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SSRN 2025年

作者： Cheng, Lijun Shi, Jianhua Yao, Bingjing Peng, Yiyun Li, Wenhui Xin, Shun Gao, Hua Ma, Shaohua Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment Tianjin University of Science and Technology Tianjin300222 China Tianjin International Joint Research and Development Center of Low-Carbon Green Process Equipment Tianjin300222 China College of Mechanical Engineering Tianjin University of Science and Technology Tianjin300222 China Offshore Oil Engineering Co. Ltd Tianjin300450 China Beijing Institute of Aerospace Testing Technology Beijing100074 China

BiOCl/BiOBr/g-C3N4 ternary heterojunctions were prepared via one-pot method and their photocatalytic sterilization performances for Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) under visible light illumination were investigated. The highest activity was obtained over BiOCl/BiOBr/g-C3N4 ternary composite with n(Bi): n(g-C3N4) of 1:1, which approximately inactivated 100% of E. coli in 2h and 87.67% of S. aureus in 3h. Contrast to pure g-C3N4 and BiOCl/BiOBr binary heterojunction, the enhanced photocatalytic sterilization performance of the ternary heterojunction could be mainly attributed to its narrower band gap and more effective charge carriers separation. Last, the sterilization mechanism of the ternary heterojunction was discussed in detail. © 2025, The Authors. All rights reserved.

关键词： Escherichia coli

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High cycling stability, hydrogen-bonds strengthening Mg(NO3)2·6H2O-propionamide composite phase change materials as energy storage material for solar thermal system

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Journal of Energy Storage 2025年 125卷

作者： Liu, Cheng Zhang, Yi Zhang, Pengrui Ding, Yigang Sun, Jinhe Key Laboratory of Green Chemical Process of Ministry of Education Hubei Key Laboratory for Novel Reactor and Green Chemical Technology Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education School of Chemical Engineering and Pharmacy Wuhan Institute of Technology Wuhan430073 China Key Laboratory of Green and High-end Utilization of Salt Lake Resources Qinghai Institute of Salt Lakes Chinese Academy of Sciences Xining810008 China Qinghai Engineering and Technology Research Center of Comprehensive Utilization of Salt Lake Resources Xining810008 China Qinghai Chemical Design and Research Institute Co. Ltd Xining810008 China

A multitude of composite phase change materials (PCM) systems have been developed, resulting in significant advancements in the efficiency of solar thermal storage systems. However, there is a paucity of inorganic-organic composite PCMs systems, and the phase change mechanism remains unclear, which significantly constrains the deployment and advancement of this category of PCMs. To address this gap in the literature, this team has developed a novel organic-inorganic composite PCM system using 30 wt% Mg(NO3)2·6H2O (MNH) and 70 wt% propanamide (POA) as raw materials. The thermal physical properties of the PCMs were initially analyzed, and the results demonstrated that the PCMs exhibited favourable latent heat and thermal cycling stability. The melting point was found to be 376.2 K, with a latent heat of melting of 131.93 J·g−1. It was observed that the melting temperature and latent heat remained essentially unaltered after 500 cycles. Subsequently, the structure of the PCMs was analyzed using X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR). Ultimately, the interaction between liquid MNH and POA was modeled using molecular dynamics, allowing for a deeper understanding of the phase transition mechanism. It is hypothesized that the hydrogen bonds (HBs) between the two substances affects the physical bond, and that HBs contribute to the PCMs having good stability and a high thermal decomposition temperature. The rational mechanism of this phenomenon is explained from many aspects, including structure, Hirshfeld surface and thermal analysis. It is anticipated that the discovery of this new PCMs will facilitate large-scale applications in solar energy storage. © 2025 Elsevier Ltd

关键词： Fourier transform infrared spectroscopy

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Energy characteristics of urban buildings: Assessment by machine learning

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Building Simulation 2021年第1期14卷 179-193页

作者： Wei Tian Chuanqi Zhu Yu Sun Zhanyong Li Baoquan Yin Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry&Food Machinery and Equipment College of Mechanical EngineeringTianjin University of Science and TechnologyTianjin300222China Tianjin International Joint Research and Development Center of Low-Carbon Green Process Equipment Tianjin300222China School of Architecture Harbin Institute of TechnologyHarbin150090China Tianjin Architecture Design Institute Tianjin300074China

