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Annual Conference of Industrial Electronics Society

作者： Hyeonjun Yun Hyeseon Kwon Sangsu Yeh Minsu Lee Jonghwa Kim Yunha Kim Seungwoo Cha Mingu Kang Jooyeop Nam Mechatronics R&D Center Samsung Electronics Hwaseong-si Republic of Korea Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea

As the complexity of semiconductor manufacturing processes increases, various temperature control conditions are required to ensure the etching of various materials is optimized. Fast and precise temperature control is a key factor in the semiconductor production throughput and yield, making the development of a step chiller essential. This chiller mixes hot and cold coolants from two sources, enabling faster cooling/heating than can be achieved from a single source. In this paper, we propose a system identification and control strategy that can maximize the performance of step chillers for semiconductor production equipment, focusing on both speed and accuracy aspects. An approach of model reduction is utilized to transform the highly nonlinear time-varying delay system of the chiller into a linear time-invariant delay system. We then outline a model-based feedforward/feedback controller based on delay system control theory, and conclude with an experimental result demonstrating the effectiveness of the proposed control algorithm.

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Parametric Optimization and Mathematical Analysis of dual Halide Lead Free Perovskite Solar Cell

Parametric Optimization and Mathematical Analysis of Dual Ha...

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International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)

作者： Sakshi Sharma Kaushal Kumar Baseem Khan rupendra Kumar Pachauri Ankur Kumar Gupta School of Advanced Engineering UPES Dehradun India Department of Electrical and Computer Engineering Hawassa University Hawassa Ethiopia Miyan Research Institute of Technology International University if Business Agriculture and Technology Dhaka Bangladesh R&D Department IIMT University Meerut India

ISBN: (数字)9798350364699

ISBN: (纸本)9798350364705

The scientific community has recently taken an interest in perovskite solar cells, often known as PSCs. dual halide PSC has the best efficiency reported in the literature at 20.9%. The purpose of this work is to improve a lead-free dual halide photovoltaic (PSC) by modifying the material of the hole transport layer (HTL) and the electron transport layer (ETL), as well as regulating the thickness of the absorber layer. In order to evaluate the device, the following metrics are taken into consideration: fill factor (FF), power conversion efficiency (PCE), open circuit voltage (VOC), and short circuit current density (JSC). With optimization, the gadget can reach an efficiency level of 24.03%. Further investigation into a tandem or dual structure method may be possible with this work.

关键词： Performance evaluation Sensitivity Photovoltaic cells Short-circuit currents Stability criteria Lead Perovskites Topology Solar panels Optimization

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AC breakdown strength and EL inception field of TiO2/epoxy nanocomposites having different particle dispersion

AC breakdown strength and EL inception field of TiO2/epoxy n...

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23rd International Symposium on High Voltage Engineering (ISH 2023)

作者： M. Hirai M. Kurimoto K. Tohyama T. Sawada S. Yoshida T. Umemoto H. Muto Department of Electrical Engineering Nagoya University Nagoya Japan National Institute of Technology Numazu College Numazu Japan Advanced Technology R&D Center Mitsubishi Electric Corporation Amagasaki Japan

ISBN: (数字)9781839539923

We have revealed that AC breakdown strength of TiO 2 /epoxy nanocomposites having agglomerate sizes smaller than 0.5 μm is higher than that of the unfilled epoxy. This paper investigates AC breakdown strength and electroluminescence (EL) inception field of TiO 2 /epoxy nanocomposites having different particle dispersion as a basic study to clarify the mechanism of enhancing the breakdown strength. The particle dispersion of the TiO 2 /epoxy nanocomposites was controlled by using centrifugation. We prepared NC0H samples containing agglomerates and NC3H samples not containing the agglomerates larger than 0.05 μm. Compared to the unfilled epoxy, both the EL inception field and AC breakdown strength of NC3H were higher, while the EL inception field and AC breakdown strength of NC0H was lower.

