Papers by Author: Wei Zhang

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Authors: Song Lin, Sheng Li Lv, Wei Zhang, Xiao Yan Tong
Abstract: The pre-corrosion damage tests of LC4 aluminum alloy with the shot peening surface treatment and un-shot peening surface treatment are performed under two different time levels: 12h and 24h. Based on the observation of the corrosion morphology of aluminum alloy, the corrosion damage mechanism of shot peening aluminum alloy can be divided into three stages: intergranular corrosion occurs first, and then denudation generates, at last pitting corrosion occurs as denudation depth reaches a certain degree. For shot peening aluminum alloy, the denudation depth, mass loss and the total depth of corrosion damage are used to represent the corrosion characteristics. With the corrosion time increase, the three parameters all increase correspondingly.
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Authors: Sheng Li Lv, You Cui, Wei Zhang, Xiao Yan Tong
Abstract: The pre-corrosion damage tests of LC4 aluminum alloy with the shot peening surface treatment and un-shot peening surface treatment are performed under different time levels. The residual strength has been studied by test after corrosion damage. An analysis procedure is developed using 3D reconstruction solid model and finite element analysis to predict residual strength, The relationship of static intensity and the corrosion damage are founded. An effective engineering technique for predicting residual strength of corroded structure is established on the base of this studying work.
2587
Authors: Cheng Long Xu, Sheng Li Lv, Zhen Guo Wang, Wei Zhang
Abstract: The purpose of this work was to predict the fatigue life of pre-corroded LC4 aluminum alloy by applying artificial neural network (ANN). Specimens were exposed to the same corrosive environment for 24h, 48h, and 72h. Fatigue tests were conducted under different stress levels. The existing experimental data sets were used for training and testing the construction of proposed network. A suitable network architecture (2-15-1) was proposed with good performance in this study. For evaluating the method efficiency, the experimental results have been compared to values predicted by ANN. The maximum absolute relative error for predicted values does not exceed 5%. Therefore it can be concluded that using neural networks to predict the fatigue life of LC4 is feasible and reliable.
221
Authors: Wei Zhang, Lei Jiang Yao, Xiao Yan Tong
Abstract: Lightweight design was carried out in order to meeting the requirement of long endurance. Structure form was designed based on loading characteristics. Rationality of structure form was verified by finite element method and static tests, which proved deformation of wing measuring up mechanical properties of cell panel. Finite element modal analysis was performed. Then mode test was carried to correcting analysis results. Low order modes by testing are coincided with that computed in finite element method (FEM).
227
Authors: Dong Mei She, Sheng Li Lv, Wei Zhang, Xiao Yan Tong
Abstract: As the data of aluminum alloy corrosion is increasing, the experimental data and results of corrosion damage are collected in this paper, thus the corrosion damage draft at different corrosion time and temperature are obtained. The Oracle 10g is introduced as basic database to design the image database of aluminum alloy corrosion damage. The front makes use of the asp.net to realize the web information displaying, meanwhile the corrosion damage database of aluminum alloy is realized the image data storage and retrieval. This provides a great convenience for researchers to utilize corrosion damage data. At the same time, the database stores the image data effectively, which improves the computer memory usage.
1163
Authors: Zhen Guo Wang, Sheng Li Lv, Cheng Long Xu, Wei Zhang
Abstract: . The corrosion damage data are obtained through the pre-corrosion accelerated experiment which is performed under three different time levels: 24h, 48h and 72h. Based on the corrosion damage data, a three-dimension (3D) solid model is created by CAD. An analysis procedure is developed using CAD and finite element analysis to predict stresses and residual strength due to corroded pits. The residual strength results of specimens are obtained from the model based on the corrosion damage data. The simulation results are compared with the true testing static intensity results and the method is proved that it is reliable and effective in engineering.
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Authors: Sheng Li Lv, Zhen Guo Wang, Cheng Long Xu, Wei Zhang
Abstract: According to the various grey values at different regions in an image, a three-dimension (3D) solid model is reconstructed based on the pitting corrosion damage data obtained from the pre-corrosion accelerated experiment which is performed under four different time levels: 12h, 24h, 48h and 72h by CAD. An analysis procedure is developed using finite element analysis to predict stresses and the crack nucleation site due to corroded pits. Based on the observations on fatigue fracture section, the AFGROW software is used to simulate the influence of a variety of corrosion damages and corrosion pit depths on the specimen’s residual fatigue life. An effective and reliable engineering method for predicting fatigue life of corroded specimen is established on the base of this research work.
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