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A variety of phenomenological models have been developed and validated at a specimen level to simulate plasticity and fracture of metallic materials using finite element analysis.
The aim of this work is the detection of open defects in metallic materials using laser-material interaction coupled with infrared thermography.
The purpose of altering the surfaces of metallic materials using biomedical thin films and nanocoatings is to promote bioactivity, reliability, and biocompatibility while at the same time eliminating or reducing corrosion and metal ion release.
This paper reviews the capabilities of a plasticity-induced crack-closure model to predict fatigue lives of metallic materials using 'small-crack theory' for various materials and loading conditions.
Comparing to five classic multiaxial fatigue models, including the maximum effective strain model, the maximum shear strain model, the Fatemi-Socie (FS) model, the Smith-Watson-Topper (SWT) model and Itoh model, the predicted multiaxial fatigue lives of three metallic materials using the proposed model agreed better with the experimental results.
In a previous study, we report the synthesis of weblike nanoparticles aggregate of silicon and metallic materials using MHz frequency femtosecond laser radiation under ambient condition [5] and is explained by the theory of vapor condensation.
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Steel accounts for about 80% of all metallic materials used in different applications.
This is especially important in the case of metallic materials used in long-term medical implants.
Metallic materials used in steam turbine are exposed to cyclic loading at high temperature and steam environment, during their service life.
Therefore, the frame is lighter and stronger than a frame of the other metallic materials used under the sea water in convention.
Despite significant progress made in the selection of metallic materials used in various types of medical implants, their toxic effects on the human body have yet to be entirely eliminated.
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