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Cloud-Powered Neural Networks for Sustainable Fishing Practices and Stock Management System 4

Cloud-Powered Neural Networks for Sustainable Fishing Practi...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Suresh, M. Xavier Prathik, A. Arun, V. Venugopal, r. Ganeshbabu, T.r. Muthulekshmi, M. School of Advanced Sciences and Languages Vit Bhopal University Department of Physics Madhya Pradesh Bhopal India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India School of Computing Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Kattankulathur Tamil Nadu Chennai India Department of Mathematics Tamil Nadu Salem India Department of Electronics and Communication Tamil Nadu Namakkal India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331540364

Sustainable fishing methods and efficient stock management are crucial considering growing environmental concerns;fishing practices and effective stock management are imperative. This research presents a novel approach that uses neural networks (NN) hosted in the cloud to transform sustainable fishing and stock management. This method trains NN to make predictions by combining several data sources, such as satellite images, weather patterns, and catch records. These models can reliably predict fish stocks' dynamics, giving stakeholders the information needed to make informed decisions. Crucial for real-time processing and storage of massive information is the scalability and flexibility offered by cloud infrastructure. This framework provides the appropriate usage of resources while simultaneously optimizing fishing tactics, which helps protect marine ecosystems. It demonstrates that method promotes sustainable fishing via thorough case studies and simulations. It provides a flexible and scalable solution to the problems confronting marine biodiversity and the fishing industry by combining advanced technology with ecological principles. To ensure a more egalitarian and sustainable future for fisheries management on a global scale, method is a giant leap forward in balancing commercial interests with environmental protection. Integrating data, ensuring sensors are accurate, managing huge datasets, managing regulatory compliance, and encouraging stakeholders to work together for sustainable practices are all challenges. © 2024 IEEE.

关键词： Fisheries

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Machine Learning Optimal Ordering in Global routing Problems in Semiconductors

arXiv

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arXiv 2024年

作者： Choi, Heejin Lee, Minji Lee, Chang Hyeong Yang, Jaeho Seong, rak-Kyeong Department of Mathematical Sciences Ulsan National Institute of Science and Technology Ulsan Korea Republic of Samsung SDS AI Advanced Research Lab Samsung R&D Campus Seocho-Gu Seoul Korea Republic of

In this work, we propose a new method for ordering nets during the process of layer assignment in global routing problems. The global routing problems that we focus on in this work are based on routing problems that occur in the design of substrates in multilayered semiconductor packages. The proposed new method is based on machine learning techniques and we show that the proposed method supersedes conventional net ordering techniques based on heuristic score functions. We perform global routing experiments in multilayered semiconductor package environments in order to illustrate that the routing order based on our new proposed technique outperforms previous methods based on heuristics. Our approach of using machine learning for global routing targets specifically the net ordering step which we show in this work can be significantly improved by deep learning. © 2024, CC BY.

关键词： Adversarial machine learning

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An investigation of the microstructural effects on the mechanical and electrochemical properties of a friction stir processed equiatomic CrMnFeCoNi high entropy alloy

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Journal of Materials Science & technology 2021年第28期87卷 60-73页

作者： Sam Yaw Anaman Solomon Ansah Hoon-Hwe Cho Min-Gu Jo Jin-Yoo Suh Minjung Kang Jong-Sook Lee Sung-Tae Hong Heung Nam Han Department of Materials Science and Engineering Hanbat National University125 Dongseodae-roYuseong-GuDaejeonRepublic of Korea Center for Energy Materials Research Clean Energy InstituteKorea Institute of Science and TechnologySeoul02792Republic of Korea Department of Materials Science and Engineering&Research Institute of Advanced Materials Seoul National University1Gwanak-roGwanak-guSeoul08826Republic of Korea Advanced Functional Technology R&D Department Korea Institute of Industrial TechnologyIncheon21999Republic of Korea School of Materials Science and Engineering Chonnam National UniversityGwangju61186Republic of Korea School of Mechanical Engineering University of UlsanUlsan680-749Republic of Korea

