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化学镀镍槽热损失的最小化(英文)

电镀与涂饰 2010年第7期29卷 27-29页

作者： k. n. srinivasan T. Selvagan.pathy R. Meen.k.hi S. John Cen.ral Electrochemical Research In.titute Karaikudi Tamilnadu-630006 India An.amalai Un.versity Annamalai Nagar Tamilnadu-608002 India A.V.V.M Sri Pushpam College Poondi Thanjavur Tamilnadu-613503 India

在不使用电能的情况下，化学镀依靠含有还原剂的水溶液中金属离子的催化还原，从而实现金属的沉积。其成功与否，很大程度上取决于温度的维护。温度升高，沉积速度加快，因此，应当避免热量散失到周围环境中。本文估算了包裹不同隔热材... 详细信息

在不使用电能的情况下，化学镀依靠含有还原剂的水溶液中金属离子的催化还原，从而实现金属的沉积。其成功与否，很大程度上取决于温度的维护。温度升高，沉积速度加快，因此，应当避免热量散失到周围环境中。本文估算了包裹不同隔热材料的化学镀镍液的散热量。结果表明，采用棉花作为隔热材料，热损失可降至最低，从而提高并维持一定的沉积速率。

关键词：镍磷合金化学镀热损失隔热材料

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镍-磷-硫酸钡化学复合镀层的研制(英文)

电镀与涂饰 2011年第3期30卷 31-34页

作者： S. k.rthik.yan.G. Ven.0}tachalam k. n. srinivasan S. n.rayan.n Materials Division School of Advanced Sciences VIT University Vellore-632014 Tamilnadu India Design.Division School of Mechanical and Building Sciences VIT University Vellore-632014 Tamilnadu India IMF Division Central Electrochemical Research Institute (CECRI) Karaikudi-630006 Tamilnadu India Man.facturin. Division School of Mechanical and Building Sciences VIT University Vellore-632014 India

在由硫酸镍31g/L、次磷酸钠22g/L、乙醇酸30g/L、乙酸钠13g/L、二甲胺0.8g/L、全氟乙基碘化铵0.1g/L及重晶石(即硫酸钡)0～25g/L组成的稳定镀液中,采用化学镀的方法在低碳钢上制备了n.–P–BaSO4复合镀层。其表面形貌采用扫描电镜进行分... 详细信息

在由硫酸镍31g/L、次磷酸钠22g/L、乙醇酸30g/L、乙酸钠13g/L、二甲胺0.8g/L、全氟乙基碘化铵0.1g/L及重晶石(即硫酸钡)0～25g/L组成的稳定镀液中,采用化学镀的方法在低碳钢上制备了n.–P–BaSO4复合镀层。其表面形貌采用扫描电镜进行分析,耐蚀性以动电位极化及电化学阻抗谱测试。镍–磷合金基体中掺入硫酸钡,提高了化学镀层的显微硬度。相对于纯n.–P合金镀层,n.–P–BaSO4复合镀层具有更小的磨损率。硫酸钡颗粒的存在使得复合镀层的耐蚀性明显降低。

关键词：化学镀镍磷合金硫酸钡复合镀层耐蚀性显微硬度耐磨性

Direct recyclin. of Li-ion.batteries from cell to pack.level:Challen.es an. prospects on.techn.logy,scalability,sustain.bility,an. econ.mics

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Carbon.En.rgy 2024年第6期6卷 1-39页

作者： Joseph Jegan.Roy Do Min. Phuon. Vivek.Verma Richa Chaudhary Michael Carbon. Dan.el Meyer Bin.Cao Madhavi srinivasan En.rgy Research In.titute@n.U(ERI@n. SCARCE LaboratoryNanyang Technological UniversitySingaporeSingapore School of Materials Scien.e an. En.in.erin. Nanyang Technological UniversitySingaporeSingapore CEA CNRSENSCMUniversity of MontpellierUMR 5257(ICSM)Bagnols-sur-Cèze CedexFrance School of Civil an. En.iron.en.al En.in.erin. Nanyang Technological UniversitySingaporeSingapore

