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Graphene oxide MgFe2O4 nanocomposites for Cr(VI) remediation: a comparative modeling study

Nanotechnology for Environmental Engineering 2018年第1期3卷 1-11页

作者： Hosseini, Seyed Ali Talebipour, Sahar Neyestani, Mahmoud reza ranjan, Shivendu dasgupta, Nandita Department of Applied Chemistry Faculty of Chemistry Urmia University Urmia Iran Department of Chemistry Faculty of Science Zanjan University Zanjan Iran R&D and Technology Development E-Spin Nanotech Pvt Ltd SIDBI Incubation Center IIT Kanpur KanpurUttar Pradesh208016 India Nano-food Research Group School of Bio Sciences and Technology VIT University VelloreTamil Nadu India

The article describes the synthesis and application of magnesium ferrite nanoparticles (MgFe2O4 NPs) and engineered MgFe2O4 nanocomposites (NCs) by graphene oxide as green and easy separable magnetic adsorbents in removal of Cr(VI) from environmental pollutant. The statistical study of the adsorption process and optimization was accomplished with central composite design method of response surface methodology (rSM) approach. The optimum conditions, predicted by rSM, were achieved at pH, contact time, initial Cr(VI) concentration and adsorbent dosage of 2, 60 min, 40 mg L−1 and 0.15 g, respectively. The removal of Cr(VI) under optimum situations was 97%, and the achieved result in practice was found to be 99%. Pareto analysis suggests the importance relative order of the factors as: pH > concentration of Cr(VI) > time > adsorbent dosage under optimized situations. The engineered nanocomposite was further analyzed for real groundwater samples, and 92% Cr(VI) remediation was resulted. The study is the first study for efficient Cr(VI) remediation from real groundwater sample using novel engineered nanocomposites and has potential to have societal as well as industrial impact in the form of process or product development. © 2018, Springer International Publishing AG, part of Springer Nature.

关键词： Nanocomposites

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Computational Fluid dynamic study on the effect of near gravity material on dense medium cyclone treating coal using discrete Phase Model and Algebraic Slip mixture multiphase model

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Journal of Computational Multiphase Flows 2017年第2期9卷 58-70页

作者： Aketi, Veera A.K. Vakamalla, T.r. Narasimha, M. Sreedhar, G.E. Shivakumar, r. rajanKumar Department of Chemical Engineering Indian Institute of Technology Hyderabad India R&D National Mineral Development Corporation Limited India

In this paper, the effect of near gravity material at desired separation density during the coal washing is studied. It is believed that the dense Medium Separation of coal particles in the presence of high percentage of near gravity material, results in a significant misplacement of coal particles to wrong products. However the performance of dense medium cyclone does not merely depend on the total amount of near gravity materials but also on their distribution as well as on their quality. This paper deals with numerical simulation of magnetite medium segregation and coal partitioning handled in a 350 mm dense medium cyclone. Volume of Fluid coupled with reynolds Stress Model is used to resolve the two-phase air-core and turbulence. Algebraic Slip mixture multiphase model with the granular options are considered to predict magnetite medium segregation. Medium segregation results are validated against Gamma ray Tomography measurements. Further, discrete Phase Model is used to track the coal particles. residence Time distribution of different size and density coal particles are also estimated using discrete Phase Model. Additionally, Algebraic Slip mixture model is also utilised to simulate magnetite and coal particle segregation at different near gravity material proportions. discrepancies in the coal particle behaviour at different near gravity material content are explained using locus of zero vertical velocities, mixture density, coal volume fractions. © 2016, © The Author(s) 2016.

关键词： Mixtures

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Control of MgAl2O4-CaS Complex Inclusions in Al-Killed resulfurized Steel Melts

Control of MgAl2O4-CaS Complex Inclusions in Al-Killed Resul...

