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DTIC ADA546658: Molecular Dynamics Simulation of the Kinetic Reaction between Ni and Al Nanoparticles PDF

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Preview DTIC ADA546658: Molecular Dynamics Simulation of the Kinetic Reaction between Ni and Al Nanoparticles

REPORT DOCUMENTATION PAGE Form Approved OMB NO. 0704-0188 The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggesstions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA, 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any oenalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 1. REPORT DATE (DD-MM-YYYY) 2. REPORT TYPE 3. DATES COVERED (From - To) New Reprint - 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER “Molecular Dynamics Simulation of the Kinetic Reaction W911NF-09-1-0214 between Ni and Al Nanoparticles” 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 611102 6. AUTHORS 5d. PROJECT NUMBER B. Henz, T. Hawa, and M.R. Zachariah 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAMES AND ADDRESSES 8. PERFORMING ORGANIZATION REPORT NUMBER University of Maryland - College Park Research Admin. & Advancement University of Maryland College Park, MD 20742 -5141 9. SPONSORING/MONITORING AGENCY NAME(S) AND 10. SPONSOR/MONITOR'S ACRONYM(S) ADDRESS(ES) ARO U.S. Army Research Office 11. SPONSOR/MONITOR'S REPORT P.O. Box 12211 NUMBER(S) Research Triangle Park, NC 27709-2211 55832-EG.6 12. DISTRIBUTION AVAILIBILITY STATEMENT Approved for public release; federal purpose rights 13. SUPPLEMENTARY NOTES The views, opinions and/or findings contained in this report are those of the author(s) and should not contrued as an official Department of the Army position, policy or decision, unless so designated by other documentation. 14. ABSTRACT Molecular dynamics simulations are used to simulate the energetic reaction of Ni and Al particles at the nanometer scale. The effect of particle size on reaction time and temperature for separate nanoparticles has been considered as a model system for a powder metallurgy system. Coated nanoparticles in the form of Ni-coated Al nanoparticles and Al-coated Ni nanoparticles are also analyzed as a model for nanoparticles embedded within a matrix. The differences in melting temperature and phase 15. SUBJECT TERMS Reactive sintering, nanoparticles, simulation 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF 15. NUMBER 19a. NAME OF RESPONSIBLE PERSON a. REPORT b. ABSTRACT c. THIS PAGE ABSTRACT OF PAGES Michael Zachariah UU UU UU UU 19b. TELEPHONE NUMBER 301-405-4311 Standard Form 298 (Rev 8/98) Prescribed by ANSI Std. Z39.18 Report Title “Molecular Dynamics Simulation of the Kinetic Reaction between Ni and Al Nanoparticles” ABSTRACT Molecular dynamics simulations are used to simulate the energetic reaction of Ni and Al particles at the nanometer scale. The effect of particle size on reaction time and temperature for separate nanoparticles has been considered as a model system for a powder metallurgy system. Coated nanoparticles in the form of Ni-coated Al nanoparticles and Al-coated Ni nanoparticles are also analyzed as a model for nanoparticles embedded within a matrix. The differences in melting temperature and phase change behavior, e.g., the volumetric expansion of Al between Al and Ni, are expected to produce differing results for the coated nanoparticle systems. For instance, the volumetric expansion of Al upon melting is expected to produce large tensile stresses and possibly rupture in the Ni shell for Ni-coated Al. Simulation results show that the sintering time for separate and coated nanoparticles is nearly linearly dependent on the number of atoms or volume of the sintering nanoparticles. We have also found that nanoparticle size and surface energy are important factors in determining the adiabatic reaction temperature for both systems at nanoparticle sizes of less than 10 nm in diameter. Molecular dynamics simulations are used to simulate the energetic reaction of Ni and Al particles at the nanometer scale. The effect of particle size on reaction time and temperature for separate nanoparticles has been considered as a model system for a powder metallurgy system. Coated nanoparticles in the form of Ni-coated Al nanoparticles and Al-coated Ni nanoparticles are also analyzed as a model for nanoparticles embedded within a matrix. The differences in melting temperature and phase change behavior, e.g., the volumetric expansion of Al between Al and Ni, are expected to produce differing results for the coated nanoparticle systems. For instance, the volumetric expansion of Al upon