Machine learning techniques have attracted more attention as advanced data analytics in building energy ***,most of previous studies are only focused on the prediction capability of machine learning algorithms to provide reliable energy estimation in *** learning also has great potentials to identify energy patterns for urban buildings except for model ***,this paper explores energy characteristic of London domestic properties using ten machine learning algorithms from three aspects:tuning process of learning model;variable importance;spatial analysis of model *** results indicate that the combination of these three aspects can provide insights on energy patterns for urban *** tuning process of these models indicates that gas use models should have more terms in comparison with electricity in London and the interaction terms should be considered in both gas and electricity *** rankings of important variables are very different for gas and electricity prediction in London residential buildings,which suggests that gas and electricity use are affected by different physical and social ***,the importance levels for these key variables are markedly different for gas and electricity *** are much more important variables for electricity use in comparison with gas use for the importance levels over *** areas with larger model discrepancies can be determined using the local spatial analysis based on these machine learning *** identified areas have significantly different energy patterns for gas and electricity *** research is required to understand these unusual patterns of energy use in these areas.

关键词： urban buildings energy characteristics machine learning variable importance spatial analysis

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Fast-switching-speed, low-forward-voltage-drop static induction (SI) thyristor

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ELECTRICAL ENGINEERING IN JAPAN 1996年第3期116卷 107-115页

作者： Maeda, M Keno, T Suzuki, Y Abe, T Matsushita Electric Works Ltd. [?]Mitsuhide Maeda received his B.S. degree in Material Physics from Osaka University in 1982. In 1982 he joined the Research and Development Division Matsushita Electric Works Osaka where he was first engaged in solar cell design and process technology. From 1983 to 1993 he was with the Semiconductor Research Laboratory where he has been engaged in Static Induction Device design and process technology for power devices. Since 1994 he has been with the Central Research Laboratory where he has been engaged in smart-power device physics and design. Currently he is Senior Researcher of the Central Research Laboratory.

A static induction (SI) thyristor using a normally-off planar-gate structure in a low power class has been developed to be used as a power switching device in a three-phase inverter circuit. A 600 V-15 A class SI thyristor with very fast switching time (tgt, tgq) and low forward voltage drop (V(TM)) was designed and created. This design was performed with a reasonable wafer structure (n(-)/n/p(+)), an n(-) base carrier concentration and thickness, and a gate structure (gate diffusion length and gate-gate pitch). Microscopic processing was used to obtain this SI thyristor. The performance trade-off between turn-off time and forward voltage drop is controlled by a lifetime control process using proton irradiation that results in a very fast switching time with tgt of 500 ns and tgq of 500 ns with V(TM) of 1.5 V (at I-T = 18 A). At a current level of I-T = 18 A, the current density in the active area becomes 200 A/cm(2), which indicates that the performance of the SI thyristor is superior to that of conventional IGBTs and MOSFETs.

关键词： static induction (SI) thyristor, turn-on time turn-off time forward voltage drop trade-off relation proton irradiation

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Energy and carbon performance of urban buildings using metamodeling variable importance techniques

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Building Simulation 2021年第3期14卷 535-547页

作者： Yunliang Liu Wei Tian Xiang Zhou School of Mechanical Engineering Tongji UniversityShanghai 200092China Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry&Food Machinery and Equipment College of Mechanical EngineeringTianjin University of Science and TechnologyTianjin 300222China Tianjin International Joint Research and Development Center of Low-Carbon Green Process Equipment Tianjin 300222China

Global urbanization causes more environmental stresses in cities and energy efficiency is one of major concerns for urban *** variable importance techniques have been widely used in building energy analysis to determine key factors influencing building energy *** of these applications,however,use only one type of variable importance ***,this paper proposes a procedure of conducting two types of variable importance analysis(predictive and variance-based)to determine robust and effective energy saving measures in urban *** two variable importance methods belong to metamodeling techniques,which can significantly reduce computational cost of building energy simulation models for urban *** predictive importance analysis is based on the prediction errors of metamodels to obtain importance rankings of inputs,while the variance-based variable importance can explore non-linear effects and interactions among input variables based on variance *** campus buildings are used to demonstrate the application of the method proposed to explore characteristic of heating energy,cooling energy,electricity,and carbon emissions of *** results indicate that the combination of two types of metamodeling variable importance analysis can provide fast and robust analysis to improve energy efficiency of urban *** carbon emissions can be reduced approximately 30%after using a few of effective energy efficiency measures and more aggressive measures can lead to the 60%of reduction of carbon ***,this research demonstrates the application of parallel computing to expedite building energy analysis in urban environment since more multi-core computers become increasingly available.