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2018年可持续发展炼钢技术国际研讨会

作者： Jae Hong Shin Joo Hyun Park Department of Materials Engineering Hanyang University Steelmaking Technology Development Team R&D Division Hyundai Steel

The [S] content in resulfurized steel is controlled in the range of 200～800 ppm to ensure good machinability and workability. It is well known that ‘MgAlO（spinel）+CaS' complex inclusions are formed in molten steel during the ladle refining process, and these cause nozzle clogging during continuous casting. Thus, in the present study, the ‘refractory-Slag-Metal-Inclusions（reSMI）' multiphase reaction model was employed in conjunction with experiments to investigate the influence of slag composition and [S] content in the steel on the formation of oxide-sulfide complex inclusions. The critical [S] and [Al] contents necessary for the precipitation of CaS in the CaO-AlO-MgO-SiO oxide inclusions were predicted from the composition of the liquid inclusions, as observed one by SEM-EdS and calculated one using reSMI process simulation model. The critical [S] content increases with increasing content of SiO2 in the slag at a given [Al] content. Formation mechanisms for spinel+CaS complex inclusions were also proposed.

关键词： resulfurized steel MgAl2O4(spinel) CaS inclusion ladle refining nozzle clogging reSMI model

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design and development of wireless networking for solar PV panel cleaning robots

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IOP Conference Series: Materials Science and Engineering 2020年第1期937卷

作者： G Anilkumar K Naveen M T V S H K Pavan Kumar G V Brahmendra Kumar K Palanisamy Avinash Patil deepak Sachan School of Renewable Energy JNT University Kakinada 533003 India. Centre for Smart Grid Technologies Vellore Institute of Technology Vellore 632014 India. Technology Development Lab BHEL R&D Division Hyderabad 500093 India.

This paper discusses about one of the possible solutions to overcome the influence of dust on the surface of solar PV panel. A decrease in power output with the increase in particle deposition has been identified in large scale solar PV power generation where there were many numbers of solar panels connected in the form of arrays and each array requires a robot to carry out efficient cleaning with in stipulated time. Autonomous automatic cleaning operation along with self-control and monitoring of accumulated dust with proper coordination through networking between robots is prerequisite option to attain efficient cleaning system in large scale solar power plants. To accomplish the same, selection of appropriate communication technology for real time wireless networking of solar cleaning robots with low power consumption and data delay to operate over wide area is required. Here an attempt had been made to bring in an automated robot cleaning system using low power wide area network (LPWAN) based on a network of ESP 8266 Node MCU's associated with a set of sensors under different configurations which showed successful results for implementation in industrial scale large solar PV power plants.

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Improving drilling speed and borehole quality in ultra-deep complex formations through rock mechanics research

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IOP Conference Series: Earth and Environmental Science 2021年第6期861卷

作者： Huifeng Liu Yue Xiao Zhixiong Xu Wanjun Li Yong Wang Shujiu Feng Qi Liu Qijun Guo CNPC Engineering Technology R&D Company Limited Building NO.1 Yard NO.5 Huanghe Street Changping Beijing 102206 China PetroChina Tarim Oilfield Company NO. 26 Shihua Street Korla Xinjiang 841000 China China National Oil and Gas Exploration and Development Corporation NO.6 Fuchengmen North Street Xicheng District Beijing 100034 China

Halahatang oilfield in Tarim Basin is a typical ultra deep fractured vuggy carbonate reservoir, which is the main production area of crude oil in Tarim Basin. The wellbore instability is serious in Triassic and lower strata (the borehole enlargement rate is 22% - 31%). due to the complex rock characteristics, the drilling cycle for single well is long (124 days on average), and it is difficult to speed up. Based on the log interpretation curves, the calculation methods of pore pressure, collapse pressure and fracture pressure profiles established, and the spatial distribution characteristics of three pressures in this area were analysed; The rock drillability, rock hardness, compressive strength and abrasiveness of the roller bit and PdC bit single well measured by laboratory tests. Based on the statistical regression method, the relationship between the above drilling rock mechanical parameters and logging acoustic time difference and the formation drillability profile single were studied. The research results guide the drilling design optimization and operation of 15 wells in Ha 8 and Ha 12 blocks, The average drilling cycle is reduced by 21% (from 124 days to 98 days), and the hole enlargement rate is reduced from 24% to less than 10%.

