Overview in PDF format - Tallinna TehnikaÃ¼likool

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mass ning süsteemi tulemusi saab kasutada haridusasutustes täiendusõppeuute kavade ja kursuste väljatöötamise ning olemasolevate modifitseerimisealusena.3.4. Siinkirjeldatud lahendus on fokuseeritud metallitööstuse, masina- jaaparaadiehituse sektorile.Edasised uurimissuunad1. Uute tehnoloogiate kasutatavus sektori (makro)tasemel, selleksvajaliku tehnoloogilise arengu eeltingimuste hindamine ja baasiloomine.2. Tehnoloogiaseadmete monitooringumudelite realisatsioon portatiivsekihina RFID tehnoloogia ja integreeritud arukate kübemete(„tark tolm”) kontseptsiooni abil teeb järgmise kümnendi lõpulreaalajaprotsesside monitooringu võimalikuks.3. R/OMS moodulite lisamine CAE rakendustele vajab täiendavatuurimist. Formaalne verifitseerimine tehnoloogiaseadmete mudelitekontrolliks on arvutiressurssi nõudev, mistõttu lahenduse kiireleidmine on sageli probleemiks.4. Väljatöötatud andmebaasi lahendusi testiti sarnase kultuuritaustagapiiratud alal. Multikultuurse taseme erisuste arvestamine eeldabontoloogiate edasiarendust andmekogude automaatseks koostamiseks,võimaldades eri keeltes koostatud teadmusbaasidestsaadavate andmevoogude vastastikku mõistetavaks tegemist.60
REFERENCESAltintas, Y. (2000). Manufacturing Automation: Metal Cutting Mechanics, MachineTool Vibrations, and CNC Design, Cambridge University Press.Aryassov, G., Otto, T. and Gromova, S. (2004). “Advanced Dynamic Models forEvaluation of Accuracy of Machining on Lathes”, Proc. Estonian Acad. Sci. Eng. 10,270–280.Aryassov, G., Pappel, T. and Gromova, S. (2003). “Effect of Vibration on Accuracy ofProcessed Details when Cutting”, Proceedings of 20th International Conference onMathematical Modelling in Mechanics of Solids and Structures by Boundary & FEM,Vol. 2, St. Petersburg, 51–57.Astakhov, V.P. (1999). Metal Cutting Mechanics, CRC Press LLC.Bayard, O. (2003). “Investigation of Forces and Contact Area for Modelling TurningProcess”, Ph.D. diss. Chair of Production Engineering, Department of ProductionEngineering, The Royal Institute of Technology, Stockholm.Birchfield, G. (2000). Plant Reliability – A New Approach to Understanding PlantReliability Underscores the Importance of Advanced Process Knowledge ManagementSystems, Solomon Associates, AspenWorld Conference.Burns, A. (2003). “How to Verify a Safe Real-Time System: the Application of ModelChecking and Timed Automata to the Production Cell Case Study”, Real-Time Systems,24, 135–151.Clarke, E.M., Grumberg, O. and Peled, D.A. (1999). Model Checking. The MIT Press.Gallagher, S. (1998). “Beat the Systems Management Odds”, Information Week, Vol.675, 61–76.Gåsvik, K.J (1995). Optical Metrology, Chichester: John Wiley & Sons.Håkansson, L. (1999), “Adaptive Active Control of Machine-Tool Vibration in aLathe”, Department of Production and Materials Engineering, Lund University, KFSAB Lund.Heijden, F. (1995). Image Based Measurement Systems, Chichester: John Wiley &Sons.Jaanson, A. (1993). “Mathematical Models of the Metal Cutting Process. Stages ofDevelopment and Perspectives”, Preprints of Tallinn Technical University. Tallinn.Jähne, B (1997). Practical Handbook on Image Processing for Scientific Applications,New York: CRC Press.Karaulova, T., Papstel, J., Otto, T. (2002). “Machine Cell Modeling and Monitoring”,Proceedings of 3rd International Conference of DAAAM National Estonia, IndustrialEngineering – New Challenges to SME, Tallinn, 92–95.Karaulova, T. (2004). “Development of the Modelling Tool for the Analysis of theProduction Process and its Entities for SME”, Ph.D. diss. Tallinn: TUT Press.61
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THESIS ON MECHANICAL AND INSTRUMENT
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MASINA- JA APARAADIEHITUS E283
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PREFACEThe mankind of the 21 st cen
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Paper I............................
Page 9 and 10: XII. Riives, J., Papstel, J., Otto,
Page 11 and 12: 1. INTRODUCTION1.1. BackgroundManuf
Page 13 and 14: database by a query; c. Search of t
Page 15 and 16: Porter’s Diamond Model task an on
Page 17 and 18: Figure 2.1 Use of modelling in prod
Page 19 and 20: However, it should be noticed that
Page 21 and 22: Figure 2.6 Depth of field/magnifica
Page 23 and 24: 2.3. Prediction of machining accura
Page 25 and 26: uFy=ybsinptyOl 1ulFAϕFigure 2.10 C
Page 27 and 28: is2.5. Dynamical model with two deg
Page 29 and 30: According to de Moivre’s formulaw
Page 31 and 32: constant of the lathe. Figure 2.11
Page 33 and 34: Analogically, test results and resu
Page 35 and 36: Figure 3.1 Model checking in an ope
Page 37 and 38: Figure 3.3 A snapshot of Uppaal mod
Page 39 and 40: Figure 3.5 FMS at TUTM9M8M4M1M2M7M5
Page 41 and 42: Turning and milling operations can
Page 43 and 44: 4. MODELS FOR MONITORING THE RESOUR
Page 45 and 46: As assumptions to solve the queries
Page 47 and 48: Regarding co-operation networks the
Page 49 and 50: • The system offers dynamic and u
Page 51 and 52: Figure 4.5 Associations in the Inno
Page 53 and 54: An enterprise-centred mapping and a
Page 55 and 56: Better efficiency and transparency
Page 57 and 58: institutions: in enterprises of div
Page 59: 1. Tehnoloogiaseadme tasemel on loo
Page 63 and 64: Russo, M.F. (1999). Automating Scie
Page 65 and 66: Paper IIAryassov, G., Otto, T., Gro
Page 67 and 68: Paper IVOtto, T., Papstel, J., Riiv
Page 69 and 70: ELULOOKIRJELDUS (CV)1. IsikuandmedE
Page 71 and 72: CURRICULUM VITAE (CV)1. Personal da
Page 73 and 74: DISSERTATIONS DEFENDED ATTALLINN UN
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