melting is expected to produce large tensile stresses and possibly rupture in the Ni shell for Ni-coated Al. Simulation results show that the sintering time for separate and coated nanoparticles is nearly linearly dependent on the number of atoms or volume of the sintering nanoparticles. We have also found that nanoparticle size and surface energy are important factors in determining the adiabatic reaction temperature for both systems at nanoparticle sizes of less than 10 nm in diameter. REPORT DOCUMENTATION PAGE (SF298) (Continuation Sheet) Continuation for Block 13 ARO Report Number 55832.6-EG “Molecular Dynamics Simulation of the Kinetic R ... Block 13: Supplementary Note © 2009 . Published in Journal of Applied Physics, Vol. 105,124310, (2009), (4310). DoD Components reserve a royalty-free, nonexclusive and irrevocable right to reproduce, publish, or otherwise use the work for Federal purposes, and to authroize others to do so (DODGARS §32.36). The views, opinions and/or findings contained in this report are those of the author(s) and should not be construed as an official Department of the Army position, policy or decision, unless so designated by other documentation. Approved for public release; federal purpose rights JOURNALOFAPPLIEDPHYSICS105,124310(cid:1)2009(cid:2) Molecular dynamics simulation of the energetic reaction between Ni and Al nanoparticles Brian J. Henz,1 Takumi Hawa,3 and Michael Zachariah2,3,a(cid:1) 1U.S.ArmyResearchLaboratory,AberdeenProvingGround,Maryland,21005,USA 2NationalInstituteofStandardsandTechnology,Gaithersburg,Maryland,20899,USA 3DepartmentofMechanicalEngineeringandDepartmentofChemistryandBiochemistry, UniversityofMaryland,CollegePark,Maryland,20742,USA (cid:1)Received 15 September 2008; accepted 12 December 2008; published online 26 June 2009(cid:2) Molecular dynamics simulations are used to simulate the energetic reaction of Ni andAl particles at the nanometer scale. The effect of particle size on reaction time and temperature for separate nanoparticles has been considered as a model system for a powder metallurgy system. Coated nanoparticles in the form of Ni-coated Al nanoparticles and Al-coated Ni nanoparticles are also analyzed as a model for nanoparticles embedded within a matrix. The differences in melting temperatureandphasechangebehavior,e.g.,thevolumetricexpansionofAlbetweenAlandNi,are expected to produce differing results for the coated nanoparticle systems. For instance, the volumetric expansion ofAl upon melting is expected to produce large tensile stresses and possibly ruptureintheNishellforNi-coatedAl.Simulationresultsshowthatthesinteringtimeforseparate and coated nanoparticles is nearly linearly dependent on the number of atoms or volume of the sinteringnanoparticles.Wehavealsofoundthatnanoparticlesizeandsurfaceenergyareimportant factors in determining the adiabatic reaction temperature for both systems at nanoparticle sizes of less than 10 nm in diameter. © 2009 American Institute of Physics. (cid:3)DOI:10.1063/1.3073988(cid:4) I. INTRODUCTION materials, particle size has a significant effect on the proper- ties of the reaction product and the SHS reaction itself.8The Nanoparticles have interesting physical properties that simulation and analysis of nanoparticle coalescence without often vary from the bulk material. Some of these properties, the SHS reaction for like materials are extensive9–14 and in- including increased reactivity,1 are due to the high surface volve surface passivation,10 size differences,9,11 and phase area to volume ratio of nanoparticles. With that in mind change9 considerations.The analysis here includes all of the nanoparticles may provide enhanced energy release rates for previously listed concerns with an additional energy release explosive and propellant reactions.2 term from the heat of formation. There is a considerable interest in the self-propagating The focus of this paper is to use atomistic simulation to high-temperature synthesis (cid:1)SHS(cid:2) reactions of intermetallic model the reactive behavior of Ni–Al nanoparticles in vari- compounds because of the associated energy release that ous configurations. Fortunately, there have been numerous takes place3 during the alloying reaction. In addition to the efforts to determine the accurate empirical potentials for energeticreactionobservedinthesematerialsitispossibleto simulatingtheNi–Almaterialsystem.15Priorsimulationsus- produce structural materials that contain this energy release ingthesepotentialshaveinvestigatedthediffusionofNiand property. Once ignited, the SHS reaction releases a large Al atoms,15 point-defect