The electrochemical properties of a friction stir processed(FSPed)equiatomic CrMnFeCoNi high-entropy alloy(HEA)was investigated in an aerated 0.5 M Na_(2)SO_(4) electrolyte solution at room *** microstructural analysis reveals a highly refined stir zone(SZ)with an average grain size that decreases from the top region of the SZ to the bottom region of the SZ(also known as shear-processed zone;SPZ).However,the region below the SPZ,(*** the plunge depth)experienced an increase in average grain size and dislocation densities compared to the other *** is no secondary phase observed in the FSPed region,however,the microstructural evolution in the FSPed region affects the electrochemical behavior of the ***_(2)O_(3) passive layer was observed to form on the FSPed HEA,leading to excellent corrosion properties from the polarization corrosion *** refinement in the SZ enhances the rapid formation of the passive layer,thus,leading to better corrosion properties in the front surface of the FSPed *** localized corrosion behavior of the FSPed HEA was predicted to be caused by the micro-galvanic nature of the HEA,which leads to an increase in polarization at the anodic sites(pits).A numerical model was established using the corrosion parameters from the experiment to simulate the localized corrosion behavior on the surface of the FSPed HEA in a neutral *** predicted initial pitting potential and corresponding current density agree well with the experimental *** model is also capable of tracking the dissolution of the pits over longer periods.

关键词： High entropy alloys Friction stir processing Grain refinement Passive film Pitting Simulation

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Machine parameters of flux-modulating hybrid field motors

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IEEJ Transactions on Industry Applications 2021年第5期141卷 431-437页

作者： Hongo, Kazuki Fukami, Tadashi Koyama, Masato Mitsuda, Hiroshi Ito, Kazumasa Department of Electrical and Electronic Engineering College of Engineering Kanazawa Institute of Technology 7-1 Ogigaoka Nonoichi921-8501 Japan Advanced Technology R&D Center Mitsubishi Electric Corp. 8-1-1 Tsukaguchi-Honmachi Amagasaki661-8661 Japan

In this study, we investigated the effect of the relative position of two stators, with relative angle α, on the machine parameters of flux-modulating hybrid field motors (FHMs). The FHMs are a new type of axial gap motors in which one rotor incorporating iron pieces is sandwiched between two stators, the armature, and the field poles. To consider the magnetic saturation and d-q axis cross-coupling, the machine parameters were calculated using a self-inductance model with current dependencies. From the results of this investigation, we observed the following: 1) The d-axis flux linkage due to the field poles was the highest when the value of α was maximized. 2) The α has an insignificant effect on the d- and q-axis self-inductances. These findings are useful for future designs of FHMs and their control systems. © 2021 The Institute of Electrical Engineers of Japan.

关键词： Synchronous motors

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Separation detection of Saccharides in Whole Blood Using an Electrodynamic Microfluidic Channel Sensor with Auco dendrite-Anchored Conductive Polymer

SSRN

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SSrN 2023年

作者： Shim, Yoon-Bo Hossain, Mozammal M.d. Kim, Kwang Bok Park, deog-Su Department of Chemistry and Chemistry Institute for Functional Materials Pusan National University Busan46241 Korea Republic of Digital Health Care R&D department Korea Institute of Industrial Technology Cheonan31056 Korea Republic of

A simple method for separation detection of saccharides in whole blood was developed using an electrodynamic microfluidic channel coupled with an external catalytic sensor. The device demonstrated that saccharides and isomers were precisely separated according to the molecular weight and the dipole moment of targets by the small AC potential applied symmetrically on the channel walls. To attain selective and sensitive saccharide sensor, different types of nanostructured catalysts of Au, AuZn, AuCu, and AuNi were synthesized and examined. Among them, AuCo dendrite revealed the best sensor performance, and it was stabilized through anchoring on a polyterthiophene benzoate (pTBA) layer formed on the screen-printed electrode by a potential cycling method. The analytical variables affecting the separation detection were investigated in terms of temperature, pH, AC frequency, AC amplitude, and fluid flow rate. The calibration plots for a solution containing eight standard saccharides display the linear ranges between 0.1×10-3 and 9.0 mM, with the detection limits ranged from 6.6×10-5 ± 1.9×10-6 to 1.6 ×10-4 ± 6.1×10-6 mM. The interference effects and the method reliability were assessed by the determination of thirteen saccharides in human blood sample, where the average glucose concentration was found to be 4.87 ± 0.48 mM, which was consistent with that obtained with a commercial glucometer at 95% confidence, and all the other saccharides were ranged from 1.4 ×10-3 to 6.8 ×10-5 mM. © 2023, The Authors. All rights reserved.

