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Deformation performance analysis of thin plates based on a deformation decomposition method
Dongwei Wang,Kaixuan Liang,Panxu Sun 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.84 No.4
Thin plates are the most common spatially stressed members in engineering structures that bear out-of-plane loads. Therefore, it is of great significance to study the deformation performance characteristics of thin plates for structural design. By constructing 12 basic displacement and deformation basis vectors of the four-node square thin plate element, a deformation decomposition method based on the complete orthogonal mechanical basis matrix is proposed in this paper. Based on the deformation decomposition method, the deformation properties of the thin plate can be quantitatively analyzed, and the areas dominated by each basic deformation can be visualized. In addition, the method can not only obtain more deformation information of the structure, but also identify macroscopic basic deformations, such as bending, shear and warping deformations. Finally, the deformation properties of the bidirectional thin plates with different sizes of central holes are analyzed, and the changing rules are obtained.
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Xian Jing,Kaixuan Wang,Jieqiong Lin,Peng Liu,Yudi Kan,Xu Zheng,Jie Sun,Yingchun Li 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.1
Slicing reference data and adaptive slicing algorithm are the key issues to find out appropriate layer thicknesses of three-dimensional (3D) microstructures with free-form surface in two photon polymerization (TPP). In the present work, an adaptive slicing method (ASM) was proposed to improve the fabricating efficiency of 3D microstructures with free-form surface in TPP microfabrication. In the proposed method, slicing reference data were obtained by intersecting a series of vertical planes with the triangular patch format along characteristic directions. Maximum acceptable chordal height played a role as judging criteria to obtain appropriate layer thicknesses. What's more, typical 3D microstructures with free-form surfaces were fabricated with uniform slicing method (USM) and the proposed ASM, respectively. The comparison results showed that the proposed method effectively improved fabricating efficiency, guaranteeing an acceptable surface quality at the same time. This work was expected to provide references for improving fabrication efficiency of complex 3D microstructures in TPP.
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Zhang, Lei,Wang, Wanlin,Xie, Senlin,Zhang, Kaixuan,Sohn, Il Elsevier 2017 Journal of non-crystalline solids Vol.460 No.-
<P><B>Abstract</B></P> <P>The effect of basicity (weight ratio of CaO/SiO<SUB>2</SUB>) and B<SUB>2</SUB>O<SUB>3</SUB> on the viscosity and structure of Fluorine-free mold flux for the casting of medium carbon steels was conducted in this article, through the rotating cylinder method combined with the Fourier transform infrared (FTIR) spectroscopy. The results showed that, with the increase of basicity, the viscosity of mold flux was attenuated dramatically, and then kept constant or slight increased in the low temperature region. The reason could be explained as the degree of polymerization (DOP) of the network structure was first reduced significantly with the addition of basicity, and then the further depolymerization is less pronounced with the further increase of basicity. Beside the formation of high melting point substance leads to the slight increase of viscosity. Moreover, it suggested that the viscosity of mold flux is decreased with the addition of B<SUB>2</SUB>O<SUB>3</SUB> content, due to the fact that B<SUB>2</SUB>O<SUB>3</SUB> is a low melting point oxide which could substantially lower the break temperature of mold flux. The result of FTIR indicated B<SUB>2</SUB>O<SUB>3</SUB> acts as network former, and tends to form [BO<SUB>3</SUB>]-trihedral and [BO<SUB>4</SUB>]-tetrahedral structural units, which would connect with each other to form some simple network structure such as diborate or pentaborate. With the addition of B<SUB>2</SUB>O<SUB>3</SUB>, the free oxygen ions (O<SUP>2−</SUP>) would depolymerize the diborate structural unit, and the depolymerized diborate would link again with free [BO<SUB>3</SUB>]-trihedral to form complex pentaborate groups. Moreover, the effect of above addition on the apparent activation energy for viscous flow and break temperature of mold flux also were discussed. The results obtained in this paper provide the detailed study of the structure evolution of Fluorine-free mold flux when B<SUB>2</SUB>O<SUB>3</SUB> is added.</P>
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Qing Chen,Guohui Zhang,Kaixuan Wang,Chao Wang,Guangzhu Ding,Jieping Liu 한국고분자학회 2017 Macromolecular Research Vol.25 No.4
The growth of spherulites is an intricate process and the final morphology is dependent on many process conditions. The spherulitic morphologies of poly(3-hydroxybutyrate) (PHB) crystallized from melt film are observed under various crystallization temperature gradient (the non-isothermal crystallization) in this work. Characterization reveals that the crystal morphologies (banded or nonbanded spherulites) of PHB film are determined significantly by nucleation temperature (not growth temperature). Interestingly, banded spherulites, nucleated between 60-135 oC, are able to grow completely above growth temperature 135 oC or below 60 oC yet and non-banded shperulites nucleated at above 135 oC can also develop steadily till below growth temperature 135 oC under temperature gradient condition. Therefore, the conclusion drawn from the temperature gradient or non-isothermal process is novel and different from the result of isothermal crystallization (morphology mainly depending on the growth temperature). In addition, the growth and evolution kinetics of banded and non-banded spherulites are both investigated for some polymer thin films under the temperature gradient in detail.
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Real-time online optimal control of current-fed dual active bridges based on machine learning
Han, Ming,Liu, Xiaosheng,Pu, Honghong,Zhao, Liang,Wang, Kaixuan,Xu, Dianguo The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.1
This paper proposes a real-time online optimal (RT-OPT) control method based on machine learning for a current-fed dual active bridge (CF-DAB). The basis of this control strategy is the linear quadratic optimal control, which designs the sliding surface and realizes power control based on sliding mode control (SMC). For the parameters of Q and R in the objective function of the linear quadratic regulator (LQR), a genetic algorithm is used to find the optimal value, and the optimal value is taken as the sample data. Through machine learning offline training, a neural network is obtained and run online to realize real-time online optimal control. The control method was verified by simulations in MATLAB/Simulink. The RT-OPT method achieves the expected functionality, and has better dynamic and steady-state performance than the PI controller.
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