Fabrication of PAN/Ag/ZnO Microporous Membrane and Examination of Visible Light Photocatalytic Performance

Hanlin Liu,Haihong Gu,Guoqing Li,Ni Li 한국섬유공학회 2021 Fibers and polymers Vol.22 No.2

In the paper, a novel polyacrylonitrile/Ag/ZnO (PAN/Ag/ZnO) microporous membrane was prepared by sequentialelectrospinning, chemical silver plating and hydrothermal reaction. Morphology and structure of PAN/Ag/ZnO membraneand the photocatalytic performance of Rhodamine Bsolution under visible-light irradiation were systematically investigated. It was found that ZnO nanorod and ZnO nanosheet with hexagonal wurtzite structure were prepared in different concentrationof growth solution. The visible light photocatalytic performance test showed that ZnO nanorod had higher photocatalyticefficiency than ZnO nanosheet. After 6 hours of irradiation, the degradation efficiency of the RhB solution of PAN/Ag/ZnOfilm with only 2 mg of ZnO nanorods reached 98 %. After 5 times of repeated experiments, there was no notable decrease inthe performance. The photocatalytic performance of the material is enhanced by chemical silver plating. Compared with theunsilvered samples, the addition of Ag not only made the microporous film grow more ZnO, but also greatly improved thevisible light photocatalytic performance by forming Ag-ZnO metal-semiconductor interface.

Dietary kapok seed meal supplementation improved meat quality without adverse effect on growth performance in finishing pigs

Li, Hanlin,Liu, Wenchao,Zhao, Pinyao,Lei, Yan,Kim, Inho Informa UK (TaylorFrancis) 2018 Journal of applied animal research Vol.46 No.1

Study on the relationship between machining errors and transmission accuracy of planetary roller screw mechanism using analytical calculations and machine-learning model

Wu Hanlin,Wei Peitang,Hu Rui,Liu Huaiju,Du Xuesong,Zhou Pengliang,Zhu Caichao 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.1

Correlation between machining errors and transmission accuracy of planetary roller screw mechanism (PRSM) plays an important role in tolerance design. In this study, analytical calculations, machine learning, and experimental verification are utilized for exploring the internal correlation between the machining errors and the transmission accuracy of the PRSM. A multi-roller meshing transmission error model is established, which comprehensively considers the eccentric error, nominal diameter error, flank angle error, and cumulative pitch error of the screw, roller, and nut. The importance coefficients of various machining errors on the transmission error are determined using the random forest algorithm. A genetic algorithm-back propagation neural network algorithm-based method is utilized for training the dataset generated via analytical calculations. The results show that the proposed analytical calculation model reflects the alternate meshing characteristics of rollers during the PRSM motion, providing a more accurate prediction of the transmission error than the existing prediction methods. For an actual mean travel deviation, the most significant machining error is the cumulative pitch error of the screw, whereas for the actual bandwidth of useful travel, the most significant machining errors are the eccentric errors of the screw and nut. The proposed prediction formulae for transmission error considering the essential machining errors illustrate reasonable prediction accuracy, with an average error of 10.63% for the actual mean travel deviation and 14.27% for the actual bandwidth of useful travel compared with the experiments, which can effectively support the direct design of PRSM tolerance in engineering practice.

A Model-free Deep Reinforcement Learning Approach for Robotic Manipulators Path Planning

Wenxing Liu,Hanlin Niu,Muhammad Nasiruddin Mahyuddin,Guido Herrmann,Joaquin Carrasco 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

Path planning problems have attracted much attention in robotic fields such as manipulators. In this paper, a model-free off-policy actor critic based deep reinforcement learning method is proposed to solve the classical path planning problem of a UR5 robot arm. Unlike standard path planning methods, the reward design of the proposed method contains smoothness reward, which assures smooth trajectory of the UR5 robot arm when accomplishing path planning tasks. Additionally, the proposed method does not rely on any model while the standard path planning method is model-based. The proposed method not only guarantees that the joint angle of the UR5 robotic arm lies within the allowable range each time when it reaches the random target point, but also ensures that the joint angle of the UR5 robotic arm is always within the allowable range during the entire episode of training. A standard path planning method was implemented in Robot Operating System (ROS) and the proposed method was applied in CoppeliaSim to validate the feasibility. It can be inferred from the experiment that the training with the proposed method is successful.

Temperature distribution prediction in longitudinal ballastless slab track with various neural network methods

Rui Zhou,Hanlin Liu,Wenhao Yuan,Yanliang Du,Jingmang Xu,Rong Chen 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.32 No.2

The temperature prediction approaches of three important locations in an operational longitudinal slab track-bridge structure by using three typical neural network methods based on the field measuring platform of four meteorological factors and internal temperature. The measurement experiment of four meteorological factors (e.g., ambient temperature, solar radiation, wind speed, and humidity) temperature in the three locations of the longitudinal slab and base plate of three important locations (e.g., mid-span, beam end, and Wide-Narrow Joint) were conducted, and then their characteristics were analyzed, respectively. Furthermore, temperature prediction effects of three locations under five various meteorological conditions are tested by using three neural network methods, respectively, including the Artificial Neural Network (ANN), the Long Short-Term Memory (LSTM), and the Convolutional Neural Network (CNN). More importantly, the predicted effects of solar radiation in four meteorological factors could be identified with three indicators (e.g., Root Means Square Error, Mean Absolute Error, Correlation Coefficient of R2). In addition, the LSTM method shows the best performance, while the CNN method has the best prediction effect by only considering a single meteorological factor.

