Modelling and multicriteria optimization of the web formation in a spunbond {processes [process] [Elektronische Ressource] / Héctor Raymundo Flores Cantú

Description

Modelling and MulticriteriaOptimization of the Web Formationin a Spunbond ProcessesHéctor Raymundo Flores CantúVom Fachbereich Mathematikder Technischen Universität Kaiserslauternzur Verleihung des Akademischen Grades„Doktor der Naturwissenschaften“(Doctor rerum naturalium „Dr. rer. nat.“)genehmigte Dissertation.1. Gutachter: PD Dr. habil. Karl-Heinz Küfer2. Gutachter: Prof. Dr. Andreas MeisterVollzug der Promotion: 12. Juni 2008D 386tristes....pdeornaunaojosni~tAcThomasknoGowMikiledgmenThanktswifeIMonz,wtheanatmadetoamexpresstime.melyWingratitudeantoofDr.forKarl-HeinzrequiredKmGermanuferevforeciallygivingthanmeSctheRafaelop-MicpthoortunitPy,toandwborkoptimizationinthethismeinsterestingand/orprotoject,friendstotimethefruitful,CONAwhoCYTwhen(ConsejoandNacionalmdesueredCienciaduringyAlexanderTherrer,ecnologia)Hanne,forVtheasquez,echaeloAnnomicnaterfeld,laulsuppWillyortIvinSernatheallformmemofersathescdepartmenholarshipofandITWMtooeringthealwFyraunhofertheITWMadviseforcriticism.oserinallgymewhoaourwinonderfulywtoorkplace.dIis,wenanItnottospthanktospyeciallywhoMicmorehaelmeScthishroder,steps;AbstractinThisthedissertationnondealsthewithtothedelodierenposedtmethoimizationproofntheedwcessebvformationinintinax-spuntierbosedondortproosedcessductionforpresentheoprotheductiontheofrarticialnonfabrics.

Sujets

• Mathematics

Informations

• Publié par: technische_universitat_kaiserslautern
• Publié le: 01 janvier 2008
• Nombre de lectures: 21
• Langue: English
• Poids de l'ouvrage: 2 Mo

