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77th Annual Technical Conference of the Society of Plastics Engineers, ANTEC 2019

作者： Huang, Ming-Shyan Nian, Shih-Chih Chen, Jian-Yu Dept. of Mechanical and Automation Engineering National Kaohsiung University of Science and Technology Taiwan Dept. of Power Mechanical Engineering National Taitung College Taiwan Bachelor Program in Precision System Design Feng Chia University Taiwan

Filling-to-packing switchover (also called as V/P switchover) is critical for assuring injection molding quality. An improper filling-to-packing switchover setting may result in various defects of injection-molded parts, such as excessive residual stress, flash, short shot, and warpage, etc. To enhance consistent molding quality, recent V/P switchover approach applies cavity pressure profiles requiring sensors embedded in mold cavities, which is invasive to mold cavities and even expensive. Instead of using cavity pressure sensors, this study thereby proposes a novel approach of identifying ideal V/P switchover timing using a tie-bar elongation profile. In this investigation, a dumbbell testing specimen mold is applied to experimentally verify the feasibility of the proposed method. The results showthat the mold filling and packing stages can be observed along the tie-bar elongation profile detected by mounting strain gauges on tie bars. Moreover, the varying process parameter settings including injection speed, filling-to-packing switchover point, and holding pressure, can be reflected in these profiles. By extracting their characteristics, the decision of filling-to-packing switchover is proved to be realistic. © 2019 Society of Plastics Engineers. All rights reserved.

关键词： Filling

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Rotor load analysis method for twin Screw compressors with considering gaseous pressure and working temperature 14

Rotor load analysis method for twin Screw compressors with c...

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14th International Federation for the Promotion of Mechanism and Machine Science World Congress, IFToMM 2015

作者： Hsu, Ruei-Hung Wu, Yu-Ren Wu, Wei-Te Tran, Van-The Bachelor's Program in Precision System Design Feng Chia University Taichung Taiwan Department of Mechanical Engineering National Central University Taoyuan Taiwan Department of Biomechatronics Engineering National Pingtung University of Science and Technology Pingtung Taiwan

ISBN: (纸本)9789860460988

Screw rotors of a twin screw compressor often deform and interfere due to the cyclic gas pressure and working temperature, which lead to noise, vibration and abrasion of the screw rotors. Therefore, this paper proposed a simplified CAE (Computer Aided engineering) method instead of the past massive and complex CFD (Computational Fluid Dynamics) method to simulate and estimate reasonably the screw rotor load and deformation with considering the gas pressure and working temperature applied on its operating process. The analysis results could provide the possible maximum rotor deformation and cyclic load acting on the rotors for design consideration.

关键词： Deformation

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Modeling the Percentage of NEET in Indonesia with Spatial Cauchy Regression through the Bayesian Analysis Approach

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IAENG International Journal of Applied Mathematics 2024年第7期54卷 1288-1295页

作者： Rantini, Dwi Fakhruzzaman, Muhammad Noor Ningrum, Ratih Ardiati Othman, Fazidah Choir, Achmad Syahrul Ramadan, Arip Alya, Najma Attaqiya Putri, Elfira Rahma Pratama, Muhammad Alfian Engineering Department Data Science Technology Study Program Faculty of Advanced Technology and Multidiscipline Universitas Airlangga Indonesia Engineering Department Data Science Technology Study Program Faculty of Advanced Technology andMultidiscipline Universitas Airlangga Indonesia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Malaysia Statistical Computing StudyProgram Politeknik Statistika STIS Indonesia Information System Study Program School of Industrial and System Engineering Telkom University Indonesia

Indonesia has entered a period of demographic bonus. Human resources must be optimized. The number of children who do not in employment, education or training (NEET) in each province needs attention. Several factors that could contribute to the decline in the NEET percentage are literacy rates and the number of adolescents with computer skills. Increasing these two factors is believed to be able to reduce the percentage of NEET in every province in Indonesia. To find out the relationship between these two factors and how much influence they have on the percentage of NEET, this research is modeled by Cauchy regression and includes spatial effects. The results of the analysis show that the best model is when the spatial effect is modeled by Fernandez Steel Skew Normal conditionally autoregressive (FSSN CAR). This result is seen from the smallest value of the Watanabe Akaike Information Criterion (WAIC) in this model, which is 190.5. The parameter estimated shows that the higher the literacy rate and the number of adolescents with computer skills, the lower the percentage of NEET in each province in Indonesia. The results of this research can be useful for the Indonesian government to increase the number of educational facilities related to these two factors. © (2024), (International Association of Engineers). All rights reserved.

