A Stiffness Modeling Approach for Multi-Leaf Spring Mechanism Supporting Coupling Error Analysis of Nano- Stages

Shuai-Shuai Lu,Peng Yan 한국정밀공학회 2017 International Journal of Precision Engineering and Vol.18 No.6

In the present paper, we take the multi-leaf spring mechanism as a particular element to develop a modeling approach for the stiffness by considering the coupling effects of the cross axis force. With this, a more accurate model of the multi-leaf spring based nano-stage is derived by incorporating the effect of cross axis input force, which can better predict the coupling error. The new analytical model indicates that the total axial stiffness is an inverse-quadratic function of the cross axis input load instead of a constant value, which can be used to analyze the cross axis coupling error of multi-leaf spring based nano-stages. The proposed analysis method is then verified by FEA and experiments, where excellent results are demonstrated in predicting the cross axis coupling effects of nano-stages such as stiffness variation and coupling error. The proposed approach offers a new look into the design and manipulation of multileaf spring based nano-stages.

Removal of sulfur element from high-sulfur coal by superconducting HGMS technology

Shuai-shuai Han,Su-qin Li,Rui-ming Yang,Chang-qiao Yang,Yi Xing 한국초전도.저온공학회 2019 한국초전도저온공학회논문지 Vol.21 No.2

Coal is the most abundant fossil fuel on Earth and is used in a wide range of applications. The direct combustion of high-sulfur coal produces a large amount of sulfur dioxide, which is a toxic and corrosive gas. A new superconducting high gradient magnetic separation (HGMS) technology was studied to remove sulfur from high sulfur coal. The magnetic separation concentrate was obtained under the optimum parameters, such as a particle size of -200 mesh, a magnetic field strength of 2.0 T, a slurry concentration of 15 g/L, and a slurry flow rate of 600 ml/min. The removal rate of sulfur is up to 59.9%. The method uses a magnetic field to remove sulfur-containing magnetic material from a pulverized coal solution. It is simple process with, high efficiency, and is a new way.

Removal of sulfur element from high-sulfur coal by superconducting HGMS technology

Han, Shuai-shuai,Li, Su-qin,Yang, Rui-ming,Yang, Chang-qiao,Xing, Yi The Korea Institute of Applied Superconductivity a 2019 한국초전도저온공학회논문지 Vol.21 No.2

Coal is the most abundant fossil fuel on Earth and is used in a wide range of applications. The direct combustion of high-sulfur coal produces a large amount of sulfur dioxide, which is a toxic and corrosive gas. A new superconducting high gradient magnetic separation (HGMS) technology was studied to remove sulfur from high sulfur coal. The magnetic separation concentrate was obtained under the optimum parameters, such as a particle size of -200 mesh, a magnetic field strength of 2.0 T, a slurry concentration of 15 g/L, and a slurry flow rate of 600 ml/min. The removal rate of sulfur is up to 59.9%. The method uses a magnetic field to remove sulfur-containing magnetic material from a pulverized coal solution. It is simple process with, high efficiency, and is a new way.

Construction of magnetic nanochains to achieve magnetic energy coupling in scaffold

Cijun Shuai,Xuan Chen,Chongxian He,Guowen Qian,Yang Shuai,SHUPING PENG,Youwen Deng,Wenjing Yang 한국생체재료학회 2022 생체재료학회지 Vol.26 No.3

Background: Fe3O4 nanoparticles are highly desired for constructing endogenous magnetic microenvironment in scaffold to accelerate bone regeneration due to their superior magnetism. However, their random arrangement easily leads to mutual consumption of magnetic poles, thereby weakening the magnetic stimulation effect. Methods: In this study, magnetic nanochains are synthesized by magnetic-field-guided interface co-assembly of Fe3O4 nanoparticles. In detail, multiple Fe3O4 nanoparticles are aligned along the direction of magnetic force lines and are connected in series to form nanochain structures under an external magnetic field. Subsequently, the nanochain structures are covered and fixed by depositing a thin layer of silica (SiO2), and consequently forming linear magnetic nanochains (Fe3O4@SiO2). The Fe3O4@SiO2 nanochains are then incorporated into poly l-lactic acid (PLLA) scaffold prepared by selective laser sintering technology. Results: The results show that the Fe3O4@SiO2 nanochains with unique core–shell structure are successfully constructed. Meanwhile, the orderly assembly of nanoparticles in the Fe3O4@SiO2 nanochains enable to form magnetic energy coupling and obtain a highly magnetic micro-field. The in vitro tests indicate that the PLLA/Fe3O4@SiO2 scaffolds exhibit superior capacity in enhancing cell activity, improving osteogenesis-related gene expressions, and inducing cell mineralization compared with PLLA and PLLA/Fe3O4 scaffolds. Conclusion: In short, the Fe3O4@SiO2 nanochains endow scaffolds with good magnetism and cytocompatibility, which have great potential in accelerating bone repair

Numerical prediction analysis of propeller exciting force for hullepropellererudder system in oblique flow

Shuai Sun,Liang Li,Chao Wang,Hongyu Zhang 대한조선학회 2018 International Journal of Naval Architecture and Oc Vol.10 No.1

In order to analyze the characteristics of propeller exciting force, the hybrid grid is adopted and the numerical prediction of KCS ship model is performed for hullepropellererudder system by Reynolds-Averaged Navier Stokes (RANS) method and volume of fluid (VOF) model. Firstly, the numerical simulation of hydrodynamics for bare hull at oblique state is carried out. The results show that with the increasing of the drift angle, the coefficients of resistance, side force and yaw moment are constantly increasing, and the bigger the drift angle, the worse the overall uniformity of propeller disk. Then, propeller bearing force for hullepropellererudder system in oblique flow is calculated. It is found that the propeller thrust and torque fluctuation coefficient peak in drift angle are greater than that in straight line navigation, and the negative drift angle is greater than the positive. The fluctuation peak variation law of coefficient of side force and bending moment are different due to various causes.