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SciOps: Achieving Productivity and reliability in data-Intensive research

arXiv

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arXiv 2023年

作者： Johnson, Erik C. Nguyen, Thinh T. dichter, Benjamin K. Zappulla, Frank Kosma, Montgomery Gunalan, Kabilar Halchenko, Yaroslav O. Neufeld, Shay Q. ratan, Kristen Edwards, Nicholas J. ressl, Susanne Heilbronner, Sarah r. Schirner, Michael ritter, Petra Wester, Brock Ghosh, Satrajit Martone, Maryann E. Pestilli, Franco Yatsenko, dimitri Research and Exploratory Development Department Johns Hopkins University Applied Physics Laboratory LaurelMD United States DataJoint Inc. HoustonTX United States CatalystNeuro BeniciaCA United States Digital R&D Creation Center Pfizer Inc. United States McGovern Institute for Brain Research Massachusetts Institute of Technology CambridgeMA United States Center for Open Neuroscience Department of Psychological and Brain Sciences Dartmouth College New Hampshire United States Inscopix a Bruker company Mountain ViewCA United States Santa CruzCA United States Happy Potato Inc. IssaquahWA United States Department of Neuroscience University of Texas at Austin AustinTX United States Neurosurgery Baylor College of Medicine HoustonTX United States Charité – Universitätsmedizin Berlin Berlin Germany Department of Neurology with Experimental Neurology Charité Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin Humboldt Universität zu Berlin Berlin Germany Bernstein Focus State Dependencies of Learning Bernstein Center for Computational Neuroscience Berlin Germany Einstein Center for Neuroscience Berlin Berlin Germany Einstein Center Digital Future Berlin Germany Department of Otolaryngology Harvard Medical School BostonMA United States Department of Neurosciences University of California La Jolla San DiegoCA United States Department of Psychology University of Texas Austin AustinTX United States

Scientists are increasingly leveraging advances in instruments, automation, and collaborative tools to scale up their experiments and research goals, leading to new bursts of discovery. Various scientific disciplines, including neuroscience, have adopted key technologies to enhance collaboration, reproducibility, and automation. drawing inspiration from advancements in the software industry, we present a roadmap to enhance the reliability and scalability of scientific operations for diverse research teams tackling large and complex projects. We introduce a five-level Capability Maturity Model describing the principles of rigorous scientific operations in projects ranging from small-scale exploratory studies to large-scale, multi-disciplinary research endeavors. Achieving higher levels of operational maturity necessitates the adoption of new, technology-enabled methodologies, which we refer to as "SciOps." This concept is derived from the devOps methodologies that have revolutionized the software industry. SciOps involves digital research environments that seamlessly integrate computational, automation, and AI-driven efforts throughout the research cycle—from experimental design and data collection to analysis and dissemination, ultimately leading to closed-loop discovery. This maturity model offers a framework for assessing and improving operational practices in multidisciplinary research teams, guiding them towards greater efficiency and effectiveness in scientific inquiry. © 2023, CC BY.

关键词： Artificial intelligence

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design and Implementation of an Extensible Entire Component Virtual Battlefield Electromagnetic Situation display System

Design and Implementation of an Extensible Entire Component ...

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2018 International Conference on Information, Electronic and Communication Engineering(IECE 2018)

作者： Zheng-hao SUN Li-min YANG Xin LIAO Aerospace System Development and Research Center China Aerospace Science and Technology Corporation R&D Center China Academy of Launch Vehicle Technology

In the research of virtual battlefield electromagnetic situation display system, the traditional methods were mainly used 3d simulation modeling software to realize visual scene. The disadvantages are that the developed system is not universal;the codes cannot be controlled independently as it is restricted by the permission of commercial software;the constant updating of business software versions makes it difficult to migrate development results. As a result, the system development process is complex;the code is not controlled;and the development results have poor inheritance. This paper presents a design idea of developing a virtual battlefield electromagnetic situation display system by using software platform with self-developed extensible entire component structure. The platform has a good secondary development interface and easy to extend application components, making the development process of electromagnetic situation display system simple, strong commonality, and the final show effect closer to real battlefield environment.