concentrations in NiAl,16 and amount of energy in a short period of time. One significant plasticity17inadditiontomanyothermechanicalandchemi- differencebetweenSHSandtypicalcombustionprocessesis cal properties. These efforts have primarily focused on bulk thatthereactantsandproductsareconfinedtothecondensed materials rather than nanoparticle systems,18 even though state.4 The SHS process has many potential applications there are many manufacturing processes that produce nano- whereheatgenerationisrequiredandoxygenisnotavailable metersizedpowdersforSHSreactions.19Forthissimulation or gaseous products are not desirable. These include alloy effort we have chosen a set of embedded atom method formation, net-shape processing, propellants, and as initia- (cid:1)EAM(cid:2) parameters that reproduce reasonably well the prop- tors. One of the compounds formed from the SHS reaction, erties of Ni,Al, and NiAl in the temperature range of inter- and studied here, is NiAl or nickel aluminide. NiAl is an est. important alloy because of its desirable high temperature strength and oxidation resistance5 and the high energy of formation.6 Recently Weihs and co-workers7 also used the NiAl nanolaminate systems in applications of reactive weld- II. SIMULATIONAPPROACH ing. Notsurprisinglysincethereactioninvolvessolidstarting In this work we employ classical molecular dynamics (cid:1)MD(cid:2) with an EAM interatomic potential to study the SHS a(cid:2)Author to whom correspondence should be addressed. Electronic mail: reaction. The EAM is used because of its accuracy and ca- [email protected]. pabilitytoscaleuptomaterialsystemswithover106 atoms. 0021-8979/2009/105(cid:2)12(cid:1)/124310/10/$25.00 105,124310-1 ©2009AmericanInstituteofPhysics 124310-2 Henz,Hawa,andZachariah J.Appl.Phys.105,124310(cid:2)2009(cid:1) The MD simulations are compared with thermodynamic TABLEI. Changeinsurfaceenergyvsnanoparticlesize. analyses in order to provide validation of the simulation re- Nanoparticleradius (cid:2)E sults and assess the expected energy release. surf (cid:1)nm(cid:2) (cid:1)kJ/mol(cid:2) The MD simulation was conducted using the LAMMPS software package.20 For the Ni–Al interactions the Finnis– 3 (cid:1)18.35 Sinclair EAM potential21 with parameters from Angelo 5 (cid:1)11.41 et al.22 was used.The Finnis–Sinclair EAM potential allows 10 (cid:1)6.17 for nonsymmetric embedding potential terms, potentially providing improved accuracy for metallic alloys.23 In addi- tion to the parameters for NiAl from Angelo et al.22 other H =(cid:1)0.5(cid:2)(cid:1)H (cid:2)+(cid:1)0.5(cid:2)(cid:1)H +H (cid:2) reac Al,fusion Al,600 K Ni,600 K authors have also developed parameters for the Ni–Al =11.85 kJ/mol. (cid:1)3(cid:2) system16 that may also be described by using the Finnis– Sinclair EAM. This enthalpy result includes the enthalpy of solid Ni and Threeprimarynanoparticlesizesconsideredinthiswork liquid Al.6 The Al nanoparticle is assumed to be liquid be- from smallest to largest are nanoparticles with 1289, 5635, cause for small nanoparticles the melting temperature is and 36523 atoms each, which correspond approximately to known to be appreciably below the bulk melting 3,5,and10nm,respectively.Therangeofsizeswaschosen temperature.24 Additionally, for the EAM potential used because it represents nanoparticles that may be produced in here22 the aluminum is liquid for these nanoparticle sizes at the laboratory and which offers reasonable computational 600 K. The choice of initial temperature will have a nearly time to conduct parametric studies. For the largest system lineareffectontheadiabatictemperatureaslongasthetem- studied, the 10 nm diameter nanoparticle energetic reaction peratureisbetweenthemeltingtemperatureoftheAlandNi simulation requires (cid:5)2 days and 64 processor cores to com- nanoparticles. This linear effect has been observed in plete a few nanoseconds of simulated time on 3.0 GHZ INTEL experiments25 and is a reasonable assumption so long as the WOODCREST processors. heat capacities of the solid phases of Ni and NiAl are rela- tively insensitive to temperature in the ranges studied. For the products of the SHS process the enthalpy calcu- lationmusttakeintoaccountthecontributionsfromthemelt- III. THERMODYNAMICANALYSIS OF SEPARATE ing of the nickel and the NiAl nanoparticle, enthalpy of for- NANOPARTICLES mation for the NiAl alloy, and changes in surface energy. The separate nanoparticle system is used as a model for The first of these, the enthalpies of melting for Ni and NiAl, powder metallurgy systems where Ni and Al particles are is experimentally determined to be 17.2 and 