关键词： urban buildings variable importance metamodeling energy performance carbon emissions

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Pixel - Based wake interaction and power estimation for a wind farm with irregular boundary

Pixel - Based wake interaction and power estimation for a wi...

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2018 Italian Chapter Conference - Smart Tools and Apps in Computer Graphics, STAG 2018

作者： Ohlsen, Gyde Ruiz-Salguero, Oscar Full, Thomas Acosta, Diego Laboratory of CAD CAM CAE Universidad EAFIT Colombia Department of Wind Energy Technical University Denmark Denmark Institute of Materials Resource Management Augsburg Universitaet Germany Process Development and Design Group Universidad EAFIT Colombia

ISBN: (纸本)9783038680758

In the domain of generation of wind turbine energy, it is central to correctly estimate the interactions among the various turbines in a wind turbine farm. The spatial super-position of turbine wind wakes determines the wind conditions that each turbine in the farm is exposed to and its power output. The current state of the art represents the turbine wakes as a 2D real-valued polygonal trapezoid. The interactions among wakes imply Boolean operations among many trapezoids, producing an intractable fragmentation of the wake intersection and domain regions. The plan (2D) view of the terrain with this wake polygon fragmentation is then used to estimate the effective wind that each turbine receives. This calculation leads to cumbersome computation, which is even more impractical if 3D representations of the terrain, wakes and wind are needed. In response to these limitations, this manuscript presents a method in which the 2D turbine wakes are located on a terrain with holes and exclusion zones bounded by 2D polygons, considering wind direction and turbine array basic specifications. Then, a discretized or pixel approximation of the terrain and wake superposition is calculated using discrete levels of the turbine velocity deficits. This process allows a practical approximation of the power output of each turbine and of the full turbine set. The wake interaction and terrain boundaries are then texture - mapped onto the 3D representation of the terrain, for visualization purposes. As an application, an example of a complex polygonal terrain turbine farm is optimized for maximal power output. This discrete, image - based calculation is particularly convenient in a circumstance in which graphics hardware and GPU processors become increasingly available and efficient, in laptop and mobile devices. This investigation opens research opportunities in mixtures of turbine types, 3D modeling of wind / terrain interaction, and accelerated calculation and visualization with GPU hardw

关键词： Visualization

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Vertical diffusion and CVD tool for next-generation semiconductor devices

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Hitachi Review 2006年第2期55卷 88-92页

作者： Shimada, Masakazu Hirano, Mitsuhiro Maeda, Takahiro Wang, Jie Vertical Equipment Design and Engineering Department Toyama Works Mass Production Process Development Department Toyama Works Development Department I Semiconductor Equipment System Laboratory

OVERVIEW: In regard to recent patterns in semiconductor fabrication, two features are clear: mass production of a few product varieties, such as DRAMs and MPUs, or small amount production of many product varieties, such as system LSIs. From now onwards, however, demands for shortening the fabrication period will grow. In the case of large batches (processing 100 to 125 wafers), the standby time needed for output adjustment gets longer, thereby lengthening the fabrication period significantly. Moreover, on top of increases in gas generation and power consumption, it is also a problem that the quantity of dummy wafers consumed in making up for several defective wafers also increases, and the CoO rises dramatically. In response to these challenges, aiming at higher productivity, Hitachi Kokusai Electric Inc. has developed a vertical-type diffusion and CVD tool - called "QUIXACE" - for handling "quick turnaround time" with good process performance at high throughput. With this tool, we will further contribute to improving the production of semiconductor devices.

关键词： Diffusion

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designing lab-on-a-chip systems with attribute dependency graphs

Designing lab-on-a-chip systems with attribute dependency gr...