关键词： Bayesian CAR Cauchy Education NEET

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Human Following Robot Based on Object Detection for Aerospace Application 1

Human Following Robot Based on Object Detection for Aerospac...

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1st International Conference of Adisutjipto on Aerospace Electrical engineering and Informatics, ICAAEEI 2024

作者： Sumari, Arwin Datumava Wahvudi Aryandika, Ahnaf Bagus Purnami, Ndaru Atmi Dermawan, Denny Syamsiana, Ika Noer State Polytechnic of Malang Cognitive Artificial Intelligence Research Group Department of Electrical Engineering Malang Indonesia Adisutjipto Institute of Aerospace Technology Electrical Engineering Study Program Yogyakarta Indonesia Adisutjipto Institute of Aerospace Technology Aerospace Navigation Instrumentation Control Automation and Robotics System Research Group Electrical Engineering Study Program Yogyakarta Indonesia Adisutjipto Institute of Aerospace Technology Electrical Engineering Study Program Aerosp. Digit. Syst. Microprocessor Microcontroller and Programmable Logic Devices Research Group Yogyakarta Indonesia

ISBN: (纸本)9798331507930

In this research, the Human Following Robot (HFR) prototype has been designed and implemented using YOLO v3-Tiny and Tensor Flow Lite on Raspberry Pi hardware named Rewang. The HFR Rewang is designed to assist aircraft technicians by bringing maintenance tool kits to aircraft shelters. Rewang's movement is based on a camera as a vision sensor following the movement of human entities. Image input is processed by YOLO v3-Tiny through the determination of the bounding box, the calculation of Euclidean Distance, and the determination of the pixel value of the camera as the basis of Rewang's movement which is regulated by an L298N driver motor that controls two Direct Current (DC) motors for the left and right wheels. The test results show that Rewang can move at an average speed of 0.18 m/s at 2 m with a travel time of 11 seconds with a light intensity of more than 250 lux. The minimum and maximum distance of object detection is as far as 120 cm and 400 cm, with an object detection accuracy of 95.8%. Rewang allows the HFR to have a larger carrying capacity to bring more complete aircraft maintenance tools and is prospective for other aerospace and general applications. © 2024 IEEE.

关键词： Travel time

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Unconventional assemblies of bisacylhydrazones:The role of water for circularly polarized luminescence

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Aggregate 2022年第5期3卷 185-193页

作者： Hye Jin Cho Dong Yeun Jeong Hwihyun Moon Taewoo Kim You Kyoung Chung Yeongdong Lee Zonghoon Lee Joonsuk Huh Youngmin You Changsik Song Department of Chemistry Sungkyunkwan UniversitySuwonGyeonggi 16419Republic of Korea Division of Chemical Engineering and Materials Science Graduate Program in System Health Science and EngineeringEwha Womans UniversitySeoul 03760Republic of Korea Center for Multidimensional Carbon Materials Institute for Basic Science(IBS)Department of Materials Science and EngineeringUlsan National Institute of Science and Technology(UNIST)Ulsan 44919Republic of Korea

Understanding the precise molecular arrangement of chiral supramolecular polymers is essential not only to comprehend complex superstructures like proteins and DNA but also for the development of next-generation optoelectronic materials,including materials displaying high-performance circularly polarized luminescence(CPL).Herein,we report the first chiral supramolecular polymer systems based on hydrazone–pyridinium conjugates comprising alkyl chains of different lengths,which afforded control of the apparent supramolecular *** supramolecular chirality is governed basically by the remote chiral centers of alkyl chains,helicity inversion was achieved by controlling the conditions under which the hydrazone building blocks underwent aggregation(i.e.,solvent compositions or temperature).More importantly,the addition of water to the system led to aggregationinduced hydrazone deprotonation,which resulted in a completely different selfassembly *** water molecules played an essential role,forming the assembly’s channel-like backbone,around which hydrazone molecules gathered as a result of hydrogen bonding *** co-assembly of an achiral hydrazone luminophore with the given supramolecular polymer system allowed the fabrication of a novel CPL-active hydrazone-based material exhibiting a high maximum value for the photoluminescence dissymmetry factor of -2.6×10^(-2).