31.4 kJ/mol, compressed into a structural component. In addition to me- respectively. The enthalpy of mixing for Ni andAl has gar- chanical properties, the structural component will contain nered close scrutiny in the experimental community with a stored energy for future release through a SHS reaction. A wide range of reported values. The enthalpy of formation thermodynamicanalysisoftheSHSreactionfortheseparate that is used here is approximately in the middle of the re- NiandAlnanoparticlesystemsisusedheretodeterminethe ported values at about (cid:1)65 kJ/mol.6,26,27 expected trends and data points for simulation validation. In The last contribution to the enthalpy of the products re- thethermodynamicanalysisweareinterestedindetermining sults from the change in surface energy due to the reduced the system parameters of the Ni–Al nanoparticle system that total surface area of the combined nanoparticle.28 The con- contribute to the combustion temperature and reaction time. tribution to the change in system energy from the change in Here we have assumed an adiabatic process so that energy surface area is given as released to the surroundings can be ignored. This is a good (cid:2)E =(cid:3) a −(cid:1)(cid:3) a +(cid:3) a (cid:2). (cid:1)4(cid:2) approximation since the reaction occurs on relatively short surf NiAl NiAl Ni Ni Al Al timescalesandthenanoparticlesareexpectedtobeincluded InEq.(cid:1)4(cid:2),a ,a ,anda arethesurfaceareaoftheNiAl, NiAl Ni Al inamuchlargersystemwheretheoverallsurfacetovolume Ni, and Al nanoparticles, respectively. For the 3, 5, and 10 ratio is small, limiting convective and radiative heat loss. nm Al nanoparticles the reactant surface area is computed The validity of this assumption is explored in Secs. V and from the Gibbs surface29 as 36.32, 98.17, and 343.7 nm2, VI. The SHS reaction of an equimolar Ni andAl mixture is respectively. For the associated Ni nanoparticles the surface written as area is 27.15, 73.59, and 257.87 nm2, respectively. The sur- 0.5Ni+0.5Al→Ni Al . (cid:1)1(cid:2) faceenergyis(cid:5)1115 mJ/m2forAland2573 mJ/m2forNi 0.5 0.5 at 600 K.30 The surface area of the sintered NiAl nanopar- Inordertocomputetheadiabatictemperatureforthesynthe- ticles is 50.77, 137.18, and 480.25 nm2 for the 3, 5, and 10 sis reaction the enthalpy of the products and reactants must nm nanoparticle cases, respectively. In the experimental be equal, analysis of the free surface energy of NiAl near its melting H (cid:1)T (cid:2)=H (cid:1)T (cid:2). (cid:1)2(cid:2) point, the free surface energy has been reported as prod ad reac 0 1400 mJ/m2.31 The approximate change in energy versus Assuming that the reaction begins with the reactants at 600 nanoparticle size is tabulated in Table I. In Table I the trend K, above the simulated melting temperature of theAl nano- is for a lower surface energy contribution to the reaction as particles, the enthalpy of the reactants is computed as the nanoparticle size increases. Intuitively, one may expect 124310-3 Henz,Hawa,andZachariah J.Appl.Phys.105,124310(cid:2)2009(cid:1) TABLEII. Computedadiabatictemperaturevsnanoparticleradiusinclud- ingcontactofflatsurfacesorinfinitelysizedspheres. Nanoparticleradius T ad (cid:1)nm(cid:2) (cid:1)K(cid:2) FIG.1. (cid:1)Coloronline(cid:2)IllustrationofsinteringprocessshowingtheliquidAl nanoparticlefirstcoatingthesolidNinanoparticleandthencompletealloy- 3 2115 ingaftertheNinanoparticlehasmelted. 5 1920 10 1772 (cid:4) 1599 coating the solid Ni nanoparticle while forming some Ni–Al bonds on the surface (cid:3)(cid:1)b(cid:2)–(cid:1)d(cid:2)(cid:4). Next, the alloying process proceeds with the Ni nanoparticle being heated above its thisbecausethesurfaceareatovolumeratioisalsodecreas- meltingpointandbecomingliquidsothatmixingmayoccur ing with increasing particle size and therefore has less influ- (cid:1)e(cid:2). The formation of Ni–Al bonds beyond the interfacial enceonthesinteringprocess.Withtheenthalpyofformation surfacerequiresdiffusionofAlintotheNinanoparticleorNi forNiAlaround(cid:1)65kJ/mol,thesurfaceenergycontribution into the liquid Al. Either of these processes is possible but tothechangeinenthalpyforcoalescenceof10nmdiameter since diffusion is a relatively slow process in solid materials nanoparticles is less than 10% of the total enthalpy change. it is expected that the Ni nanoparticle must melt before the This means that even at relatively small nanoparticle sizes, coalescence process proceeds appreciably. e.g., 10 nm, the effect of nanoparticle size on energy release The nanoparticle sintering process is driven by two is minimal. sources of energy as previously