关键词： Extensible entire component Battlefield situation display Virtual reality

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retraction notice to “Combustion and emission behaviors of dual-fuel premixed charge compression ignition engine powered with n-pentanol and blend of diesel/waste tire oil included nanoparticles” [Fuel 324 (2022) 124603]

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Fuel 2025年 382卷

作者： P.V. Elumalai Santosh Kumar dash M. Parthasarathy N.r. dhineshbabu dhinesh Balasubramanian dao Nam Cao Thanh Hai Truong Anh Tuan Le Anh Tuan Hoang Department of Mechanical Engineering Aditya Engineering College Surampalem India Department of Mechanical Engineering Jawaharlal Nehru Technological University Kakinada Kakinada East Godavari District Andhra Pradesh India Department of Mechanical Engineering Ghani Khan Choudhury Institute of Engineering and Technology Malda West Bengal 732141 India School of Mechanical and Construction Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of Electronics and Communication Engineering Aditya Engineering College Surampalem India Department of Mechanical Engineering Mepco Schlenk Engineering College Sivakasi TamilNadu India Mechanical Engineering Faculty of Engineering KhonKaen University KhonKaen Thailand Center for Alternative Energy Research and Development KhonKaen University KhonKaen Thailand Institue of Mechanical Engineering Ho Chi Minh City University of Transport Ho Chi Minh City Viet Nam PATET Research Group Ho Chi Minh City University of Transport Ho Chi Minh City Viet Nam School of Mechanical Engineering Hanoi University of Science and Technology Hanoi Viet Nam Institue of Engineering HUTECH University Ho Chi Minh City Viet Nam

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BHEL Smart Wall Blowing System: New Product development in Manufacturing Industry

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Vikalpa 2021年第4期45卷 240 - 249页

作者： Abhishek Kumar r. dhanuskodi r. Kaliappan K. Nandakumar Abhishek Kumar teaches design philosophies at Anant National University Ahmedabad. He earned his Ph.D in Management from Pondicherry University. He is an Economics graduate from Calcutta University and MBA from BIM Trichy. He has published more than 20 articles in reputed international journals has authored two books written articles and columns for newspapers and is quoted on issues related to leadership and marketing by various media platforms. His research work comprises construction of brand personality scale for media aesthetics and phenomenological design. His recent publications are on philosophy of a photograph hermeneutic reality of product and on philosophy of intimate spaces. R. Dhanuskodi has nearly 40 years of R&D experience at BHEL India in technical areas applicable for thermal power plants. He is a life member of The Institution of Engineers (India) and The Combustion Institute. He has won two BHEL’s Excel awards under the best author category for technical papers. He has visited France Netherlands and Germany under Indo-Europe Clean Coal Development Program. He has guided 42 UG PG and PhD project works. He holds 11 patents 40 copyrights and 2 design registrations. He has presented papers in 20 conferences and published in 10 national and international journals. R. Kaliappan completed his bachelors in electrical and electronics engineering and Masters in Computer Science. He has 36 years of research experience in different fields of power generation and power plant subsystems such as heat transfer studies on boiler circulation efficiency improvements of boiler subsystems product improvements/ enhancements and setting up test facilities for research studies. He has published a number of technical papers on MHD power generation and heat transfer studies in various national and international journals. He has more than 25 patents and copyrights on products development related to power boilers. He has won BHEL’S gold medal for product development for Smart Wall Blowing system. K. Nandakumar

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ring-restricted N-nitrosated rhodamine as a green-light triggered,orange-emission calibrated and fast-releasing nitric oxide donor

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Chinese Chemical Letters 2018年第10期29卷 1497-1499页

作者： Haihong He Tingting He Ziqian Zhang Xiu Xu Huibin Yang Xuhong Qian Youjun Yang State Key Laboratory of Bioreactor Engineering East China University of Science and Technology Shanghai 200237 China Shanghai Key Laboratory of Chemical Biology School of Pharmacy East China University of Science and Technology Shanghai 200237 China Guangxi Scientific Research Center of Traditional Chinese Medicine Guangxi University of Chinese Medicine Nanning 530200 China State Key Laboratory of the Discovery and Development of Novel Pestidde Shenyang Sinochem Agrochemicals R&D Co. Ltd. Shenyang 110021 China

Nitric oxide（NO） donors are versatile tools for nitric oxide biology. The biological response of NO is dependent on the transient concentration and the sustained duration. N-Nitrosated rhodamines are photo-triggered and photo-calibrated NO donors. We recently discovered that suppression of the dihedral angle between the N-nitroso fragment with the rhodamine scaffold facilitates NO *** by this discovery, we developed a fast-releasing NO donor （NOd575） suitable for biological applications, e.g., the pulmonary arterial smooth muscle cells（PASMCs）.

关键词： NO donor Photo-trigger Photo-calibrate Platelet aggregation inhibition Antimicrobial

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