Extrait

Modelling and Multicriteria
Optimization of the Web Formation
in a Spunbond Processes
Héctor Raymundo Flores Cantú
Vom Fachbereich Mathematik
der Technischen Universität Kaiserslautern
zur Verleihung des Akademischen Grades
„Doktor der Naturwissenschaften“
(Doctor rerum naturalium „Dr. rer. nat.“)
genehmigte Dissertation.
1. Gutachter: PD Dr. habil. Karl-Heinz Küfer
2. Gutachter: Prof. Dr. Andreas Meister
Vollzug der Promotion: 12. Juni 2008
D 386...porunaniojosnade~tristes.AcknowledgmenHanne,ofdtsWillyIswwhoanAntmemtoyexpressourmnotyAlexandergratitudeasquez,toterfeld,Dr.SernaKarl-HeinztheKoeringadviseuferyforygivingenmetothemeop-herrer,pVortunithaelyntoaulwIvorkallinersthisdepartmeninITWMterestingalwprotheject,criticism.toallthewhoCONAinCYTto(Consejois,NacionalIdespCienciayymoreTthisecnologia)ScforThomastheRafaeleceloMicnomicMonz,atholWinsuppPortMikiin,theanformandoftheabscofholarshipoptimizationandttothetheforFmeraunhoferaITWMsforrequiredoand/orerinThankgtomemafriendswmadeonderfultimewGermanorkplace.fruitful,IGowwhoanevtwhentoamthankandspeciallyeciallymMicwifehaelsueredScthanhrduringoder,time.AbstractThisdissertationinsteps;thedealsnonwiththethetoodelpdierentosedimizationmethoofprothenwedebcessformationvininatinspunx-btierondosedproortcessosedforductionthepresenprooductiontheofthearticialrfabrics.nonAandmathematicalAmowdelandofistheapprproncessaretoisalternativpresenareted.naBasedandondecisiontheThemoisdelparticulartcesswresultsofunctionskindvoflvattributesontomobofeprooptimizedaareeconsidered,linear,thoseconrelatedexwithnonthetiable.qualistrategyttyooexplorationfcontheuation,fabricpropandtothoseodescribingimatetheumericallystabilitPyfronofandtheeprodsductionpropprotocess.vigateThesetproblemsuppfallstheinmakingthecess.mpropultstrategyicriteriaappliedandadecisionpromakingproframewandork.umericalTareheted.ContentsMate.ss1.In15tro.ductiondel1Generating1.1.Moti.v.ation......for.........................e.......ce.........y.....15..1.1.2.Relatyed.Problems....Mo.......22.cess.....for...e.of...Fleece...........3.3.1..........2Fleece1.3.Multicrit.eria.and.Decision.Making..Pro.y...........2.4...............34211.4DepOutline............Deterministic.the.........3.2.1.Dep.Single.....3.2.2.Dep.Ro.....32.F.........3.3.y....6.2.The.Pro.duction.Pro.cess.11.2.1.Non.w.o36v.ens....2.3.1.Qualit.........................2.3.2.ce.Stabilit......................12172.2QualitSpunConictb.ond.Pro.cess....................18.Mathematical.del.3.1.rial.osition....................13.2.2.1.Spinn3.2iMonofgProand.W.eb.F.ormation........24.Fib.r.osition.a.Spinneret.........25.Fib13r2.2.2ositionBondingaProwcessSpinnerets.........3.2.3.the.inal.................33.Flee.Homogeneit........14.2.3.Qualit.y.of.the.Pro.cess..36.Clouds.............................iiiCONTENTS3.3.2Stripnd5.2.2.es5.1.1.ulation.uation.......Ev.....areto.....Program.........95.........n.Optimal...Distribu......39.3.3.382Ships..87.Heuristic.....h.......3.......Discrete.Error...Appro...Scalar.......ulation.78.......5.2.1..42.3.4ximationCon.trol.POptimizarameters......teger.ull.Optimization.........5.4.2.................Con.ds..........43643.4.1ximationRadialterpDistribution.Discret.ization4.4.ron.and.....70.73.Distribution..........43F3.4.2theShiftsionSyncOptimalhronization..............In.orm.......ourier...........F..44.3.5.Sensitivit.y.Analysis....Mixed.F.the.87.for.........5.4.1.Algorithm.........attern.............Nelder-Mead..44.3.5.1.The.Condition9Num.b.er..6.4.2.tin.Metho.........................4.3.Appro45a3.5.2InMoolationdel.Sensitivit.y....66.P.F.tier.ximation.Exploratio...........5.Optimization.5.1.Radial............50.3.5.3.Comparing.Analytic.vs75StoLPcormhasticforSensitiviRadialttyOptimization.5.2.Shifts........55.3.6.Optimiza.tion.of.the.Pro.c.ess..79.Mixed.teger.F.ulation...........80.F.Appro..............56.4.Optimization.with5.3MultipleullCriteriaation57.4.1.Multi.criteria.Concepts..................5.3.1.In.Program.orm.for.F.Problem.5.4.s.Scalar..........5.8.4.1.1.P90arametrizationAnofolutionarythe.P.areto.Set..........91.P.Searc..........60.4.1.2.KKT.Conditions........5.4.3.Algorithm...................9CONTENTSiii6erturbations..AionDecision.Supp.ort.System.10.3arameters6.1.Decision.Making........Results.......5...erturbations.and.....Distribution.........i...h...rac...y..104.6.1.1.MoSensitivitd.e.l7.2.1Driv.en.Decisioln.Suppotalort.Systems....i.....Homogeneit...32....105.6.2RadialP.areto.F.ronPtierAlgNa.vigation..1.areto.....8.Fixed.............Computing.............Distribution106.6.2.1.Visualization.and7.2.2ConntroleedWidgets....7.2.3.y...........7.3.aramete....106.6.2.2.Selection7.4fromthea.Database......Fixed.............7.4.2.ist.utio.........7.4.311f0ern6.2.3Nelder-W.eigh.ts.V.ariation....7.5.the.ron...........145.7.1.3.P..................1.10.6.2.412Setting7.2Goalsthe.y.....................125.Radial.P.............126.Shifts.Rotatio.a111Sp6.2.5PImpro.ving.a.V.alue128FTunctionSensitivit.......................130.Radial.P.r.zation113.7.Numerical.Results.117.7.1.Sim.u130lOptimizatationofofFleecetheyPro.cess..........1.7.4.1.Shifts.........................132.Fixed118D7.1.1rDirectbSimnulation.of.the.Pro.cess........135.Numerical.o.the.att.Searc.and.Mead.orithms..120.7.1.2.F.aster.Ev.aluations..........37.T.king.P.F.tier...................140.Conclusions1Bibliograph24147ivCONTENTSChapter1Inewn,dierentrotensitductiontensities.1.1wMotiveationlineImagineofthetsproblemesoftpaineednhting.aAslongtswwithall.ords,Itmaterialdots.esuniformlynotwseemseactothebte,athedicultcolorproblem,ybutouronlyisbbrushecausetItrahatvotheretnotpainyappliedetspspbrusheoci