http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Xie, Li-hua,Quan, Xin,Zhang, Jie,Yang, Yan-yan,Sun, Run-hong,Xia, Ming-cong,Xue, Bao-guo,Wu, Chao,Han, Xiao-yun,Xue, Ya-nan,Yang, Li-rong The Korean Society of Plant Pathology 2019 Plant Pathology Journal Vol.35 No.1
Gaeumannomyces graminis var. tritici is a soil borne pathogenic fungus associated with wheat roots. The accurate quantification of gene expression during the process of infection might be helpful to understand the pathogenic molecular mechanism. However, this method requires suitable reference genes for transcript normalization. In this study, nine candidate reference genes were chosen, and the specificity of the primers were investigated by melting curves of PCR products. The expression stability of these nine candidates was determined with three programs-geNorm, Norm Finder, and Best Keeper. $TUB{\beta}$ was identified as the most stable reference gene. Furthermore, the exopolygalacturonase gene (ExoPG) was selected to verify the reliability of $TUB{\beta}$ expression. The expression profile of ExoPG assessed using $TUB{\beta}$ agreed with the results of digital gene expression analysis by RNA-Seq. This study is the first systematic exploration of the optimal reference genes in the infection process of Gaeumannomyces graminis var. tritici.
An Efficient Parallel Infilling Strategy and Its Application in Sheet Metal Forming
Yan-Min Xie,Yuan-Heng Guo,Fei Zhang,Yue-Peng Yue,Mei-Qiang Feng,Jiang-Bo Zhao 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.8
Infilling strategies play an important role in kriging based optimization, especially when computationally expensive simulations are involved. In order to improve the efficiency of constructing a high-precision kriging model, an improved expected improvement criterion (IEI) and a parallel infilling strategy are proposed based on the maximum expected improvement (EI) criterion. In the proposed parallel infilling strategy, new sample points are generated by employing IEI criterion coupled with EI criterion. During the improved sampling process, redundant and pseudo sample are deleted in order to avoid failure of constructing a kriging model. An improved weighted particle swarm optimization (WPSO) algorithm is proposed to improve optimization efficiency. The proposed parallel infilling strategy is applied to nonlinear function optimization and variable blank holder force (VBHF) optimization in a double-c stamped part. Based on the LHD and software DYNAFORM, kriging models between the VBHF and forming quality are constructed. Compared with the initial kriging models, the meat relative error of kriging models with the proposed parallel infilling strategy for the wrinkling and average thinning rate are reduced by 95% and 55%, respectively. The optimal VBHF is obtained by the WPSO. The results show that, cracking has been completely eliminated and wrinkling has been decreased, greatly improving the forming quality of the double-c stamped part.
Yan-Min Xie,Wei Tang,Fei Zhang,Bei-Bei Pan,Yaopeng Yue,Meiqiang Feng 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.2
Variable blank holder force (VBHF) is an important process parameter in sheet metal forming. The purpose of this study is to propose a sharing niching radial basis function (SNRBF) neural network for VBHF optimization. Two methods are put forward to improve the prediction accuracy of a RBF neural network. (1) A RBF neural network is trained by a sharing niching technique to achieve global optimal nodes. (2) In Latin hypercube design, Spearman correlation analysis is employed to decrease sample correlation. In addition, in order to improve the performance of the non-dominated sorting genetic algorithm (NSGA-II), excellent individuals in each class of non-dominated individuals are selected by employing immune operators. Based on the Spearman correlation analysis and the Latin hypercube method, training samples are generated and numerical simulations are performed for a double C part. The surrogate models between VBHF and forming quality are constructed by a SNRBF neural network. The Pareto frontier solutions are achieved by employing the improved NSGA-II algorithm. Grey relational analysis is applied to determine the optimal VBHF loading trajectory. The results show decreased wrinkles in the optimized forming part and greater uniformity in the plastic deformation by employing the optimized VBHF, thereby leading to improvement in the forming quality of the double C.
Yan-Min Xie,Ren-Yong Huang,Wei Tang,Bei-Bei Pan,Fei Zhang 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.4
Investigation on twist springback is important to improve the accuracy of forming parts. In this paper, a double C rail made of transformation induced plasticity 780 (TRIP 780) steel is designed, and the stamping and twist springback are simulated with ABAQUS based on three different hardening models (including Ziegler, Johnson-Cook and combined hardening models). A new index for calculating the twist springback is proposed, which is based on the angle between two end section lines of the double C rail. The experimental results of twist springback are compared with the calculation results from three different hardening models. The calculation results based on combined hardening model are the closest to the experiment data. In order to compensate twist springback, a curved surface die is designed based on the geometric shape of the double C rail after twist springback. The stamping and twist springback are simulated based on the curved surface die and combined hardening model, and the twist springback is decreased obviously after compensation, which shows that the compensation of twist springback is effective.
Yan Xie,Shaofeng Lu,Wenzhao Shi,Haizhu Wang,Kuang Wang 한국섬유공학회 2022 Fibers and polymers Vol.23 No.9
Water-based polyurethane (WPU) provides a number of benefits over typical solvent-based polyurethane. WPU ismore environmentally friendly, safe, and reliable. The WPU with polycaprolactone diol/polycarbonate diol (PCL/PCDL)complex soft segment was developed using a prepolymer technique to enhance the color depth of cotton knitted fabrics dyedwith reactive dyes. The appearance, particle size, zeta potential, and viscosity of WPU emulsions were analyzed. Thechemical structure, thermal stability, phase change performance, and topography of WPU films were characterized byFourier-transform infrared (FTIR), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), and atomicforce microscopy (AFM), respectively. The tensile and hydrophilic properties of the WPU films were examined by anelectronic universal testing machine and contact angle goniometer, respectively. The K/S value, rubbing fastness, washingfastness, and wearability of finished and unfinished dark cotton knitted fabrics were measured. Simultaneously, the chemicalstructure and morphology of fabrics were investigated using FTIR and scanning electron microscopy (SEM). The resultsshow the WPU-2 emulsion demonstrated excellent stability, and the WPU-2 film showed superior thermal stability. The K/Svalue of the dark cotton knitted fabric finished with WPU-2 emulsion (40 g/l) increased by 18.58 %, and the wet rubbingcolor fastness of the resulting fabric was enhanced. The SEM results show a layer of film covered the surface of the finishedfabric. In summary, the WPU can provide a new technique for enhancing the color depth of fabrics.