La lecture à portée de main
160
pages
English
Documents
2008
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160
pages
English
Ebook
2008
Le téléchargement nécessite un accès à la bibliothèque YouScribe Tout savoir sur nos offres
Publié par
Publié le
01 janvier 2008
Nombre de lectures
21
Langue
English
Poids de l'ouvrage
2 Mo
Publié par
Publié le
01 janvier 2008
Nombre de lectures
21
Langue
English
Poids de l'ouvrage
2 Mo
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