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THE INFLUENCE OF SPArK PLASMA SINTErING PArAMETErS ON THE PHYSICAL PrOPErTIES OF CoCrMoNbTi Bio-HEA

UPB Scientific Bulletin, Series B: Chemistry and materials Science 2024年第3期86卷 227-236页

作者： Bololoi, Alina Elena Manea, Ciprian Alexandru Antoniac, Iulian Vasile Bololoi, robert Viorel Cojocaru, Vasile dănuţ Tălpeanu, dorinel Pătroi, delia Geambazu, Laura Elena Material Science and Engineering Faculty National University of Science and Technology POLITEHNICA Bucharest Romania National Institute for R&D in Electrical Engineering ICPE-CA Bucharest Romania

The paper presents the influence of the sintering temperature parameter on the physical properties of CoCrMoNbTi high entropy alloy intended for biomedical applications. CoCrMoNbTi HEA metallic powder preparation method was disseminated previously. The alloy was consolidated by spark plasma sintering in order to produce bulk materials which could be further processed. The produced samples were analyzed monitoring the structure, apparent density and hardness modifications. The microstructural and chemical analyses results indicated a good elemental distribution and compaction, with no contamination present. Hardness and density measurements indicated a direct proportional increase with the temperature. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Brinell Hardness

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development of Battery Management System with PCM using Neural Network Based Aging Algorithm for Electric Vehicle

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IEIE Transactions on Smart Processing and Computing 2025年第2期14卷 280-296页

作者： Yoon, Seong Jun Talluri, Teresssa Angani, Amarnathvarma Chung, Hee Tae Shin, Kyoo Jae Department of Artificial Intelligence Convergence Busan University of Foreign Studies 65 Geumsaem-ro 485 Beon-gil Geumjeong-gu Busan46234 Korea Republic of Automotive Material & Component R&D Group Korea Institute of Industrial Technology 6 7 Cheomdangwagi-ro 208beon-gil Buk-Gu Gwangju Korea Republic of

The increase in battery temperatures results in the critical risks, including explosions, therefore need of efficient thermal management is increasing. In this point of view, we proposed a novel approach to battery thermal control, employing hot soaking and cold soaking experiments for the first time to identify phase change materials (PCMs) that enhance battery safety under temperature conditions. Machine learning methods such as Llng short-term memory (LSTM) and random forest (rF) models were applied and thermal performance was investigated in lithium polymer pouch batteries integrated with PCMs for fast and accurate prediction. Experiments were conducted at normal temperature of 25◦C, hot temperature of 50◦C, and cold temperature of −10◦C. Thermal performance metrics such as maximum temperature and thermal gradient ∆T were measured during discharge of the battery. In this study we selected PCMs such as rT15, rT31, EG5, EG26, and EG28 to evaluate the performance with LSTM and rF are applied to predict temperature variations influencing thermal behavior. results indicated that EG26 and EG28 PCMs, significantly improved thermal performance under extreme conditions. The LSTM model demonstrated high predictive accuracy of 99% compared to rF model with 97%. This integrated model approach provided both high predictive accuracy and valuable insights into battery thermal performance, underscoring the importance of PCM selection to ensure battery longevity and stability across diverse environments. © 2025 Institute of Electronics Engineers of Korea. All rights reserved.

关键词： Lithium batteries

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Machine Learning-Based Predictive Modelling of Spot-Welding Process Parameters 6th

Machine Learning-Based Predictive Modelling of Spot-Welding ...

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6th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： Burande, dinesh V. Kalita, Kanak Chohan, Jasgurpeet Singh Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi India Department of Mechanical Engineering University Centre for Research and Development Chandigarh University Mohali India

ISBN: (纸本)9783031362453

This research paper presents a comparative study of machine learning (ML) algorithms for the predictive modelling of spot-welding process parameters. The focus is on predicting the nugget diameter (Nd) and nugget height (NH) using four different ML algorithms (namely, linear regression, random forest regression, adaptive boosting regression, and support vector machine regression). An experimental dataset consisting of fifty data points is used in this study. Exploratory data analysis was carried out to investigate the effect of process parameters on the response variables. Performance evaluation metrics were employed to gauge the predictive accuracy of the ML models. The results indicate that the random forest regression demonstrates superior performance in predicting both Nd and NH compared to the other algorithms. This study can serve as a foundation for further research in optimizing the spot-welding process through machine learning techniques. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Forecasting

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BOE-ziSIM: A design-technology-Manufacturing Co-optimization Platform 7

BOE-ziSIM: A Design-Technology-Manufacturing Co-optimization...

