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        NOVEL BENCH-BASED INSPECTION APPROACH FOR AUTOMOBILE ANTI-LOCK BRAKING SYSTEM

        Xiangmo Zhao,Ruru Hao,Zhou Zhou,Amira Ashour,Nilanjan Dey 한국자동차공학회 2018 International journal of automotive technology Vol.19 No.5

        Bench inspection approach for automobile Anti-lock Braking System (ABS) has gained research interests recently due to its high efficiency, small site occupation and insusceptibility to environment influences. The current work proposed a novel systematic bench inspection approach for ABS. In order to dynamically simulate various road adhesion coefficients, torque controllers are used for loading different torques to the drums. Furthermore, flywheels are adopted to simulate the translational inertia of the vehicle braking on road for compensating the inertial energy of ABS road experiment on the bench. The principal component analysis (PCA) is applied for accurate and efficient data analysis. The automatic evaluation of ABS is achieved by using the processed PCA data as an input to the back-propagation (BP) neural network classifier. The experiments established that the new approach can accurately simulate various road braking conditions. It can be carried out for the inspection of ABS installed in the car.

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        Acetalization of glycerol over sulfated UiO-66 under mild condition

        Yuanyuan Jiang,Ruru Zhou,Boyong Ye,Zhaoyin Hou 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.110 No.-

        Sulfated metal–organic framework has attracted much attention as a versatile heterogeneous acid for itsstrong acid strength, large surface area and regular pore channels. In this work, sulfated UiO-66 (UiOSO3H-x) was prepared via the direct oxidation of 2-mercaptobenzoic acid substituted UiO-66. The structureand property of the synthesized UiO-SO3H-x were characterized via XRD, FTIR, static water contactangles, XPS, TG-DTA, N2 adsorption–desorption, SEM and TEM in detail. It was found that sulfonic acidgroups dispersed homogenously in the framework of UiO-SO3H-x. And UiO-SO3H-0.2 exhibited excellentperformance and stability for the synthesis of solketal from surplus glycerol among the tested solid acids(H3PW12O40, Amberlyst-45, HY, HBEA, HZSM-5 and ZrHP). The detected conversion of glycerol reached70.3% with a 99.8% selectivity toward solketal at 60 C, and it could maintain its initial activity in fiverecycles. The highest TOF of each acid site in UiO-SO3H-0.2 reached 676.0 h1. Moreover, it was versatilefor the acetalization of glycerol with other ketones/aldehydes.

      • KCI등재

        Color Prediction for Pre-Colored Cotton Fiber Blends Based on Improved Kubelka-Munk Double-Constant Theory

        Ge Zhang,Jian Zhou,Ruru Pan,Lei Wang,Weidong Gao 한국섬유공학회 2021 Fibers and polymers Vol.22 No.2

        The accuracy of color prediction results for pre-colored fiber blends is critical in the textile industry. In this paper,we attempt to investigate a feasible method for predicting the color of pre-colored fibers blends. Five pre-colored cottonfibers were divided into two groups, one for achromatic primaries (white and black) and one for chromatic primaries (red,blue, and yellow). Their respective absorption coefficient (K) and scattering coefficient (S) were calculated by the leastsquares method from the prepared fiber blends samples. The color information of the 34 test blending samples including twoprimaryand three-primary was predicted by the improved Kubelka-Munk (K-M) double-constant theory. Comparing withthe measurement results, the minimum and maximum DE00 color differences were 0.215 and 1.890. The variance of colordifference for two-primary samples was 0.128 and for three-primary samples was 0.154, both were smaller than that obtainedby the K-M theory relative value method, the Stearns-Noechel (S-N) model, revised S-N models, and the Friele model. Theresults show that the improved K-M double-constant theory can be used to better predict the color blending effect of precoloredfibers.

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