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Effect of cooling media on bead geometry,microstructure,and mechanical properties of wire arc additive manufactured IN718 alloy

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Advances in Manufacturing 2024年第1期12卷 124-149页

作者： Parveen kumar satish kumar Sharma Ratnesh kumar Raj Singh Department of Mechanical Engineering Thapar Institute of Engineering and TechnologyPatialaPunjab147004India

This work aims to present and explore thermal management techniques for the wire arc additive manufacturing(WAAM)of IN718 *** heat can be mitigated via air or water *** this study,the material was deposited under four different heat-input conditions with air or water *** air cooling,the layer is deposited in a normal atmospheric air environment,whereas with water cooling,the material is deposited inside a water tank by varying the water *** validate the air and water cooling thermal management techniques,IN718 single-pass and multilayer linear walls were deposited using the bidirectional gas metal arc welding based WAAM setup under four different heat input *** the deposition of single layers,the temperature profiles were recorded,and the geometric and microstructural features were *** multilayer wall structures,the mechanical properties(hardness,tensile strength,and elongation)were determined and assessed using the corresponding microstructural features explored through scanning electron microscopy(SEM),energy dispersive spectroscopy(EDS),and electron backscatter diffraction(EBSD)*** microstructure observed through SEM analysis in the building direction was found to be nonhomogenous compared with that in the deposition ***,water cooling was found to govern bead characteristics,such as wall width and *** grain size and anisotropy of the mechanical properties also decreased in the water-cooled ***,water cooling is an economical and efficient method to mitigate excessive heat accumulation in WAAM-deposited IN718.

关键词： Air cooling Water cooling IN718 Bead characteristics Microstructure Electron backscatter diffraction(EBSD)

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Genomic selection of eight fruit traits in pear

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Horticultural Plant Journal 2024年第2期10卷 318-326页

作者： Manyi Sun Mingyue Zhang satish kumar Mengfan Qin Yueyuan Liu Runze Wang Kaijie Qi Shaoling Zhang Wenjing Chang Jiaming Li Jun Wu College of Horticulture State Key Laboratory of Crop Genetics&Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingJiangsu 210095China State Key Laboratory of Crop Biology College of Horticulture Science and EngineeringShandong Agricultural UniversityTai'anShandong 271018China The New Zealand Institute for Plant and Food Research Limited Private Bag 1401Havelock North 4157New Zealand Zhongshan Biological Breeding Laboratory NanjingJiangsu 210014China

Genomic selection (GS) has the potential to improve selection efficiency and shorten the breeding cycle in fruit tree breeding. In this study,we evaluated the effect of prediction methods, marker density and the training population (TP) size on pear GS for improving its performance and reducing cost. We evaluated GS under two scenarios:(1) five-fold cross-validation in an interspecific pear family;(2) independent validation. Based on the cross-validation scheme, the prediction accuracy (PA) of eight fruit traits varied between 0.33 (fruit core vertical diameter)and 0.65 (stone cell content). Except for single fruit weight, a slightly better prediction accuracy (PA) was observed for the five parametrical methods compared with the two non-parametrical methods. In our TP of 310 individuals, 2 000 single nucleotide polymorphism (SNP) markers were sufficient to make reasonably accurate predictions. PAs for different traits increased by 18.21%-46.98%when the TP size increased from 50to 100, but the increment was smaller (-4.13%-33.91%) when the TP size increased from 200 to 250. For independent validation, the PAs ranged from 0.11 to 0.45 using rrBLUP method. In summary, our results showed that the TP size and SNP numbers had a greater impact on the PA than prediction methods. Furthermore, relatedness among the training and validation sets, and the complexity of traits should be considered when designing a TP to predict the test panel.

关键词： Pear Pyrus Prediction method TP size SNP marker number

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Systematic Review on Critical Factors and Their Optimization for Solar Cell Performance Enhancement

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Journal of Harbin Institute of Technology(New Series) 2024年第4期31卷 85-98页

作者： Nidhi Shukla satish kumar Department of Physics Mansarovar Global UniversitySehore 466001India

Solar cells and other renewable energy sources are crucial in today's world where sustainability and environmental consciousness is at *** of this,creating the optimal capacity is a fair aim for the operators of such *** transformation of solar energy into either electricity by means of photovoltaics or into useable fuel by means of photo electrochemical cells remained a primary objective for research organizations and development *** this piece,we will take a look back at the history of solar cells and examine their progression through the *** significant aspects which have an impact on the solar cells' performance are also *** article provides a comprehensive and in-depth overview of the important aspects that affect the solar cells' performance,as well as a discussion of the application of bio-inspired optimization algorithms to improve the parameters of solar *** critical factors and their optimization for solar cell performance enhancement is *** helps identify key performance factors,understand limitations,and challenges,and identify effective optimization *** evaluating trade-offs and synergies,it guides future research and informs industrial applications,leading to more efficient and sustainable solar cell technologies.

