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Finally, an engineering procedure is presented to enable practical applications of the Weibull stress model for defect assessments.
First, a model for defect nucleation induced by hydrogen ion implantation is established based on the continuum mechanics theory accounting for the crystal structure of silicon.
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Hewett and Kijsanayothin [17] developed models for defect repair time prediction using seven different machine learning algorithms, e.g., decision trees and support vector machines.
In conclusion, we were able to establish a small animal model for bone defect healing which allows modeling the mechanical conditions at the defect site in a defined manner.
A model for the defect was established based on the elasticity theory of Eshelby and Khachaturyan.
In this paper, we develop a theoretical model for extended defect migration in the presence of diffusing impurities which is valid in cases where impurity drag is significant.
Hence, by assuming an additive two-state positron-trapping model for these defect states, we obtain a realistic possibility of their quantitative parameterization.
The Defect Stress Gradient approach from Vincent et al. (2014) has been further improved by a general ellipsoidal geometry model for surface defects, and has been utilized for the fatigue assessment of defective nodular cast iron.
To investigate the effect of these two growth factors, a fetal sheep model for skin defects was used.
In this paper, hybrid chromosome genetic algorithm is applied to establishing the real-time classification model for surface defects in a large-scale strip steel image collection.
Importantly, all engineered tissues had similar or improved biomechanical properties compared to rat tracheas, which suggests they could be transplanted into a small animal model for airway defects.
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