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7th International Workshop on Advanced Patterning Solutions, IWAPS 2023

作者： Liu, Nan Zhang, Zhizhao Chen, Shantao dong, Lisong Wang, Hong Technology R&D Center Beijing Zhongxiangying Technology Co. Ltd Beijing China Panel Technology Development BOE Technology Group Co. Ltd. Beijing China Institute of Microelectronics of Chinese Academy of Science Beijing China Beijing Zhongxiangying Technology Co. Ltd Beijing China

ISBN: (纸本)9798350344547

Thin-film transistors (TFT) and organic light-emitting diodes (OLEd) for display applications involve new materials, structures and processes in the design and development phase, and these elements can have a significant impact on the performance of the TFT devices. The increasing need for personalized and diversified display productions brings two problems: 1. To achieve the desired performance indicators in fabrication processes, a large number of experiments are required to continuously optimize the process parameters, which not only increases economic and time costs but also limits the development speed of new productions. 2. The display production iterations are getting faster to meet the market requirement, in other words, the time left for yield improvement becomes shorter. A design-technology-Manufacturing Co-optimization platform called BOE-ziSIM is introduced in this paper, it was developed to solve the above mentioned problems, the experiment results show that the defects analysis time is reduced from hours to minutes, and the equipment adjustment time is reduced from days to minutes. © 2023 IEEE.

关键词： Thin film transistors

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Synthesis and Performance of an Associative Anti-shear drag reducer Based on Hydrogen Bond Association of dodecyl Methacrylate

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China Petroleum Processing & Petrochemical technology 2023年第1期25卷 23-33页

作者： Lu Yong Li Chenhao Li Hao Chen Yue Xu dan Wang Yiran Meng Yeqiao Zhang Xiaolai School of Chemistry and Chemical Engineering Shandong UniversityJinan 250061China PipeChina Eastern China Crude Oil Storage and Transportation Co. Ltd.Science and Technology R&D CenterXuzhou 221008China Shandong Dongyue Polymer Material Co. Ltd.Zibo 256401China State Key Lab of Fluorinated Functional Membrane Materials Zibo 256401China

Using K2S2O8-Na2SO3 as the redox initiation system,a hydrogen-bond-association-based dodecyl methacrylate system associative anti-shear drag reducer was synthesised by standard emulsion *** reaction process was simple and gentle as well as safe and *** design was carried out using molecular dynamics simulation *** results of infrared spectroscopy,thermogravimetric analysis,differential scanning calorimetry,gel chromatography,and laser light scattering showed that the reaction polymerisation was relatively complete,the product was uniform,the molecular weight distribution was controllable,and the synthesised polymer had good *** donor lauryl methacrylate-styrene-methacrylic acid(LMA-St-MAA)and acceptor lauryl methacrylate-styrene-dimethylaminoethyl methacrylate(LMA-St-dMA)polymers had an associative intermolecular interaction force,which increased the molecular cluster size of the associative system *** complex had good shear resistance,and the test results of the tube pump shear test showed that the synthesised associative oil-soluble polymer drag reduction system exhibited better drag reduction rate performance than poly-α-olefins over repeated *** research results provide a reference plan for minimising the number of station-to-station inputs,thereby ensuring the stability of oil pipelines and reducing transportation costs.

关键词： drag reducer associative effect drag reduction rate shear resistance

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Ongoing Evolution of drAM Scaling via Third dimension -Vertically Stacked drAM -

Ongoing Evolution of DRAM Scaling via Third Dimension -Verti...

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Symposium on VLSI technology

作者： J.W. Han S.H. Park M.Y. Jeong K.S. Lee K.N. Kim H.J. Kim J.C. Shin S.M. Park S.H. Shin S.W. Park J.H. Lee S.H. Kim B.C Kim M.H. Jung I.Y. Yoon H. Kim S.U. Jang K.J. Park Y.K. Kim I.G. Kim J.H Oh S.Y. Han B.S. Kim B.J. Kuh J.M. Park DRAM Technology Development Hwaseong Korea Next Generation Process Development Samsung R&D Center Hwaseong Korea

For the past decades, the density of drAM has been remarkably increased by making access transistors and capacitors smaller in size per unit area. However, shrinking devices far beyond the 10 nm process node increasingly poses process and reliability challenges. As Flash technology made a pivotal and successful innovation via 3d NANd, drAM technology may also adopt vertical stacking memory cells. Vertically stacked drAM (VS-drAM) continues to increase bit density on a die by increasing the number of layers along with reducing the size of the transistor. In this paper, the opportunities and challenges of VS-drAM are discussed.

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research on the Security Verification and Evaluation System of distribution Network dispatching Instructions in Telephone Mode 3

Research on the Security Verification and Evaluation System ...

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3rd International Conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Zhu, Chaoyue Huang, di Liu, Hongwei Chen, Panxia Luo, Shaojie Zheng, Weiyan Zhejiang Dayou Industrial Co. Ltd. Hangzhou Science and Technology Development Branch R&d Department Hangzhou China Business Service Center State Grid Hangzhou Power Supply Company Hangzhou China

ISBN: (纸本)9798350318180

Nowadays, the issue of command security in the distribution network dispatching telephone command mode is becoming increasingly prominent, and relevant personnel are paying more and more attention to the information security and accuracy when transmitting dispatching instructions to the distribution network, to prevent risks such as tampering, forgery, and theft of dispatching instruction information. The article first briefly analyzes the problems that exist in the telephone command mode during scheduling;Secondly, in response to the data security issues related to the issuance of instructions in the distribution network, based on cloud storage technology, the S-box is improved in the group encryption algorithm AES, and a chaotic system is introduced for data sequence encryption. The improved AES algorithm is combined with the chaotic system to achieve confidentiality of both parties' codes and information transmission;Simultaneously introducing upper entropy, using entropy to randomly verify the completeness and accuracy of numbers or information;Finally, the effectiveness of this method was theoretically proven, achieving efficient communication of scheduling information and ensuring the confidentiality and accuracy of received scheduling instructions. © 2023 IEEE.