关键词： solar energy photovoltaic cells temperature irradiance design optimization

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Jensen-Renyi’s-Tsallis Fuzzy Divergence Information Measure with its Applications

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Communications in Mathematics and Statistics 2022年第3期10卷 451-482页

作者： Ratika Kadian satish kumar Department of Mathematics Maharishi Markandeshwar(Deemed to be)UniversityMullana-Ambala 133207India

In this paper,we have characterized the sum of two general measures associated with two distributions with discrete random *** of these measures is logarithmic,while others contains the power of variables,named as joint representation of Renyi’s-Tsallis divergence ***,we propose a divergence measure based on Jensen-Renyi’s-Tsallis entropy which is known as a Jensen-Renyi’s-Tsallis divergence *** is a generalization of J-divergence information *** of the silent features of this measure is that we can allot the equal weight to each probability *** makes it specifically reasonable for the study of decision problems,where the weights could be the prior ***,the idea has been generalized from probabilistic to fuzzy similarity/dissimilarity *** the validation of the proposed measure,some of its key properties are also ***,the performance of the proposed measure is contrasted with some existing *** last,some illustrative examples are solved in the context of clustering analysis,financial diagnosis and pattern recognition which demonstrate the practicality and adequacy of the proposed measure between two fuzzy sets(FSs).

关键词： Fuzzy sets Divergence measure Similarity measure Clustering analysis Financial diagnosis

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2.0 Ga orogenic graphite deposits and associated 13C-enriched meta-carbonate rocks from South China Craton:Implications for global Lomagundi event

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Geoscience Frontiers 2022年第4期13卷 181-192页

作者： Yihe Li Madhusoodhan satish-kumar Sasidharan Kiran Chuanhui Wan Jianping Zheng Institute of Geophysics and Geomatics Hubei Subsurface Multi-scale Imaging Key LaboratoryChina University of GeosciencesWuhan 430074China Department of Geology Faculty of ScienceNiigata UniversityNiigata 950-2181Japan Graduate School of Science and Technology Niigata UniversityNiigata 950-2181Japan Eighth Geological Brigade of Hubei Xiangyang 441000China School of Earth Sciences State Key Laboratory of Geological Processes and Mineral ResourcesChina University of GeosciencesWuhan 430074China

The Lomagundi(-Jatuli)event,characterized by extremely high positive global inorganic carbon isotope excursion at about 2.2 billion years ago,is pivotal in investigating the causes and consequences of great oxygenation event,inventory and sequestration of carbon on the Earth’s surface,evolution of life,and more profoundly tectonic control on Earth’s ***,the reasons that caused the isotopic excursion are not resolved ***,we report the discovery of meta-carbonate rocks with distinct positive carbon isotopic excursion from the Paleoproterozoic continental collision zone of the Kongling Complex,South China *** δ^(13)C_(V-PDB) values for meta-carbonate rocks show positive values in the range from+5.5‰to+11.6‰,whereas the δ^(13)C_(V-PDB) values of associated graphite deposits range from-25.8‰to-9.5‰.Zircon U-Pb-Hf isotopes from zircon-bearing meta-carbonate sample yielded weighted average _(207)Pb/_(206)Pb age of 2001.3±9.5 Ma,with correspondingε_(Hf)(t)range from-7.05 to-3.16,comparable to the values of local 2.9–2.6 Ga basement *** characteristics of meta-carbonate rocks,such as their rare earth element patterns and the trace element parameters of La,Ce,Eu,and Gd anomalies and Y/Ho ratio,suggest that the carbonate deposition took place in passive continental margin in association with large volumes of organic *** extensive graphite deposits from Kongling Complex in South China Craton,their equivalents in the North China Craton and elsewhere across the globe prove that the burial of ^(12)C-enriched organic carbon has eventually resulted in the global enrichment of ^(13)C in the atmospheric CO_(2),which is recorded in the marine carbonate *** mass balance estimates indicate that more than half of the organic carbon was buried during the oceanic ***,the observed global shift could be directly related to the continent collision event in greater China,thus resolving the long-standing paradox of the Lomag

