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Rui Huang,Xinquan Zhang,Boon Ping Ng,A. Senthil Kumar,Kui Liu 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.8 No.1
Fresnel-based concentrated photovoltaic (CPV) solar power systems have been proven effective to significantly enhance the photoelectric conversion efficiency, but a standard-size solar plant will require an extremely large amount of polymer radial Fresnel lenses. Roll-to-roll (R2R) manufacturing is a high-throughput technology to mass produce high-quality functional optical polymer fi lm. In this paper, we have firstly studied a complete manufacturing cycle for R2R embossing of radial Fresnel lens polymer fi lm for CPV systems, in terms of polymer lens design, roller mold machining, R2R embossing and optical performance test. Instead of wrapping an electroplated metal sheet onto the roller in conventional R2R process, the lens pattern array is directly machined using a 5-axis ultra-precision machining system to guarantee its surface quality and accuracy. Optical performance evaluation for the manufactured polymer fi lm using a reference solar cell is conducted, and results have shown that radial Fresnel lens on the polymer fi lm can achieve a sunlight concentration ratio 3.9 × times that of linear lenses with a much smaller receiving area. This study has explored the feasibility for R2R embossing of optical polymer fi lm, an industry-applicable and cost-effective technology for mass production of high-quality Fresnel lenses to be used in high-efficiency CPV systems.
Minimization Design of Normal Force in Synchronous Permanent Magnet Planar Motor With Halbach Array
Rui Huang,Jianpei Zhou,Gyu-Tak Kim IEEE 2008 IEEE transactions on magnetics Vol.44 No.6
<P>This paper deals with the characteristics analysis and the normal force minimization of a synchronous permanent magnet planar motor (SPMPM) with a Halbach magnet array. The characteristics such as flux density, back-EMF and thrust are evaluated and compared with experimental values. The measured values of back-EMF are in good agreement with the simulation ones, but the experimental results of thrust are much smaller than those of simulation due to the friction force generated by the normal force. The normal force is minimized by using a genetic algorithm, and it is greatly decreased from 672.83 N to 144.24 N.</P>
Huang, Rui-Ting,Jabor, Mohd Khata,Tang, Tzy-Wen,Chang, Sheng-Chun 서울대학교 교육연구소 2022 Asia Pacific Education Review Vol.23 No.1
Although there are numerous mobile learning studies, limited efforts have been devoted to investigating the moderating role of mobile technology anxiety on mobile learning outcome. Accordingly, the primary purpose of this study is not only to examine the key elements that could influence desire to take mobile learning and mobile learning continuance intention, but also to explore the moderating impact of mobile technology anxiety on mobile learning outcome. 676 college students participated in this study, and the partial least squares structural equation modeling (PLS-SEM) analysis was performed to analyze the data. The study findings have demonstrated that desire to take mobile learning, attitude toward mobile learning, and perceived usefulness are positively linked to mobile learning continuance intention. Second, it has been found that attitude, positive anticipated emotion, negative anticipated emotion, and subjective norm play a key role in determining better desire to take mobile learning, whereas perceived behavioral control has no impact on desire to take mobile learning. Additionally, it has been shown that perceived usefulness, and personal learning initiative are two critical antecedents of attitude toward mobile learning. Finally, the study findings have shown that mobile technology anxiety would moderate the relationship between attitude toward mobile learning and mobile learning continuance intention.
Rui Huang,Tingting Tang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2018 NANO Vol.13 No.11
Glutathione (GSH), the protective agent and reducing agent, has been widely used to prepare gold nanoclusters (GSH-Au NCs) with stable fluorescence properties and negative charge of the surface. Meanwhile, polyethyleneimine (PEI) was used as the modification agent to synthesize magnetic ferroferric oxide nanoparticles (Fe3O4) with fantastic dispersibility and positive charge of the surface. Based on the electrostatic adsorption force, magnetic nano-Fe3O4@GSH-Au NCs core–shell microspheres composed of magnetic Fe3O4 nanoparticles modified by PEI as the core and GSH-Au NCs as the shell were assembled. The prepared Fe3O4@GSH-Au NCs microspheres harbored a uniform size (88.6 nm), high magnetization (29.2 emu/g) and excellent fluorescence. Due to the coordination bond action between Au atom and sulfhydryl (–SH), amino (–NH2), carboxyl (–COOH) in sweat, Fe3O4@GSH-Au NCs could combine with latent fingerprints. In addition, Fe3O4@GSH-Au NCs with good fluorescence and magnetism could detect fingerprints on various objects. Significantly, the powders were not easy to suspend in the air, which avoided the damage to the health of forensic experts and the fingerprints by only powder contacting. Above all, Fe3O4@GSH-Au NCs was successfully applied to the latent fingerprint visualization, which has great potential in forensic science.
An automatic 3D CAD model errors detection method of aircraft structural part for NC machining
Huang, Bo,Xu, Changhong,Huang, Rui,Zhang, Shusheng Society for Computational Design and Engineering 2015 Journal of computational design and engineering Vol.2 No.4
Feature-based NC machining, which requires high quality of 3D CAD model, is widely used in machining aircraft structural part. However, there has been little research on how to automatically detect the CAD model errors. As a result, the user has to manually check the errors with great effort before NC programming. This paper proposes an automatic CAD model errors detection approach for aircraft structural part. First, the base faces are identified based on the reference directions corresponding to machining coordinate systems. Then, the CAD models are partitioned into multiple local regions based on the base faces. Finally, the CAD model error types are evaluated based on the heuristic rules. A prototype system based on CATIA has been developed to verify the effectiveness of the proposed approach.