关键词： circularly polarized luminescence(CPL) helicity control hydrazone self-assembly structural water supramolecular polymerization

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Coprecipitation Strategy for Halide-Based Solid-State Electrolytes and Atmospheric-Dependent In Situ Analysis

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ACS Applied Materials and Interfaces 2024年第21期16卷 27394-27399页

作者： Bilo, Josanelle Angela V. Chang, Chung-Kai Chuang, Yu-Chun Fang, Mu-Huai Research Center for Applied Sciences Academia Sinica Taipei11529 Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu30013 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica and National Tsinghua University Hsinchu30013 Taiwan Department of Science and Technology Philippine Textile Research Institute Taguig City1631 Philippines National Synchrotron Radiation Research Center Hsinchu300 Taiwan

In the continuous pursuit of an energy-efficient alternative to the energy-intensive mechanochemical process, we developed a coprecipitation strategy for synthesizing halide-based solid-state electrolytes that warrant both structural control and commercial scalability. In this study, we propose a new coprecipitation approach to synthesized Li3InCl6, exhibiting both structural and electrochemical performance stability, with a high ionic conductivity of 1.42 × 10-3 S cm-1, comparable to that of traditionally prepared counterparts. Through the in situ synchrotron X-ray diffraction technique, we unveil the stability mechanisms and rapid chemical reactions of Li3InCl6 under dry Ar, dry O2, and high-humidity atmosphere, which were not previously reported. Furthermore, the fast reversibility capability of moisture-exposed Li3InCl6 was tracked under vacuum, revealing the optimal recovery conditions at low temperatures (150-200 °C). This work addresses the critical challenges in structural engineering and sustainable mass production and provides insights into chemical reactions under real-world conditions. © 2024 The Authors. Published by American Chemical Society.

关键词： Coprecipitation

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Angle and polarization independent plasmonic infrared band-stop filter with metallic disk on SiO2

Angle and polarization independent plasmonic infrared band-s...

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16th Opto-Electronics and Communications Conference, OECC 2011

作者： Abbas, Mohammed Nadhim Cheng, Cheng-Wen Chang, Yia-Chung Shih, Min-Hsiung Research Center for Applied Sciences Academia Sinica Taipei 11529 Taiwan Institute of Physics and Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei 115 Taiwan Department of Engineering and System Science NTHU Hsinchu 300 Taiwan

ISBN: (纸本)9781612842882

We demonstrated Ag/SiO2 metallic disk structure can be applied as an efficient narrow stop band filter in the IR region. The absorption spectra of such structure are investigated both theoretically and experimentally. The metallic disk exhibits only one significant localized surface plasmon polariton mode for both TM and TE polarizations simultaneously which can give an ultrahigh immunity to incident angles and polarization direction. © 2011 National Sun Yat-Sen Univ.

关键词： Silica

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Effect of injection molding conditions on mold adhesion force during thermoplastic polyurethane injection molding

Effect of injection molding conditions on mold adhesion forc...

