assumed to be correlated with the microstructure and damage mechanisms of materials.…”

“…The difference in deformation mechanisms results in different tensile properties, and especially, the martensitic transformation is beneficial for the good balance of tensile strength and plasticity as well as workhardening ability. 17,18 Considering the positive correlation between the fatigue properties and tensile properties, 19,20 one may wonder how are the fatigue properties of these MGCs varied with changing the composition? What are the fatigue damage mechanisms and whether are they varied with changing the composition?…”

Grain Knowledge Graph Representation Learning: A New Paradigm for Microstructure-Property Prediction

“…The material's crystal structure is of great significance to the research and development of modern advanced metal materials [1][2][3]. Micro-domain grains, texture, and others affect the formability of a part, which is directly related to the material's mechanical properties [4][5][6][7].…”

“…The methods based on qualitative manual analysis include orientation distribution analysis, inverse pole figure analysis, grain size analysis, etc. Based on this statistical approach, researchers observe specific features through images or statistical functions, thereby establishing a qualitative structure-performance relationship [2,[4][5][6][7][9][10][11][12][13]. Another method is to simulate and calculate the structure and properties of materials by establishing physical models, such as Visco-plasitic Self Consistant (VPSC), crystal plasticity finite element method [14][15][16][17][18][19].…”