discussed. The first of these With the preceding discussion it is possible to take into is a decrease in surface area that lowers the total surface account many of the sources of enthalpy change in the reac- energy of the system.This energy release mechanism is also tion products including phase and surface area changes.The observed in the sintering of homogeneous material systems enthalpy of the products is now estimated as (cid:6) such as silicon nanoparticles.28,33 The second source of en- H =H +(cid:2)H + Tad C (cid:1)T(cid:2)dT ergy is from the reactive synthesis that occurs initially at the prod form,NiAl surf p,NiAl interface between the nanoparticles and later throughout the 298 K entire system. The energy release from the surface sintering +H . (cid:1)5(cid:2) melt,Ni isproportionaltothesurfaceareaoftheNinanoparticlethat The heat capacity of solid and liquid NiAl is given by is coated byAl and in the whole system to the total number Kubaschewski.32 For the 3 nm case, assuming the NiAl of Ni and Al atoms. Additionally, with the temperature in- nanoparticle melting temperature to be about 1350 K or the crease there is a decrease in the viscosity of the liquid alu- melting point of a similarly sized Ni nanoparticle, it is pos- minum that will affect the predicted coalescence time. sible to compute the adiabatic reaction temperature (cid:1)Table The coalescence of nanoparticles in the liquid and solid II(cid:2).NoticeinTableIIthatifnosurfaceenergycontributionis phases has been examined extensively.9–11 These studies are considered, i.e., infinitely large spheres, the final adiabatic primarily concerned with the coalescence of two liquid or temperature is computed to be 1599 K. In the simulation two solid nanoparticles. The analysis of the Ni–Al system section we will observe that these results are reasonable and requires considering the coalescence of a liquidAl nanopar- accurately predict the simulated increase in temperature at- ticleandasolidNinanoparticle.Lewisetal.9consideredthe tributable to the contribution from the surface energy. coalescenceofaliquidandasolidgoldnanoparticle.Thisis similar to the situation here except that the material system IV. THE COALESCENCE PROCESSES considered was homogeneous. In Ref. 9, the authors were able to simulate two phases ForNiandAlnanoparticlestheSHSreactionconsistsof occurring simultaneously for a single material by choosing two processes, namely, coalescence and alloying. In this the size of each nanoparticle such that at a specific tempera- work we have considered the coalescence of a two nanopar- ture the phase of the nanoparticles is different. Lewis found ticlesystemwithanAlandaNinanoparticlewithanatomic that coalescence proceeded in two stages. First, the contact ratio of unity. A complete SHS reaction of this system will areawasmaximized,andsecond,“sphericization”tookplace result in a single NiAl nanoparticle. The MD simulations driven by surface diffusion. The first stage is much faster used to work model adiabatic conditions with a constant than the second and is very similar to the process observed number of atoms and total system energy. The purpose of here where the Al nanoparticle maximizes the contact area thesesimulationsistoanalyzetheeffectofnanoparticlesize on sintering time, adiabatic combustion temperature, and to andpartiallycoatstheNinanoparticle.Inthiscasethereisan visualize the process. The assumed process is illustrated in addeddrivingforceinadditiontothesurfaceenergy,specifi- Fig. 1. In Fig. 1 the nanoparticles are initially in contact at a cally the energy release in forming of Ni–Al bonds as com- point (cid:1)a(cid:2) and theAl nanoparticle is larger than the Ni nano- pared to the Al–Al and Ni–Ni bonds. During the second particle because of the longerAl–Al bond length.The simu- stage the atoms in the two nanoparticles diffuse and rear- lations are initialized at 600 K so that theAl nanoparticle is range until the system becomes a single spherical nanopar- liquidandtheNinanoparticleissolid.InFig.1thesintering ticle.ThisstageisdrivenstronglybytheformationofNi–Al process proceeds with the liquid Al nanoparticle initially bonds and is expected to occur on a much shorter time scale 124310-4 Henz,Hawa,andZachariah J.Appl.Phys.105,124310(cid:2)2009(cid:1) 2a 2m)500 Nickel Al r n Aluminum Al θ Ni a(400 D e r r A Ni ce300 a v rf vAl Su200 Ni d e s FIG.2. Illustrationofparametersusedinanalyticalmodelofreactivecoa- o100 p lescenceofNiandAlnanoparticles. x E 0 0 2 4 6 8 10 thanfortwonanoparticlesofthesamematerial.Theanalyti- (a) CentertoCenterDistance(nm) cal model and MD simulation results