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        Analysis and Optimization of Laying Process Parameters of Carbon Fiber Reinforced Thermoplastic Composites for Additive Manufacturing Using Robot

        Zhiqiang Liu,Yinqi Li,Yi Hao,Zhihao Ma,Xianan Gu 한국정밀공학회 2024 International Journal of Precision Engineering and Vol.25 No.3

        The research object of this paper is carbon fiber reinforced thermoplastic composite CF/PEEK. Through control planning of robot motion, simulation and experiment on Paving pressure and paving speed are carried out, and on this basis analysis and optimization are carried out. In the analysis of laying pressure, the deformation of rigid press roll and flexible press roll under different pressures is analyzed by finite element simulation. According to the laying experiment, it is certain that the flexible press roll can obtain better laying quality when laying; different pressures are selected to lay the tow. The laying range of these pressures is determined as 50–250 N according to the quality of the tow. In the temperature experiment, the temperature change of the tow in different layers under different laying speeds is analyzed. Through the experiment, it is found that there is a strong correlation between the laying speed and the laying temperature. The experiment also found that under a certain laying speed, selecting the corresponding heating temperature range can obtain higher laying quality and that selecting appropriate paving process parameters, conducting paving tests, and conducting trajectory planning based on the process can effectively reduce paving defects. Finally, in order to solve the problem of path planning for thin-wall structure carbon fiber placement, a natural path algorithm based on Laplace smoothing is proposed. The algorithm obtains the grid surface through the discretization of the thin-walled surface structure, smooths the grid using the Laplace method, and uses the natural path method to obtain the trajectory. At the same time, the algorithm also considers the layout path boundary and layer design, etc. The problem is to complete the trajectory planning through the fiber path assisted generation software and compare the trajectory points with the traditional surface mesh method to verify the rationality of the trajectory algorithm.

      • The genome of the mesopolyploid crop species Brassica rapa

        Wang, Xiaowu,Wang, Hanzhong,Wang, Jun,Sun, Rifei,Wu, Jian,Liu, Shengyi,Bai, Yinqi,Mun, Jeong-Hwan,Bancroft, Ian,Cheng, Feng,Huang, Sanwen,Li, Xixiang,Hua, Wei,Wang, Junyi,Wang, Xiyin,Freeling, Michael Nature Publishing Group, a division of Macmillan P 2011 Nature genetics Vol.43 No.10

        We report the annotation and analysis of the draft genome sequence of Brassica rapa accession Chiifu-401-42, a Chinese cabbage. We modeled 41,174 protein coding genes in the B. rapa genome, which has undergone genome triplication. We used Arabidopsis thaliana as an outgroup for investigating the consequences of genome triplication, such as structural and functional evolution. The extent of gene loss (fractionation) among triplicated genome segments varies, with one of the three copies consistently retaining a disproportionately large fraction of the genes expected to have been present in its ancestor. Variation in the number of members of gene families present in the genome may contribute to the remarkable morphological plasticity of Brassica species. The B. rapa genome sequence provides an important resource for studying the evolution of polyploid genomes and underpins the genetic improvement of Brassica oil and vegetable crops.

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