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2024 International design Society Conference, design 2024

作者： Soika, Johannes Wanninger, Tobias Muschak, Patrick Schwaminger, Sebastian Berensmeier, Sonja Zimmermann, Markus Laboratory for Product Development and Lightweight Design TUM School of Engineering and Design Technical University of Munich Germany Bioseparation Engineering TUM School of Engineering and Design Technical University of Munich Germany Division of Medicinal Chemistry Otto Loewi Research Center Medical University of Graz Austria Munich Institute for Integrated Materials Energy and Process Engineering Technical University of Munich Germany

Lab-on-a-Chip (LOC) products for point-of-care diagnostics have gained significant attention. However, there is a lack of systematic approaches for LOC product development. To address this, we introduce an Attribute Dependency Graph exemplary for a magnetophoretic LOC system for pathogen detection. This model organizes dependencies between the design variables and crucial quantities of interest, such as detectability, cost per test, and test duration. The obtained model helps to manage design complexity and can be adapted to other LOC approaches. © 2024 Proceedings of the design Society. All rights reserved.

关键词： Lab-on-a-chip

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Environment-friendly block made from steel slag 8

Environment-friendly block made from steel slag

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2004 8th CANMET/ACI International Conference on Fly Ash, Silica Fume, Slag, and Natural Pozzolans in Concrete

作者： Matsunaga, H. Kogiku, F. Takagi, M. Tanishiki, K. Nakagawa, M. Slag and Refractories Research Department Steel Research Laboratory ofJFE Steel Corporation Japan Plant Development and Design Section Plant Engineering Department West Japan Works of JFE Steel Corporation Japan Department Manager of Environment and Process Technology Center of Nippon Steel Corporation Japan

ISBN: (纸本)9780870311468

A new environment-friendly block, called "steel slag hydrated matrix", consisting mainly of steelmaking slag, ground granulated blast furnace slag, fly ash, and water was developed. Steel slag hydrated matrix has the following features: 1) Made from 100% recycled resources, 2) same strength performance as ordinary concrete, 3) excellent wear resistance, 4) low alkaline dissolution, and 5) excellent growth habitat for biofouling organisms in marine environments. In repair work at Mizushima Port, Okayama Prefecture, Japan, 150,000 tons of steel slag hydrated matrix material were used. The ease of use in construction and low impact on ecological systems of the new material were confirmed in the course of this work. © 2004 American Concrete Institute. All rights reserved.

关键词： Slags

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Modeling and simulation of ultra-fine grinding of alumina in a planetary ball mill

Modeling and simulation of ultra-fine grinding of alumina in...

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26th International Mineral processing Congress, IMPC 2012: Innovative processing for Sustainable Growth

作者： Buddhiraju, V. Maheshwari, S. Rai, B. Moys, M. Runkana, V. Tata Research Development and Design Centre Process Engineering Innovation Laboratory Division of Tata Consultancy Services Ltd. 54-B Hadapsar Industrial Estate Pune - 411013 India School of Chemical and Metallurgical Engineering University of Witwatersrand P Bag 3 Wits 2050 South Africa

ISBN: (纸本)8190171437

Liberation of valuable minerals from low-grade ores is an important challenge faced by the minerals industry. It is necessary to grind the ore to extremely fine size in order to liberate the mineral from such ores. As it is generally difficult to produce ultra-fine particles of diameter less than 1-10 mm using traditional grinding equipment such as the ball mill and the rod mill, several new types of grinding equipment are being explored to produce ultra-fine particles. The planetary ball mill is promising in that it makes grinding to submicron sizes possible by imparting high energy to the ground powder. It consists of four pots mounted on a disc. The pots and the disc rotate in opposite directions. The high-speed rotation of the pots and the disc makes the grinding media move at high centrifugal velocities leading to high impact energy and thus improving the grinding performance. The planetary mill is currently being explored for its capability to produce ultra-fine particles on a large scale. In this context, there is a need to understand the dynamics of the ultra-fine grinding process within the planetary ball mill. Here, we address this need by studying the movement of media inside the pots and the grinding kinetics, employing both experimental and modeling techniques. The experiments were conducted on a laboratory scale planetary ball mill. The particle size distribution of the powder was monitored to allow an estimate of the grinding kinetics to be made while video images of the media profiles inside the pots were taken to allow quantification of the media movement as a function of process variables such as the media size, percent loading, etc. The population balance modeling (PBM) framework was used to simulate the kinetics of grinding while the discrete element modeling (DEM) approach was utilized to simulate the media motion. The parameters in the population balance model, namely, the specific breakage rate and the breakage distribution function were deter

关键词： Grinding (machining)

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