shown in Secs. V and 650 VI will explore this assumption. ) 2m n a(600 e V.PHENOMENOLOGICALMODELOFNANOPARTICLE Ar REACTIVE SINTERING e c a550 rf Togainfurtherinsightwehavedevelopedaphenomeno- u S logical model for the reactive sintering of Ni and Al nano- d particles. The model includes energy release from surface se500 o p energy, bond formation, and viscous dissipation through de- x E formation. Frenkel34 developed a model for the coalescence 450 0 2 4 6 8 10 of two homogeneous nanoparticles; however his model did (b) CentertoCenterDistance(nm) not account for any phase change, kinetic sintering, or het- erogeneous materials. Here we extended Frenkel’s model FIG.3. (cid:1)a(cid:2)PlotofexposedNiandAlnanoparticlesurfaceareasasafunc- thatconsidersthecoalescenceoftwoliquiddropstoconsider tionofdistancebetweennanoparticlecenters.(cid:1)b(cid:2)Plotoftotalexposedsur- face area as a function of distance between nanoparticle centers. These the coalescence of a liquid and a solid drop with reactive resultsassumeaNinanoparticleofradius4.53nmandanAlnanoparticleof synthesis. 5.23 nm. Notice that the total exposed surface area is monotonically de- The analytical model is initialized with the Al and Ni creasing,indicatingthatthesurfaceenergyisalsodecreasingmonotonically. nanoparticles in contact at a point. The distance from nano- particle center to center is equal to the sum of the respective E =(cid:3)s S +(cid:3)l S . (cid:1)6(cid:2) surf Ni Ni,exposed Al Al,exposed radii, denoted as D in Fig. 2. The sintering process initially proceeds by the liquid Al nanoparticle coating the solid Ni The exposed area of the Ni nanoparticle can be written as nanoparticle,asillustratedinFig.1.Duringthisphaseofthe S =S −2(cid:6)r v =4(cid:6)r2 −2(cid:6)r v , (cid:1)7(cid:2) Ni,exposed Ni Ni Ni Ni Ni Ni sintering process, two sources of energy release are occur- ring. The first of these is related to the decrease in surface where area and proportional to the respective surface tension val- v =r (cid:3)1−cos(cid:1)(cid:5)(cid:2)(cid:4). (cid:1)8(cid:2) Ni Ni ues. The second source of energy release is from the forma- tion of Ni–Al bonds at the interfacial region. Figure 2 is an Initially during the sintering process the Ni nanoparticle is illustration of the geometric parameters used to model the assumed to remain in the solid phase, thus maintaining a coalescence time. constantradius.Thisassumptionisreasonablebecauseofthe InFig.2,2aisthediameterofacirclecircumscribedby higher melting temperature of the Ni nanoparticle. the contact circumference of the two nanoparticles. v and The exposed surface area of theAl nanoparticle is writ- Al v are the distances from the Al and Ni nanoparticle sur- ten as Ni facestothesurfaceofthecontactcircle,respectively.(cid:5)isthe S =S −2(cid:6)r v =4(cid:6)r2 −2(cid:6)r v , (cid:1)9(cid:2) Al,exposed Al Al Al Al Al Al contact angle as measured from the center of the Ni nano- particleandrangesfrom0to(cid:6)radians.Inordertomodelthe where (cid:7) changeinenergyofthecoalescingnanoparticlesystem,three v =r − r2 −a2, (cid:1)10a(cid:2) energy change mechanisms must be considered. These Al Al Al mechanismsareenergyreleaseduetochangeinsurfacearea, (cid:7) a= v (cid:1)2r −v (cid:2). (cid:1)10b(cid:2) energyreleaseduetoenergeticreactionsattheinterface,and Ni Ni Ni energy loss due to viscous dissipation. The rate of energy TheradiusoftheAlnanoparticleiscomputednumericallyby change due to all three must balance at all times. using conservation of volume for the Al nanoparticle. The The first energy term considered, namely, the surface exposed surface area of each nanoparticle versus the center- energy of the nanoparticle system, is simply the surface ten- to-centerdistanceisplottedinFig.3(cid:1)a(cid:2).Noticethatalthough siontimesthetotalexposedsurfacearea.Thisenergytermis thesurfaceareaoftheAlnanoparticleincreasesduringmost writtenasasumoftheAlandNinanoparticlecontributions. ofthecoalescenceprocessthecombinedtotalsurfaceareaof 124310-5 Henz,Hawa,andZachariah J.Appl.Phys.105,124310(cid:2)2009(cid:1) 300 620 600 Surf.Area,MD 250 Surf.Area,Model 2m) 2m)580 n200 n ( ( ea ea560 Ar150 Ar ct e540 a c ont100 urfa520 C S 50 500 00 2 4 6 8 10 4800 20 40 60 80 CentertoCenterDistance(nm) Time(ps) FIG.4. Contactorinterfaceareaasafunctionofcenter-to-centerdistance. FIG.5. TotalsystemsurfaceareavstimefrommathematicalmodelandMD The contact area is increasing as the nanoparticles move closer together simulations for the sintering of 10 nm diameter nanoparticles, where the (cid:1)righttoleftonx-axis(cid:2). finalsurfaceareaoftheNiAlnanoparticleis(cid:5)480 nm2. (cid:6) (cid:8) (cid:9) the