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RISS 인기검색어
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- 저자 : Yinhua Liu (검색결과 5 건)
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Yinhua Liu,Rui Sun,Yuwei Lu,Shiming Zhang 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.10
The real-time process fault detection in the multi-station assembly process is always a challenging problem for auto body manufactures. Traditionally, the fault diagnosis approaches for variation source identification are divided into two categories, i.e. the pattern matching methods and model-based estimation ones based on the collected data set. The measurements provide effective process monitoring, but the real-time process fault diagnosis in the assembly process is still difficult with the traditional diagnosis techniques, and always depends on the engineering experience in practice. Based on the assembly process knowledge, including multi-station assembly hierarchy, fixture scheme, measurement characteristics and tolerances etc. in the multi-station, a knowledge-based diagnostic methodology and procedures are proposed with the measurements of each body in white for part/component defections and faulty assembly station identification. For the station involved with defective parts/components, the sub-coordinate system of the part/component is established reflecting its position and pose in the space, and then the relative pose matrix to the “normally build” pose is calculated based on the deviations of sub-coordinates of the parts in this station. Finally, the assembly process malfunctions are determined by a proposed rule-based strategy with the relative pose matrix in real time. A simple 3 stations assembly process with 5 sheet metal parts was analyzed and compared with the traditional diagnostic method to verify the effectiveness and stability of the proposed method.
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Yinhua Jiang,Fan Liu,Yan Liu,Yuanzhi Hong,Peipei Liu,Liang Ni 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.41 No.-
An interlayer structure hybrid photocatalyst of TiO2 hollow sphere/g-C3N4 (TOCN) has been successfullyconstructed via a facile impregnation process. The photocatalytic activity was evaluated by degradingRhodamine B under visible irradiation. TOCN-2 with 33 wt.% g-C3N4 had much higher photocatalyticefficiency (98.09%) than pure g-C3N4 (18.62%) and TiO2 hollow sphere (16.37%). Significantly, TOCN-2 showed much superior photocatalytic performance than TiO2 nanoparticle/g-C3N4 composite (53.16%),indicating the hollow morphology of TiO2 also played a crucial role for RhB degradation. In TOCN system,both the morphology effect of TiO2 and the synergistic effects between TiO2 and g-C3N4 resulted insignificantly enhancing photocatalytic performance.
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Effect of Contact Pressure on Reciprocating Wear Behavior of PEEK, PTFE, and UHMWPE
Liu Lian,Duan Haitao,Jia Dan,Tu Jiesong,Zhan Shengpeng,Li Yinhua,Luo Xiaoshuang,Zhan Wen,Xiong Wei,Li Jian 한국고분자학회 2020 폴리머 Vol.44 No.6
Engineering plastics are macromolecular compounds composed of covalently bonded macromolecules, which have been widely used in sliding wear-resistance materials in isolation bearings. In this study, an MFT-5000 reciprocating friction testing machine was used to compare the friction and wear performance of polyetheretherketone (PEEK), polytetrafluoroethylene (PTFE), and ultra-high molecular weight polyethylene (UHMWPE) under heavy load conditions in dry friction condition. The results show that load has a significant effect on the friction coefficient, wear rate, and wear mechanism of three materials. The instant friction coefficient of PTFE fluctuates under high load, the wear rate clearly increases with the increase in load. Therefore, the application under high load conditions is limited. The wear rate of UHMWPE is the least affected by the load among the three materials. Even when the load exceeds the yield strength, the wear resistance is still good. The friction coefficient of PEEK decreases with the increase in load but maintains a high value that restricts its application in sliding friction pair materials to some degree.
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Weicai Wu,Leijing Liu,Yinhua Zhou,Shanpeng Wen,Wenjing Tian 한국물리학회 2009 Current Applied Physics Vol.9 No.5
The influence of two components blend ratio, solution concentration and thermal annealing on the morphology of poly(2-methoxy-5-(2'-ethyl-hexyloxy)-p-phenylenevinylene) (MEH-PPV): N,N'-bis(1-ethylpropyl)-3,4:9,10-perylene bis(tetracarboxyl diimide) (EP-PTC) blend films spin-cast from chloroform solutions has been studied using atomic force microscopy (AFM). The AFM images show that the dimension of the phase separation increases with the EP-PTC content and total solution concentration. When the annealing temperature increases from 90 to 150 ℃, the EP-PTC crystal-like clusters grow rapidly. Solar cells based on MEH-PPV:EP-PTC blend films with different weight ratios were fabricated. The device with 1:3 weight ratio has a higher power conversion efficiency (PCE) of 0.072% compared with the devices with 1:1, 1:2 and 1:4 ratio, which increases by about 14 times over that of the device with 1:1 ratio that has a PCE of 0.005%. It is indicated that the optimum performance of the photovoltaic device is strongly related to the finer phase separation between MEH-PPV and EP-PTC on a submicron scale which enables an efficient dissociation of photogenerated excitons, and the pure EP-PTC phase can build up a percolating network with pathways large enough to enhance electron transport.
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Li Hong,Chengliang Yan,Tang Yanqiong,Ma Xiang,Chen Yinhua,Chen Songbi,Lin Min,Liu Zhu 한국미생물학회 2020 The journal of microbiology Vol.58 No.7
Endophytes colonize tissues of healthy host plants and play a crucial role in plant growth and development. However, little attention has been paid to the endophytes of tuber crops such as cassava, which is used as a staple food by approximately 800 million people worldwide. This study aimed to elucidate the diversity and composition of endophytic bacterial and fungal communities in different cassava cultivars using high-throughput sequencing. Although no significant differences in richness or diversity were observed among the different cassava cultivars, the community compositions were diverse. Two cultivars (SC124 and SC205) tolerant to root rot exhibited similar community compositions, while two other cultivars (SC10 and SC5), which are moderately and highly susceptible to root rot, respectively, harboured similar community compositions. Proteobacteria, Firmicutes, and Ascomycota dominated the endophyte assemblages, with Weissella, Serratia, Lasiodiplodia, Fusarium, and Diaporthe being the predominant genera. The differentially abundant taxonomic clades between the tolerant and susceptible cultivars were mainly rare taxa, such as Lachnoclostridium_5, Rhizobium, Lampropedia, and Stenotrophomonas. These seemed to be key genera that affected the susceptibility of cassava to root rot. Moreover, the comparison of KEGG functional profiles revealed that ‘Environmental adaptation’ category was significantly enriched in the tolerant cultivars, while ‘Infectious diseases: Parasitic’ category was significantly enriched in the susceptible cultivars. The present findings open opportunities for further studies on the roles of endophytes in the susceptibility of plants to diseases.
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