The proposed approach was extended to fatigue life prediction for 6082-T6 aluminum alloy under multi-level variable amplitude loading. The test data were compared with fatigue lives calculated by the proposed method. The results showed that predicted lives based on this method were in good agreement with the experimental data, which indicated that the approach can be applicable to fatigue life prediction for 6082-T6 aluminum alloy subjected to variable amplitude loading. The deviation of assessed fatigue lives of aluminum alloy by the approach was lower than Miner's results. In addition, a fatigue life prediction system was developed by Microsoft visual studio 2010 and the C# computer programming language. It can be obtained from the validation results that the system-predicted fatigue lives of 6082-T6 aluminum alloy were in good agreement with the results calculated by proposed approach, which indicated that the prediction system was acceptable for fatigue life prediction of 6082-T6 under variable amplitude loading.
Fatigue failure is a very common form of fracture failure for metallic materials, which can have harmful effect on the safe service of the material. In recent years, many studies have been carried out to improve the fatigue properties of materials and prolong the service life of metallic components by using different methods. Particularly, laser surface treatment technologies have been widely studied and applied in engineering due to their advantages, which can improve fatigue properties of materials by strengthening the original specimens and healing the specimens with certain damage or microcracks. This paper introduces the research status and reviews the achievements of several laser surface treatment technologies in previous research on material fatigue. In addition, the further research directions of laser surface treatment technologies in material fatigue are proposed.
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