Computer simulation of 2D grain growth using a cellular automata model based on the lowest energy principle

He, Yizhu,Ding, Hanlin,Liu, Liufa,Shin, Keesam Elsevier 2006 Materials science & engineering. properties, micro Vol.429 No.1

<P><B>Abstract</B></P><P>The morphology, topology and kinetics of normal grain growth in two-dimension were studied by computer simulation using a cellular automata (CA) model based on the lowest energy principle. The thermodynamic energy that follows Maxwell–Boltzmann statistics has been introduced into this model for the calculation of energy change. The transition that can reduce the system energy to the lowest level is chosen to occur when there is more than one possible transition direction. The simulation results show that the kinetics of normal grain growth follows the Burke equation with the growth exponent <I>m</I>=2. The analysis of topology further indicates that normal grain growth can be simulated fairly well by the present CA model. The vanishing of grains with different number of sides is discussed in the simulation.</P>

Assessment and Correction of the Spectral Quality for the Savart Polarization Interference Imaging Spectrometer

Zhongyi Han,Peng Gao,Jingjing Ai,Gongju Liu,Hanlin Xiao 한국광학회 2023 Current Optics and Photonics Vol.7 No.5

As an effective means of remotely detecting the spectral information of the object, the spectral calibration for the Savart polarization interference imaging spectrometer (SPIIS) is a basis and prerequisite of information quantification, and its experimental calibration scheme is firstly proposed in this paper. In order to evaluate the accuracy of the spectral information acquisition, the linear interpolation, cubic spline interpolation, and piecewise cubic interpolation algorithms are adopted, and the precision of the quadratic polynomial fitting is the highest, whose fitting error is better than 5.8642 nm in the wavelength range of [500 nm, 820 nm]. Besides, the inversed value of the spectral resolution for the monochromatic light is greater than the theoretical value, and the deviation between them becomes larger with the wavelength increasing, which is mainly caused by the structural design of the SPIIS, together with the rationality of the spectral restoration algorithm and the selection of the maximum optical path difference (OPD). This work demonstrates that the SPIIS has achieved high performance assuring the feasibility of its practical use in various fields.

Quasi-optical design and analysis of a remote steering launcher for CFETR ECRH system

Chao Zhang,Wang Xiaojie,Wu Dajun,Tang Yunying,Wang Hanlin,Li Dingzhen,Liu Fukun,Wu Muquan,Yan Peiguang,Gao Xiang,Li Jiangang 한국원자력학회 2024 Nuclear Engineering and Technology Vol.56 No.5

In order to optimize the operational safety and reliability of the upper launcher for the CFETR ECRH system, a design of the launcher for NTM control based on the remote steering concept is currently being carried out for comparison with the front steering equivalent. This paper presents the layout design and analysis of the quasioptical system in the remote steering launcher. A 3D visual quasi-optical design tool has been developed for the quasi-optical system, which can parameterize modeling, perform general astigmatic beam calculation and show the accurate beam propagation path in the upper port. Three identical sets of quasi-optical modules are arranged in the launcher, and each one consists of two fixed double-curvature focusing mirrors, which focus and reflect the steering beams ( 12◦–12◦) from two square corrugated waveguides. The beam characteristics at the resonance layer are described, and the average beam radius is < 100 mm. The peak head loads on the surfaces of the two fixed mirrors are 1.63 MW/m2 and 1.52 MW/m2. The position and size of the beam channel in the blanket are obtained, and the opening apertures on the launcher-facing and plasma-facing sides of the blanket module are 0.54 m2 and 0.4 m2, respectively.

Conceptual design and analysis of remote steering system for CFETR ECRH system

Chao Zhang,Xiaojie Wang,Dajun Wu,Yunying Tang,Hanlin Wang,Dingzhen Li,Fukun Liu,Muquan Wu,Peiguang Yan,Xiang Gao,Jiangang Li Korean Nuclear Society 2024 Nuclear Engineering and Technology Vol.56 No.2

In order to optimize the operational safety and reliability of the upper launcher for the CFETR ECRH system, a design of the launcher based on the remote steering concept is currently being carried out for comparison with the front steering equivalent. This paper presents the remote steering system's conceptual design and simulation analysis. A Square Corrugated Waveguide (SCW) of 65 × 65 mm has been designed with an optimized length of 9.35 m. By changing the relative length of the waveguide, the transmission efficiency of the SCW is optimized within the range of steering angles ±12°. Different error factors are investigated in detail, and corresponding acceptable error ranges are provided. Considering these error factors and ignoring ohmic losses and thermal effects, the relative transmission efficiency of the SCW is estimated to be >98 % within the steering angle range. A matching steering unit for the SCW is designed, which consists of an ellipsoidal focusing mirror and a steerable flat mirror. The detailed design of the steerable mirror motion trajectory is presented. Also, the influence of the possible beam incident errors caused by the steering unit on the transmission efficiency is analyzed in detail.