Ni and Al nanoparticles decreases monotonically dE rAl,0 8 dD 2 throughout the entire coalescence process. In Fig. 3 the viscous=2(cid:10) (cid:9)2(cid:1)4(cid:6)r2(cid:2)dr= (cid:6)r3 (cid:10) , (cid:1)14(cid:2) dt 3 Al,0 dt center-to-centerdistanceneverreacheszerobecausethecoa- 0 lescence is considered complete once the Ni nanoparticle is where (cid:10)is the viscosity of liquid aluminum and r is the Al,0 completely enveloped by theAl nanoparticle. initial radius of theAl nanoparticle. The second source of energy release, namely, the reac- By conservation of energy the rate of coalescence can tive synthesis term, is considered by assuming a constant now be computed, surface density of the Ni nanoparticle and the transient con- dE dE dE tact area of the Ni–Al interface, viscous= surf+ reactive, (cid:1)15a(cid:2) dt dt dt E =(cid:7) a V . (cid:1)11(cid:2) (cid:8) (cid:9) reactive Ni,surface interface bond energy 8 dD 2 d (cid:6)r3 (cid:10) = (cid:3)(cid:3)s S +(cid:3)l S (cid:4) Thesurfacedensityterm(cid:7) isproportionaltothenum- 3 Al,0 dt dt Ni Ni,exposed Al Al,exposed Ni,surface berofNi–Albondsatthecontactinterface.Thesurfaceden- d sityandbondenergytermsVbond energycanbecombinedinto + dt(cid:3)2(cid:8)(cid:6)vNirNi(cid:4). (cid:1)15b(cid:2) asingleconstantthatdefinestheenergyreleaseperunitarea of interface, AfterwritingEq.(cid:1)15b(cid:2)intermsofd(cid:5)/dtandsimplifyingthe right and left hand sides we find that Eq. (cid:1)15b(cid:2) is only lin- (cid:8) =(cid:7) V . (cid:1)12(cid:2) early dependent on d(cid:5)/dt. Even with this simplification, Eq. density Ni,surface bond energy (cid:1)15b(cid:2) is most easily solved numerically using an iterative solver. In order to solve Eq. (cid:1)15b(cid:2) we need some physical The interfacial contact area is a function of the distance be- properties of Al, Ni, and NiAl. The dynamic viscosity of tween nanoparticle centers (cid:3)Fig. 4(cid:4). The interfacial area in- bulk molten Al at the melting temperature is about (cid:10)=1.3 creasesmonotonicallyupuntiltheNinanoparticlesurfaceis (cid:11)10−3 Pas.35 Based on the comparison of the configura- completelycovered.Thisresultisexpectedsincethereactive tional energy in MD simulations of separate nanoparticles energy term is negative, or releases energy during the entire and Al-coated Ni nanoparticles the energy release per unit process, in addition to the minimization of surface energy area (cid:8) is estimated to be 20.7 eV/nm2.This number is that is driven by the surface tension of Ni andAl.The inter- density computed by subtracting the system energy of an Al-coated facial area is written as Ni nanoparticle system from the energy of a system with separatenanoparticlesanddividingbytheinterfacialsurface ainterface=2(cid:6)vNirNi, (cid:1)13(cid:2) area.This method results in the net change in energy during coatingoftheNisurfacewithAlsincesomeAl–Albondsare where v is a function of (cid:5)as given in Eq. (cid:1)8(cid:2). lost during the coating process while some Ni–Al bonds are Ni The third energy term represents the viscous dissipation formedattheinterface.BynumericallysolvingEq.(cid:1)15b(cid:2)we due to deformation of theAl nanoparticle. This viscous dis- areabletocomputethecontactangle(cid:5)asafunctionoftime sipation is a function of the viscosity in the liquidAl nano- andrelatethistototalexposedsurfaceareaofthecoalescing particle and the rate of deformation. The extent of the vis- nanoparticles. This result is presented in Fig. 5 along with cous flow can be specified by the decrease in distance the comparison to the MD simulation results. between the center of each drop and the surface of contact Although qualitatively the results in Fig. 5 show similar with the Ni nanoparticle. A velocity gradient (cid:9)can be de- trends the absolute rate of coalescence is slightly under pre- fined as (cid:3)(cid:1)d/dt(cid:2)D(cid:4)/r . The energy dissipated in the whole dicted by the model. This difference can be attributed to the Al body per unit time is therefore approximately obvious simplicity of the model and more specifically to the 124310-6 Henz,Hawa,andZachariah J.Appl.Phys.105,124310(cid:2)2009(cid:1) 2400 2200 2000 K)1800 ( FIG.6. (cid:1)Coloronline(cid:2)CrosssectionalviewfromMDsimulationsofNi/Al e1600 r nanoparticlesinteringprocessshowingthestartofthesecondstageofcoa- atu1400 lmesacxeinmciezawtiohne.reAdluifmfuinsiuomnaistotmhesadrreivbilnugefaonrdceniacskeolpaptoosmedsatroecreodn.tact area per1200 PredictedTad m e1000 T Al ,Ni difficulty in obtaining accurate material parameters. For in- 800 Al1289,Ni1289 5635 5635 stance, it is difficult to