关键词： cloud storage distribution network security verification and evaluation

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New understanding of non-uniform propagation mechanism of horizontal fractures in shallow high-permeability reservoirs and research on main controlling factors 58

New understanding of non-uniform propagation mechanism of ho...

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58th US rock Mechanics / Geomechanics Symposium 2024, ArMA 2024

作者： Qiao, Yan Zhang, Yang Shang, Litao Chen, Xidi Chen, Zhao Lei, Fan Bai, Jie CNPC Engineering Technology R&D Company Limited BeiJing China PetroChina Daqing Oilfield Company Daqing China PetroChina Zhejiang Oilfield Company Hangzhou China PetroChina Tuha Oilfield Company HaMi China Research Institute of Petroleum Exploration & Development BeiJing China

ISBN: (纸本)9798331305086

The Changyuan block of daqing oilfield in China has a shallow reservoir burial depth (100md), is in the late stage of development, and has a high water content (>95%).Hydraulic fracturing produced non-uniformly propagating horizontal *** present, the mechanism and controlling factors of non-uniform propagation of horizontal fractures are not well *** this paper, based on the geological numerical model of Changyuan block, the non-uniform propagation of horizontal fracture is *** main conclusions are as follows: the horizontal fracture will expand in the direction of large fracture initiation stress difference (minimum horizontal principal stress - vertical stress);the main controlling factors for the non-uniform propagation of horizontal fracture are construction net pressure, temporary plugging distance, fracture initiation stress difference and its non-uniformity;with the increase of the fracture initiation stress difference non-uniformity, horizontal fractures increased flow conductivity, and the cumulative oil production volume will be *** micro-seismic monitoring results show that the non-uniform propagation law of horizontal fracture is in line with the actual *** is of great significance for the redevelopment of the shallow layer of the old oilfield. Copyright 2024 ArMA, American rock Mechanics Association.

关键词： Horizontal wells

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Computing Power Scheduling Method Based on Long-Term Workload Prediction for Computing Power Platform 6

Computing Power Scheduling Method Based on Long-Term Workloa...

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6th International Conference on Communications, Information System and Computer Engineering, CISCE 2024

作者： Yang, Wangying Zhu, Guoping Chen, Qin Liu, Nianchao School of Computer Science Beijing University of Posts and Telecommunications Beijing China China Electronics Cloud Computing Technology Co. Ltd. Cloud Product R&d Department Wuhan China S&t Development China Electronics Corporation Shenzhen China

ISBN: (纸本)9798350353174

Users' requests for the computing power often exhibit suddenness and unpredictability, which creates challenges for workload scheduling of computing power platforms. Traditional scheduling methods struggle to adapt to such situations as they typically schedule based on real-time load conditions, ignoring long-term trends in load variations. To address these limitations, we propose a computing power scheduling method based on long-term workload prediction. First, we leverage a tree structure to aggregate temporal-spatial information from multi-variate operating time-series data, effectively describing the characteristics of workload on computing power platform. Building upon Informer, we employ residual mechanisms and dilated causal convolutions to extract deep features. Additionally, we integrate Wasserstein Generative Adversarial Network (WGAN) with Informer to accurately forecast future changes in workload for computing platforms, and introduce a novel training algorithm to enhance efficiency. We validate our method through experiments using real-world workload datasets, demonstrating the significant reduction in Mean Absolute Error (MAE) compared to LSTM. Furthermore, our model exhibits sensitivity to the length of encoder input sequences, indicating improved performance with longer series inputs. © 2024 IEEE.

关键词： Computing power

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Extreme Ultraviolet Scatterometry for Characterizing Nanometer Scale Features in a damascene Sample

Extreme Ultraviolet Scatterometry for Characterizing Nanomet...

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2024 Frontiers in Optics, FiO 2024

作者： Klein, C. Jenkins, N. Shao, Y. Li, Y. Park, S. Kim, W. Kapteyn, H. Murnane, M. Department of Physics JILA STROBE NSF Science & Technology Center University of Colorado NIST BoulderCO United States Core Technology R&D Team Mechatronics Research Samsung Electronics Co. Ltd. Hwasung Korea Republic of Advanced Process Development Team 4 Semiconductor R&D Center Samsung Electronics Co. Ltd. Hwasung Korea Republic of Kapteyn-Murnane Laboratories Inc. 4775 Walnut Street #102 BoulderCO80301 United States

We characterize nanoscale out-of-plane features on an industrially relevant semiconductor sample using a coherent extreme ultraviolet high harmonic generation source at 29nm. The advantages of using 13.5nm light are a... 详细信息

关键词： Extreme ultraviolet lithography

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