关键词： Positive carbon isotope excursion Lomagundi(-Jatuli)event Kongling Complex South China Craton Marine carbonate

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Numerical investigation of the effect of transitory strand opening on mixing in a multistrand tundish

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International Journal of Minerals,Metallurgy and Materials 2011年第5期18卷 535-542页

作者： Sabin kumar Mishra Pradeep kumar Jha satish Chandra Sharma satish kumar Ajmani Department of Mechanical and Industrial Engineering Indian Institute of Technology RoorkeeRoorkee 247667UttarakhandIndia Steelmaking and Casting Research Group Tata SteelR&DBurma MinesJamshedpur 831007JharkhandIndia

In a multistrand,the outlet near the inlet produces short circuiting *** leads to the formation of dead zones inside the tundish,and consequently,the mean residence time *** the present study,numerical investigation of mixing inside a delta shaped tundish with sloping boundaries was carried out by solving the Navier-Stokes equation and employing the standard turbulence *** decrease the dead zone volume inside the tundish,the effect of closing the outlet near the inlet for a small amount of time and further opening it on the mixing behavior of the tundish was *** outlets near the inlet were closed for varying amount of time,and the transient analysis of fluid flow and the tracer dispersion study were carried out to find the mixing parameters of the tundish,namely,mean residence time and the ratio of mixed to dead volume of the *** optimum closure time of the near outlet has been found,which yields best mixing inside the *** numerical code was validated against the experimental observation by performing the tracer dispersion study inside a multistrand tundish and the reasonably good match between the experimental and numerical results in terms of residence time distribution （RTD） *** results obtained from the present study confirm the strong role of choosing the right time for opening and closing the outlets to get improved characteristics for the fluid flow and mixing behavior of the *** educational version of computational fluid dynamics （CFD） software PHOENICS was used to solve the governing equations and interpret the results in different forms.

关键词： continuous casting billets tundish flow simulation mean residence time dead volume computational fluid dynamics (CFD)

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Assessment of geodetic strain and stress variations in Nepal due to 25 April 2015 Gorkha earthquake:Insights from the GNSS data analysis and b-value

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Geodesy and Geodynamics 2022年第3期13卷 288-300页

作者： Sravanthi Gunti Priyom Roy J.Narendran Ramesh Pudi S.Muralikrishnan K.Vinod kumar M.Subrahmanyam Y.Israel B.satish kumar National Remote Sensing Centre Indian Space Research Organization(ISRO)BalanagarHyderabad500037India Sustainability Risk Management Solutions of IndiaNoida201301India Department of Geophysics Andhra UniversityVisakhapatnam530003India

A magnitude M;7.8 earthquake occurred on 25 April 2015(referred as Gorkha earthquake).We have analyzed the spatial variation of b-value and two-dimensional strain within Nepal Himalaya before and after the Gorkha *** have used continuous Global Navigation Satellite System(GNSS)data from 30 stations in the Nepal region for geodetic strain estimation and earthquake data for b-value *** GNSS data were processed using double differencing technique for the accurate position of each *** precise velocity vectors show a general azimuth of north east for all the stations and have been used to derive two-dimensional *** epicenters of Gorkha(25 April 2015)and Dolakha earthquakes(12 May 2015),we observed high co-seismic horizontal displacements(0.2 m to 2 m).In the Pre-seismic deformation study,maximum strain accumulation(56.40×10;)and low bvalue(0.79-0.89)was observed in and around the Western Nepal region,which may be responsible for the 2015 Gorkha *** potential seismic zones were identified by GIS based integration of geodetic strain and b-value map and superimposition using weighted overlay *** Maximum strain and low b-value are now observed in the eastern part of ***,the spatial disposition of elastic energy has changed after the two major earthquakes and continuous seismic hazard assessment is required in the eastern Nepal.