关键词： Binary alloys

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Performance Prediction Process of Outer rotor PMSM Through 3-d Flux Coefficient Using Equivalent 2-d FEA

Performance Prediction Process of Outer Rotor PMSM Through 3...

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IEEE Conference on Electromagnetic Field Computation

作者： Moo-Hyun Sung Kyoung-Soo Cha Young-Hoon Jung Jae-Han Sim Soon-O Kwon Myung-Seop Lim Department of Automotive Engineering(Automotive-Computer convergence) Hanyang University Seoul Republic of Korea Advanced Mechatronics R&D Group Korea Institute of Industrial Technology Daegu Republic of Korea Department of Automotive Engineering Yeungnam University Gyeongsan Republic of Korea Power Electronics Lab. H&A R&D Center LG Electronics Seoul Republic of Korea

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

In this article, we propose an equivalent 2-d finite element analysis (FEA) process considering the 3-d flux of an outer rotor permanent magnet synchronous motor (PMSM). In motor, 3-d flux such as axial leakage flux (ALF) and overhang fringing flux (OFF) are influenced based on design variables. 3-d FEA is required to consider the components of 3-d flux. However, 3-d FEA is inefficient to use during the design process because of time-consuming. Therefore, we propose an equivalent FEA that considers 3-d flux. First, the effects of ALF and OFF according to design variables such as rotor inner and outer diameter, stack length, and overhang length. Second, the 3-d flux is converted into coefficient. Finally, it is applied to 2-d FEA. Using the proposed process, motor performance considering 3-d flux can be quickly predicted. The proposed performance prediction process is verified through simulation and experiment.

关键词： rotors Permanent magnet motors Finite element analysis Electromagnetic fields

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Study on tribological characteristics of Bio-Lubricant formed from Brassica napus oil

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Materials Today: Proceedings 2022年 62卷 1544-1549页

作者： Balambica, V. Baskar, S. Padmanabhan, S. Lal rinawa, Moti Borkar, dilip S. Sharma, Abhishek ruban, M. Department of Mechatronics Engineering Bharath Institute of Science and Technology Tamil Nadu Chennai600073 India Department of Automobile Engineering Vels Institute of Science Technology & Advanced Studies Chennai600117 India School of Mechanical and Construction Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai600062 India Department of Mechanical Engineering Government Engineering College Rajasthan Jhalawar326023 India Department of Mechanical Engineering Manoharbhai Patel Institute of Engineering and Technology Shahpur Maharashtra Bhandara441906 India Department of Mechanical Engineering Manipal University Jaipur Rajasthan Jaipur303007 India

Crude oil price is increasing day by day and the same time the universe's crude oil treasury is also reducing. The extensive use of crude oil derived products affects severely the environment worldwide. The replacement of conventional lubricating oil with vegetable oils-based bio-lubricants would be a promising option. Bio-related compounds are potential alternative lubricants because of their poor toxicity, fair lubrication, high flash point, improved machine life, good utilization, good friction coefficients, clear characteristic properties of multi-grade goods, lower rate of evaporation, and low environmental pollution which secured the environment from pollution. Therefore, green commodities like Brassica napus oil were introduced and their application investigated. It is essential to concentrate on renewable oils as lubricants to better understand the environmental and risk issues surrounding lubricants. This study is primarily concerned with assessing Brassica napus oil in accordance with the ASTM standard and proposing a 10% blend in order to maximize the lubricating properties of the oil. © 2022

关键词： ASTM standards

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