Direct recyclin. is a n.vel approach to overcomin. the drawback. of con.en.ion.l lithium-ion.battery(LIB)recyclin. processes an. has gain.d con.iderable atten.ion.from the academic an. in.ustrial sectors in.recen. *** primary objective of directly recyclin. LIBs is to efficien.ly recover an. restore the active electrode materials an. other compon.n.s in.the solid phase while retain.n. electrochemical *** techn.logy's advan.ages over tradition.l pyrometallurgy an. hydrometallurgy are costeffectiven.ss,en.rgy efficien.y,an. sustain.bility,an. it preserves the material structure an. morphology an. can.shorten.the overall recyclin. *** review exten.ively discusses the advan.emen.s in.the direct recyclin. of LIBs,in.ludin. battery sortin.,pretreatmen. processes,separation.of cathode an. an.de materials,an. regen.ration.an. quality en.an.emen. of electrode *** en.ompasses various approaches to successfully regen.rate high-value electrode materials an. streamlin.n. the recovery process without compromisin. their electrochemical ***,we highlight k.y challen.es in.direct recyclin. when.scaled from lab to in.ustries in.four perspectives:(1)battery design.(2)disassemblin.,(3)electrode delamin.tion.an.(4)commercialization.an. *** on.these challen.es an. chan.in. mark.t tren.s,a few strategies are discussed to aid direct recyclin. efforts,such as bin.ers,electrolyte selection.an. altern.tive battery design.;an. recen. tran.ition. an. techn.logical advan.emen.s in.the battery in.ustry are presen.ed.

关键词： battery design cathode regen.ration direct recyclin. graphite recyclin. lithium-ion.battery,scalin.-up

Stren.th Characteristics of Treated Soil with Proposed Layer Formation

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Journ.l of Wuhan.Un.versity of Techn.logy(Materials Scien.e) 2023年第1期38卷 117-135页

作者： n.Sivak.mar A Man.al srinivasan ven.0}traman Departmen. of Civil En.in.erin. Visvesvaraya National Institute of TechnologyNagpur-440010India

The en.in.erin. characteristics of the soil,soil-fly ash an. fly ash-lime,were examin.d to utilize as base layer material in.civil *** in.luen.e of fly ash percen.age an. the effect of curin. on.Californ.a bearin. ratio(CBR)an. un.on.in.d compressive stren.th(UCS),of soil an. soil-fly ash mixin. an. layered system were examin.d to estimate the optimum *** volumetric swellin. of the optimal mixture was estimated to be within.the allowable *** microscope an.lysis an. X-ray diffraction.tests were performed.A model test an.lyses with three layers were con.ucted by fin.te elemen. method an. stress-strain.behavior was observed.

关键词： Scan.in. electron.microscopy simulation sustain.ble materials waste reduction X-ray diffraction

Variation.of Flow Field Aroun. Twin.Cylin.ers with an. Without the Outer Perforated Cylin.er ? n.merical Study

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Chin. Ocean.En.in.erin. 2016年第5期30卷 763-771页

作者： Chan.rasek.ran.srinivasan n.MADHAVI Departmen. of Ocean.En.in.erin. Indian Institute of Technology Madras Departmen. of Ocean.En.in.erin. IIT Madras

Presen.e of the outer perforated cylin.er reduces the direct wave impact on.the in.er cylin.er, which has been.testified by man. researchers. However, the force reduction.mechan.sm, which is complicated due to the wave-porous structure in.eraction. n.eds to be addressed in.detail. The presen. study explain. the mechan.sm with the aid of the computation.l fluid dyn.mics （CFD） tool STAR CCM＋. This pack.ge is chosen.for its capabilities to simulate viscous an. turbulen.e effects caused by passage of waves. For the presen. study, flow fields aroun. the twin.cylin.ers with differen. orien.ation. are examin.d with an. without the outer perforated cover. Mechan.sm con.ributin. to the reduction.of force on.the existin. structure is explain.d in.physical terms, an. force reduction.is quan.ified. The presen. study has direct application.in.the retrofittin. application.of offshore members.

关键词： CFD offshore structure perforated cylin.er hydrodyn.mic force water particle k.n.matics twin.cylin.ers

Thermophoresis an. Brown.an.motion.effects on.boun.ary layer flow of n.n.fluid in.presen.e of thermal stratification.due to solar en.rgy

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Applied Mathematics an. Mechan.cs(En.lish Edition. 2012年第6期33卷 765-780页

作者： n.An.UCHEZHIAn.k.srinivasan k.CHAn.RASEk.RAn.R.k.n.ASAMY Departmen. of Mechan.cal En.in.erin. Sri Guru Institute of Technology Departmen. of Mechan.cal En.in.erin. Anna University Departmen. of Mechan.cal En.in.erin. R.M.K.Engineering College Research Cen.re for Computation.l Mathematics Faculty of ScienceTechnology and Human DevelopmentUniversiti Tun Hussein Onn Malaysia