A study on Mobile e-commerce in China

Shuai SU 한국유통과학회 2018 KODISA ICBE (International Conference on Business Vol.2018 No.-

The rapid development of Internet makes electronic commerce become a new favorite business mode, and the popularity of mobile network and mobile innovation leads to a new round of business innovation.This study to investigate Mobile service quality factors influencing on customer satisfaction and repurchase intention for the research purpose. This study collected data by a survey method for an empirical. A total of 340 replies were used for data analysis. While 340 replies were collected from Chinese users of Mobile e-commerce. Our results support previous researches to results of SPSS analysis all Of the 7 hypotheses, 4 hypotheses are adopted and 3 are deleted. After an empirical analysis of this study, the academic implications are as follows. As there have not been many academic studies related to mobile commerce quality, this study can be a meaningful framework when quality factors associated with mobile commerce are being analyzed. This paper as the mobile commerce industry is very sensitive to environmental changes, academic research that can be used to cope with these changes is continuously required. Further studies should be carried out to overcome limitations that have not been analyzed by this study.

The electric and optical characteristics of IZTO/Mo:Ag/IZTO transparent conductive films

Shuai Lan,Sang-Hwi Lim,Hae-Jun Seok,Han-Ki Kim 한국진공학회 2020 한국진공학회 학술발표회초록집 Vol.2020 No.2

Risk Factors for Work-Related Musculoskeletal Disorders Among Intensive Care Unit Nurses in China: A Structural Equation Model Approach

Shuai Yang,Li Li,Liqian Wang,Jiaqi Zeng,Yinglan Li 한국간호과학회 2020 Asian Nursing Research Vol.14 No.4

Purpose: This study explored the direct and indirect effects of risk factors of work-related musculoskeletaldisorders (WRMDs) in nurses working in intensive care units (ICUs). Methods: A cross-sectional study design was used. ICU nurses from 28 tertiary hospitals in the Hunanand Guangdong provinces participated in a survey conducted via a self-reported online questionnaire. Astructural equation model was used to fit the data and to evaluate associations among WRMDs and riskfactors. Results: Valid questionnaire samples were submitted by 984 ICU nurses. The prevalence of WRMDswithin the previous year among ICU nurses was 96.8%. A valid structural equation model was constructed,and a good fit was shown: Chi-square value/degrees of freedom ¼ 2.248; comparative fitindex ¼ .931; normal fit index ¼ .905; goodness-of-fit index ¼ .978; adjusted goodness-of-fit index ¼.966; and root mean square error of approximation ¼ .036. All regression coefficients for direct effectreached significant levels (critical ratio > 1.96 and p < .05). In the structural equation model, theoccurrence of WRMDs was directly affected by the following: physical factors, risk perception, and jobstress. Physical factors and a safe environment indirectly affected WRMDs through risk perception andjob stress. The strongest correlations with WRMDs were physical factors. Conclusion: The model provided a new perspective for understanding the associations among physicalfactors, workplace safety environment, risk perception, job stress, and WRMDs. To improve the practicesetting of the ICU, efforts should be made to help prevent WRMDs from physical, psychosocial, andenvironmental factors.

Remote control system based on the internet and machine vision for tracked vehicles

Shuai Wang,Shubing Zhang,Ruoding Ma,E. Jin,Xinhui Liu,He Tian,Ruipeng Yang 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.3

A remote control system based on the Internet and machine vision is designed in this study for tracked vehicles. The system consists of remote monitoring, remote control, and visual navigation subsystems. The on-board computer receives control commands issued by the monitoring center and controls the speed and steering angle of the tracked vehicles. The front camera collects navigation line information, and the collected image is processed by filtering, gray processing, binarization processing, and interference elimination to obtain the center point coordinates of the navigation line. Proportional-integral-derivative (PID), fuzzy PID, and neural network control algorithms are compared based on the distance and angle deviations of the preview point to control the operation of tracked vehicles through simulation. The Internet remote control system with the fuzzy PID control algorithm is then tested on a tracked vehicle. Experimental results indicate that the trajectory of the tracked vehicle fits the navigation path well.

A Real Time Traffic Flow Model Based on Deep Learning

Shuai Zhang,Cai Y. Pei,Wen Y. Liu 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.8

Urban development has brought about the increasing saturation of urban traffic demand, and traffic congestion has become the primary problem in transportation. Roads are in a state of waiting in line or even congestion, which seriously affects people's enthusiasm and efficiency of travel. This paper mainly studies the discrete domain path planning method based on the flow data. Taking the traffic flow data based on the highway network structure as the research object, this paper uses the deep learning theory technology to complete the path weight determination process, optimizes the path planning algorithm, realizes the vehicle path planning application for the expressway, and carries on the deployment operation in the highway company. The path topology is constructed to transform the actual road information into abstract space that the machine can understand. An appropriate data structure is used for storage, and a path topology based on the modeling background of expressway is constructed to realize the mutual mapping between the two. Experiments show that the proposed method can further reduce the interpolation error, and the interpolation error in the case of random missing is smaller than that in the other two missing modes. In order to improve the real-time performance of vehicle path planning, the association features are selected, the path weights are calculated comprehensively, and the traditional path planning algorithm structure is optimized. It is of great significance for the sustainable development of cities.