关键词： Himalaya Co-seismic offsets Bernese 5.2 UNAVCO Grid_Strain

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A novel method to investigate voltage stability of IEEE-14 bus wind integrated system using PSAT

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Frontiers in Energy 2020年第2期14卷 410-418页

作者： satish kumar Ashwani kumar N.K.SHARMA Department of Electrical Engineering National Institute of Technology(NIT)KurukshetraHaryana 136119India Department of Electrical Engineering G L Bajaj Institute of Technology and ManagementGreater NoidaUtter Pradesh 201306India

The maximum demand of power utilization is increasing exponentially from base load to peak load in day to day *** power demand may be either industrial usage or household *** meet this high maximum power demand by the consumer,one of the options is the integration of renewable energy resources with conventional power generation *** the present scenario,wind energy system is one of the methods to generate power in connection with the conventional power *** the load on the conventional grid system increases,various bus voltages of the system tend to decrease,causing serious voltage drop or voltage instability within the *** view of this,identification of weak buses within the system has become *** paper presents the line indices method to identify these weak buses,so that some corrective action may be taken to compensate for this drop in *** attempt has been made to compensate these drops in voltages by integration of renewable energy *** wind energy system at one of the bus in the test system is integrated and the performance of the system is verified by calculating the power flow(PF)using the power system analysis tool box(PSAT)and line indices of the integrated test *** PF and load flow results are used to calculate line indices for the IEEE-14 bus test system which is simulated on PSAT.

关键词： voltage stability line indices power system analysis tool box(PSAT) wind system line loading power flow(PF)

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Optimal integration of DGs into radial distribution network in the presence of plug-in electric vehicles to minimize daily active power losses and to improve the voltage profile of the system using bioinspired optimization algorithms

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Protection and Control of Modern Power Systems 2020年第1期5卷 21-35页

作者： satish kumar Injeti Vinod kumar Thunuguntla Department of Electrical Engineering National Institute of Technology WarangalTelengana State 506004India

Purpose:The increase in plug-in electric vehicles(PEVs)is likely to see a noteworthy impact on the distribution system due to high electric power consumption during charging and uncertainty in charging *** address this problem,the present work mainly focuses on optimal integration of distributed generators(DG)into radial distribution systems in the presence of PEV loads with their charging behavior under daily load pattern including load models by considering the daily(24 h)power loss and voltage improvement of the system as objectives for better system ***/methodology/approach:To achieve the desired outcomes,an efficient weighted factor multi-objective function is *** Swarm Optimization(PSO)and Butterfly Optimization(BO)algorithms are selected and implemented to minimize the objectives of the system.A repetitive backward-forward sweep-based load flow has been introduced to calculate the daily power loss and bus voltages of the radial distribution *** simulations are carried out using MATLAB ***:The simulation outcomes reveal that the proposed approach definitely improved the system performance in all *** PSO and BO,BO is comparatively successful in achieving the desired ***/value:The main contribution of this paper is the formulation of the multi-objective function that can address daily active power loss and voltage deviation under 24-h load pattern including grouping of residential,industrial and commercial *** of repetitive backward-forward sweep-based load flow and the modeling of PEV load with two different charging scenarios.

关键词： Plug-in electric vehicles(PEVs) Distributed generators(DGs) Repetitive distribution power flow Particle swarm optimization algorithm(PSO) Butterfly optimization(BO) Daily active power loss

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A Hybrid Offline-Online Approach to Adaptive Downlink Resource Allocation Over LTE

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IEEE/CAA Journal of Automatica Sinica 2019年第3期6卷 766-777页

作者： satish kumar Rajesh Devaraj Arnab Sarkar IEEE the Department of Computer Science and Engineering IIT Guwahati

Radio resource management mechanisms in current and future wireless networks is expected to face an enormous challenge due to the ever increasing demand for bandwidth and latency sensitive applications on mobile devices. This is because an optimal resource allocation scheme which attempts to multiplex the available bandwidth in order to maximize Quality of service(QoS), will pose an exponential computational burden at eNodeB. In order to minimize such computational overhead, this work proposes a hybrid offline-online resource allocation strategy which effectively allocates all the available resources among flows such that their QoS requirements are satisfied. The flows are firstly classified into priority buckets based on real-time criticality factors. During the offline phase, the scheduler attempts to maintain the system load within a pre-specified safe threshold value by selecting an appropriate number of buckets. This offline selection procedure makes use of supervisory control theory of discrete event systems to synthesize an offline scheduler. Next, we have devised an online resource allocation strategy which runs on top of the offline policy and attempts to minimize the impact of the inherent variability in wireless networks. Simulation results show that the proposed scheduling framework is able to provide satisfactory QoS to all end users in most practical scenarios.

关键词： Discrete event systems (DES) hybrid scheduling long term evolution (LTE) quality of service (QoS) radio resource management supervisory control

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