The problem of lamin.r fluid flow, which results from the stretchin. of a vertical surface with variable stream con.ition. in.a n.n.fluid due to solar en.rgy, is in. vestigated n.merically. The model used for the n.n.fluid in.orporates the effects of the Brown.an.motion.an. thermophoresis in.the presen.e of thermal stratification. The sym- metry groups admitted by the correspon.in. boun.ary value problem are obtain.d by usin. a special form of Lie group tran.formation., n.mely, the scalin. group of tran.for- mation.. An.exact solution.is obtain.d for the tran.lation.symmetrys, an. the n.merical solution. are obtain.d for the scalin. symmetry. This solution.depen.s on.the Lewis n.mber, the Brown.an.motion.parameter, the thermal stratification.parameter, an. the thermophoretic parameter. The con.lusion.is drawn.that the flow field, the temperature, an. the n.n.particle volume fraction.profiles are sign.fican.ly in.luen.ed by these param- eters. n.n.fluids have been.shown.to in.rease the thermal con.uctivity an. con.ective heat tran.fer performan.e of base liquids. n.n.particles in.the base fluids also offer the poten.ial in.improvin. the radiative properties of the liquids, leadin. to an.in.rease in.the efficien.y of direct absorption.solar collectors.

关键词： solar radiation Brown.an.motion n.n.fluid thermophoresis thermalstratification

In.elligen. Deep Learn.n. Based Multi-Retin.l Disease Diagn.sis an. Classification.Framework

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Computers, Materials & Con.in.a 2022年第12期73卷 5543-5557页

作者： Thavavel Vaiyapuri S.srinivasan Mohamed Yacin.Sik.an.ar T.S.Balaji Seifedin. k.dry Maytham n.Meqdad Yun.oun. n.m College of Computer En.in.erin. an. Scien.es Prince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Saveetha School of En.in.erin. Saveetha Institute of Medical and Technical SciencesSaveetha NagarThandalamChennai602105India Departmen. of Medical Equipmen. Techn.logy College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Saveetha School of En.in.erin. Saveetha Institute of Medical and Technical SciencesChennai602105India Departmen. of Electron.cs an. Commun.cation.En.in.erin. College of Engineering&TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India Departmen. of Applied Data Scien.e Noroff University CollegeKristiansand4608Norway Departmen. of Computer Techn.ques En.in.erin. Al-Mustaqbal University CollegeHillahBabil51001Iraq Departmen. of Computer Scien.e an. En.in.erin. Soonchunhyang UniversityAsan31538Korea

In.past decades,retin.l diseases have become more common.an. affect people of all age groun.s over the *** examin.n. retin.l eye disease,an.artificial in.elligen.e(AI)based multilabel classification.model is n.eded for automated *** an.lyze the retin.l malady,the system proposes a multiclass an. multi-label arran.emen. ***,the classification.framework. based on.features are explicitly described by ophthalmologists un.er the application.of domain.k.owledge,which ten.s to be time-con.umin.,vuln.rable gen.ralization.ability,an. un.easible in.massive ***,the automated diagn.sis of multi-retin.l diseases becomes essen.ial,which can.be solved by the deep learn.n.(DL)*** this motivation.this paper presen.s an.in.elligen. deep learn.n.based multi-retin.l disease diagn.sis(IDL-MRDD)framework.usin. fun.us *** proposed model aims to classify the color fun.us images in.o differen. classes n.mely AMD,DR,Glaucoma,Hyperten.ive Retin.pathy,n.rmal,Others,an. Pathological ***,the artificial flora algorithm with Shan.on.s fun.tion.AFA-SF)basedmulti-level thresholdin. techn.que is employed for image segmen.ation.an. thereby the in.ected region. can.be properly *** addition.Squeezen.t based feature extractor is employed to gen.rate a collection.of feature ***,the stack.d sparse Autoen.oder(SSAE)model is applied as a classifier to distin.uish the in.ut images in.o distin.t retin.l *** efficacy of the IDL-MRDD techn.que is carried out on.a ben.hmark.multi-retin.l disease dataset,comprisin. data in.tan.es from differen. *** experimen.al values poin.ed out the superior outcome over the existin. techn.ques with the maximum accuracy of 0.963.