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2018 Society of Plastics Engineers Annual Technical Conference, ANTEC 2018

作者： Chen, Jian-Yu Huang, Ming-Shyan Nian, Shih-Chih Bachelor Program of Precision System Design Feng Chia University Taiwan Dept. of Mechanical and Automation Engineering National Kaohsiung First University of Science and Technology Taiwan Dept. of Power Mechanical Engineering National Taitung College Taiwan

Injection molding is one of the most common methods for the mass production of plastic products with complex geometries. However, while injection molding is a highly convenient and cost-effective method, some problems still remain, including warpage, quality variations, surface defects, insufficient physical properties of the finished parts, and so on. During the ejection stage, one of the most serious problems is that of sticking at the interface between the molded part and the cavity surface. The adhesion force inhibits the release of the molded part from the mold surface, and can lead to serious defects, such as distortion and cracking. The adhesion phenomenon is particularly common in the injection molding of thermoplastic polyurethane (TPU). Numerous factors affect the intensity of the mold adhesion force, including the injection molding conditions, the surface morphology, the surface modification conditions, and the rheological properties of the molten polymer. To clarify the effect of the molding conditions on the mold adhesion level, the present study uses a tensile mode mold adhesion tester to measure the adhesion force for various values of the mold temperature, melt temperature and injection speed. In addition, the surface free energy (SFE) of the molded parts is measured in order to better understand the correlation between the wettability and the processing conditions. © 2018 Society of Plastics Engineers. All rights reserved.

关键词： Injection molding

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Optimization of Node Reduction Using BRKGA for GNN-Based Traffic Speed Forecasting 13

Optimization of Node Reduction Using BRKGA for GNN-Based Tra...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Inokuchi, Yuto González, Pedro Henrique Mendonça, Israel Aritsugi, Masayoshi Graduate School of Science and Technology Kumamoto University Kumamoto Japan Federal University of Rio de Janeiro System Engineering and Computer Science Program Rio de Janeiro Brazil Kumamoto University Faculty of Advanced Science and Technology Kumamoto Japan

ISBN: (纸本)9798350308365

While Spatio-Temporal Graph Convolutional Networks (STGCNs) are an effective method for traffic speed fore-casting, their training and inference tend to be time-consuming. In this paper, we aim to refine these networks by strategically reducing their number of nodes, thereby boosting computational efficiency. The nodes in these graphs represent data observed for road segments, and by analyzing the interconnections and layout of the graph, we can identify nodes with minimal contribution to overall performance. Removing these nodes can potentially decrease computation time while maintaining the prediction accuracy. We employ the Biased Random-Key Genetic Algorithm (BRKGA) to identify a good set of nodes for removal, based on a predefined percentage reduction of the original graph size (e.g., retaining 95 % of the original graph). We evaluate different graph size configurations, ranging from 95 % to 70 % node retention, to determine the least impactful node set performance. Our experiments on three real-world datasets reveal that reducing nodes can decrease computation time by up to 29%, and as a byproduct of removing noise, even improve the prediction accuracy. © 2024 IEEE.

关键词： Genetic algorithms

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Efficient Node Reduction Heuristic for GNN-Based Traffic Speed Forecasting 11

Efficient Node Reduction Heuristic for GNN-Based Traffic Spe...

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11th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024

作者： Inokuchi, Yuto Gonzalez, Pedro Henrique Aritsugi, Masayoshi Mendonca, Israel Kumamoto University Graduate School of Science and Technology Kumamoto Japan Federal University of Rio de Janeiro System Engineering and Computer Science Program Rio de Janeiro Brazil Kumamoto University Faculty of Advanced Science and Technology Kumamoto Japan

ISBN: (纸本)9798350367300

In this paper, we aim to reduce the number of nodes from Graph Neural Networks (GNNs), thereby simplifying models and reducing computational costs. GNNs are highly effective for various tasks, such as prediction, classification, and clustering, due to their ability to learn node and edge attributes and relationships, and they have been utilized for intelligent transportation systems recently by converting sensor networks into graph structures. Deep spatio-temporal neural networks, including Spatio-Temporal Graph Convolutional Networks (STGCNs), capture spatial and temporal dependencies, making them suitable for traffic speed forecasting, traffic demand prediction, and travel time estimation. Despite their success, GNNs face challenges in industrial applications due to significant memory usage and time consumption. In this paper, we propose a new approach to node reduction that outperforms existing methods in computational efficiency. Our experiments on two real-world traffic datasets demonstrate that using the heuristic and edge information to reduce nodes can cut computation time of optimization up to 95% and, by eliminating noise, can even enhance prediction accuracy. © 2024 IEEE.

关键词： Graph neural networks

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