Abstract
The slope method is a popular energy dissipation estimation method, which ignores the influence of heat exchange. Within the framework of the zero-dimensional thermal diffusion model, this paper presents a calculation method for evaluating the energy dissipation of materials in the initial stage of fatigue, which can be called the optimization method. Different from the slope method, this method takes the influence of thermal boundary conditions into consideration. Numerical simulation showed that the optimization method has the ability to accurately estimate energy dissipation in different experimental environments and is not sensitive to measurement noise. Compared with the popular slope method, the newly proposed optimization method has certain advantages in adaptability to different environments and flexibility in parameter selection. A case study was also carried out to study a high-cycle fatigue life of an aluminum alloy which demonstrated that results predicted by the proposed method matched the experimental data in the range of short fatigue life.
Highlights
The slope method is a popular energy dissipation estimation method, which ignores the influence of heat exchange
A case study was carried out to study a high-cycle fatigue life of an aluminum alloy which demonstrated that results predicted by the proposed method matched the experimental data in the range of short fatigue life
The reason may be that the joint inevitably contains some defects caused by the welding presents a calculation method for evaluating the energy dissipation of materials in the process, the dispersion of the fatigue properties of the joint is inherently greater than initial stage ofmetal fatigue, which can be called themodels, optimization method
Summary
The slope method is a popular energy dissipation estimation method, which ignores the influence of heat exchange. Compared with the popular slope method, the newly proposed optimization method has certain advantages in adaptability to different environments and flexibility in parameter selection. Different from the traditional statistical methods, the energy method is based on the energy dissipation caused by cyclic loading, which has been proved to be a valid means of characterizing the microstructure evolution of materials [2]. This kind of method largely economizes specimen cost and test time, and allows reliable results to be obtained for many kinds of metal materials [3,4]. This susceptibility questions the credibility of the temperature-based method to a certain extent [8,9]
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