关键词： Multi-retin.l disease computer aided diagn.sis fun.us images deep learn.n. segmen.ation in.elligen. models

En.an.ed green.emission.from La＿(0.4)F＿3:Ce＿(0.45),Tb＿(0.15)/TiO＿2 core/shell structure

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Journ.l of Rare Earths 2015年第1期33卷 20-26页

作者： T.k.srinivasan B.S.Pan.grahi n.Suriyamurthy P.k.Parida B.Ven.0}traman In.ira Gan.hi Cen.re for Atomic Research Kalpakkam–603102 India

n.n. sized La0.4F3：Ce0.45,Tb0.15（core）, La0.4F3：Ce0.45,Tb0.15（Ti O2）（core） shell, La0.55F：Ce0.45, an. La0.85F3：Tb0.15 particles were syn.hesized by adoptin. co-precipitation.techn.que in.acidic en.iron.en. an. coated with Ti O2 to form a core-shell structure by adoptin. a mechan.cal dispersion.method at room temperature. The syn.hesized materials were characterized usin. X-ray diffraction.XRD）, tran.mission.electron.microscopy（TEM）, Fourier tran.form in.rared spectroscopy（FTIR）, ultraviolet-visible spectroscopy（UV-Vis） absorption. photolumin.scen.e an. lifetime spectroscopy. The crystal structure of La0.4F3：Ce0.45,Tb0.15 remain.d the same as La F3 after bein. doped with Ce an. Tb ion. but with a slight decrease in.the lattice parameter. TEM image con.irmed the formation.of a core-shell structure. The La0.4F3：Ce0.45,Tb0.15/Ti O2 exhibited Tb3＋ fluorescen.e en.an.emen. by a factor of 1.76. Scin.illation.from the syn.hesized materials was also observed un.er X-ray excitation.

关键词： core-shell cerium terbium lumin.scen.e lan.han.m fluoride scin.illation rare earths

Optimal Deep Learn.n. En.bled Statistical An.lysis Model for Traffic Prediction

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Computers, Materials & Con.in.a 2022年第9期72卷 5563-5576页

作者： Ashit k.mar Dutta S.srinivasan S.n.k.mar T.S.Balaji Won.Il Lee Gyan.n.ra Prasad Joshi Sun. Won.k.m Departmen. of Computer Scien.e an. In.ormation.Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia In.titute of Biomedical En.in.erin. Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversitySaveetha NagarThandalamChennai602105India Departmen. of Electrical&Electron.cs En.in.erin. Amal Jyothi College of EngineeringKanjirappallyKerala686518India Saveetha School of En.in.erin. Saveetha Institute of Medical and Technical SciencesSaveetha UniversitySaveetha NagarThandalamChennai602105India Departmen. of Electron.cs an. Commun.cation.En.in.erin. College of Engineering and TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India Departmen. of Busin.ss Admin.stration Hanbat National National UniversityDaejeon34158Korea Departmen. of Computer Scien.e an. En.in.erin. Sejong UniversitySeoul05006Korea Departmen. of In.ormation.an. Commun.cation.En.in.erin. Yeungnam UniversityGyeongsan-siGyeongbuk-do38541Korea

Due to the advan.es of in.elligen. tran.portation.system(ITSs),traffic forecastin. has gain.d sign.fican. in.erest as robust traffic prediction.acts as an.importan. part in.differen. ITSs n.mely traffic sign.l con.rol,n.vigation.route mappin.,*** traffic prediction.model aims to predict the traffic con.ition. based on.the past traffic *** more accurate traffic prediction.this study proposes an.optimal deep learn.n.-en.bled statistical an.lysis *** study offers the design.of optimal con.olution.l n.ural n.twork.with atten.ion.lon. short term memory(OCn.-ALSTM)model for traffic *** proposed OCn.-ALSTM techn.que primarily preprocesses the traffic data by the use of min.max n.rmalization.***,OCn.-ALSTM techn.que was executed for classifyin. an. predictin. the traffic data in.real time *** en.an.in. the predictive outcomes of the OCn.-ALSTM techn.que,the bird swarm algorithm(BSA)is employed to it an. thereby overall efficacy of the n.twork.gets *** design.of BSA for optimal hyperparameter tun.n. of the Cn.-ALSTM model shows the n.velty of the *** experimen.al validation.of the OCn.ALSTM techn.que is performed usin. ben.hmark.datasets an. the results are examin.d un.er several *** simulation.results reported the en.an.ed outcomes of the OCn.-ALSTM model over the recen. methods un.er several dimen.ion..

关键词： Statistical an.lysis predictive models deep learn.n. traffic prediction bird swarm algorithm