compare the viscosity of a nanopar- 600 Al36523,Ni36523 ticletothebulkmaterial,12andsincethecoalescencetimeis 4000 500 1000 1500 linearly dependent on the viscosity a change in viscosity is Time(ps) directly proportional to a change in modeled coalescence FIG.8. (cid:1)Coloronline(cid:2)Temperaturevstimeinthesinteringofnanoparticles time.Additionally, the energy release per unit area term as- withaNi:Alratioof1:1.Thesubscriptsinthelegendrefertothenumberof sumes that the net change in energy due to the addition of atomsofeachmaterialandcorrespondtonanoparticlesofdiameterof(cid:5)3, Ni–Al bonds at the interface is a constant value. This is 5, and 10 nm. The color coded dashed lines are the computed adiabatic likely not completely accurate since fewerAl bonds must be temperaturesfromthethermodynamicanalysis.Theblackdashedlineisthe predictedtemperatureforcoalescenceofbulkAlandNi. brokentoformnewNi–Albondsduringtheinitialcontactof the nanoparticles. However, the deviation in this energy re- lease term is likely to be minimal. The deviation of the Ni–Al bond formation. This period lasts about 50 ps in this model time from the simulation results at about 50 ps is due simulation,asnotedinFigs.6and7.Betweenstages1and2 to the switch from stage 1 to stage 2 in the kinetic coales- the driving forces associated with the surface energy are cenceprocess,asdescribedbyLewisetal.9Asdescribedby counteracted by a resistance to flow in the Al nanoparticle, Lewis, during stage 2, surface diffusion is the predominant causing the coalescence process to slow down dramatically. factorincontinuedcoalescenceandisamuchslowerprocess During stage 2, lasting about 450 ps, the surface area is not than contact area maximization. The actual simulation re- changing so that energy release from the surface energy sults, as compared with the illustration in Fig. 1, of the ob- terms has ceased to contribute to the change in system po- served coalescence process are given in Fig. 6. tential energy. The subsequent energy release is entirely at- In Fig. 6 each of the steps in the coalescence process is tributabletotheformationofNi–Albonds.Thisstagelastsa shown with plots from a MD simulation of the coalescence much longer time than the initial nanoparticle coalescence of 10 nm diameterAl and Ni nanoparticles. The correlation stage and is governed by the material diffusion coefficients. ofthesinteringstagestothereactiontemperatureandtimeis Initially at stage 2 the Ni nanoparticle is still solid and the illustratedinFig.8forthesinteringofseparate10nmdiam- formation of Ni–Al bonds is only possible by Al diffusing eter nanoparticles. In the initial step the liquid Al nanopar- intotheNicoreorNionthesurfaceofthecoremeltingand ticle, blue atoms in Fig. 6, has melted and is spherical in diffusingawayfromtheinterface.Thisprocessproceedsun- shape.ThesolidNinanoparticle,redatoms,haslargefaceted til the Ni core has reached its melting point and mixing of sides and is a single crystal, a typical configuration for a the remaining Ni and Al atoms occurs more rapidly, driven crystalline nanoparticle at low temperatures. During stage 1 by the enthalpy of formation of NiAl. From stage 2 until theAl nanoparticle is attracted to the Ni surface because of complete alloying has occurred, taking (cid:5)400 ps, diffusion the dual driving forces of surface energy minimization and and mixing of Ni and Al atoms are the primary driving forces. 1800 1600 Completion(500ps+) VI. MD SIMULATION RESULTS OF SEPARATE NANOPARTICLE REACTIVITY K)1400 ( We have previously predicted the adiabatic temperature e ur1200 and sintering time for the reactive sintering process of sepa- at er1000 rateequimolarnanoparticlesofAlandNi.InFig.8,theMD mp simulationresultsfortheequimolarnanoparticlesareplotted Stage2(50ps-500ps) e 800 alongwiththecomputedadiabatictemperatureforeachcon- T sidered particle size. 600 Stage1(0-50ps) From Fig. 8 it is apparent that the predicted adiabatic 400 temperature is in close agreement with the simulated tem- 0 200 400 600 800 1000 Time(ps) perature. The variability of the computed temperature arises from the wide range of experimental results for the surface FIG.7. (cid:1)Coloronline(cid:2)Timevstemperatureplotforsinteringofseparate10 tension for liquid Al and solid Ni, the reported enthalpy of nmdiameterAlandNinanoparticles.Thevariousstagesofthecoalescence formationforNiAl,andtheassumedmeltingtemperaturefor processesaredenotedonthecurveincludingthefinalcompletionstagethat occursaftertheNinanoparticlehasmelted. theNiandNiAlmaterialsatthisscale.Eachoftheseexperi-

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