Overview in PDF format - Tallinna TehnikaÃ¼likool

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AbstractA general concept and mathematical models for monitoring technologicalprocesses and production systems in engineering industry suitable for SMEhave been investigated in the thesis. For that data flows in machining units wereanalysed and modelled regarding both technological process and characteristicsof the machining tools. The elaborated measurement methodology made itpossible to monitor tool wear development with a CCD camera. A dynamicmodel of manufacturing with two degrees of freedom was proposed for processmonitoring by indirect measurements. An exemplary system has beendeveloped at machining unit level for testing new cutting tools and materials.Providing an operator with provably safe instructions is essential but possibleonly with adequate process and operator behavioural models. As a new solutiona formal model checking technique has been proposed as an extension toReliability and Operations Monitoring System tools.Online resource databases allow production enterprises to cooperateeffectively. Usability of such databases can be significantly increased by addingsearch engines that are able to propose a full production chain implementinguser needs and restrictions. A model checking technique has been elaborated forenabling automated building and verification of machining unit models. Theelaborated system concept supports the strategic planning of technologytransfer, it also could be used as a basis for the industrial enterprises inelaborating co-operation networks and developing towards extendedenterprises. Description and evaluation of innovation capacity through humanresources development is a novel solution taken into consideration in thebuilding of the model. It enables to improve factor conditions of regionalproductivity, enhancing Porter’s Competitive Diamond Model. Results at thisphase are used to develop the technological and human resources database testversion. The current solution is focused on the sector of metalworking,machinery and apparatus engineering and has been realised in Estonia and sixother European countries.Keywords: tool wear, CCD measurement, network monitoring, lathe, vibration,e-community, formal methods, resource allocation, databases4
PREFACEThe mankind of the 21 st century is in constant need of new products, rarely thinkingabout how these are manufactured. The production of the 21 st century is still mandependentand the dreams of the 90s of unmanned enterprises have been buried asunprofitable by financial calculations.The current study has been targeted onto development of models for monitoringtechnological processes and production systems starting from a single machine tooland ending with an extended enterprise. The subject has been initiated by researchtowards development of a machining unit capable of testing new cutting tools andtool materials. Scepticism is a basis of science, therefore both composition andverification of models have been included in this work. During the research the roleof a human being became evident – in similar manufacturing situations and withsimilar equipment results can be different depending on competence of workforce.Considering the presence of manpower and making the corresponding competencesmeasurable has been an additional task to be solved. The proposed solutionencompassing the sectors of metal industry, machinery and apparatus engineering inEstonia today has been financed by the European Union.AKCNOWLEDGEMENTSThe thesis has been strongly influenced by the late Professor Jyri Papstel whosupervised this work from 2001 up to September 2004.Special thanks belong to Professor Rein Kyttner who took over supervising,offering encouragement and valuable advice in finalising the work.Many thanks to Jyri Vain, Tatyana Karaulova, Gennady Aryassov, Alar Kuusik,Svetlana Gromova, Lembit Kurik – the co-authors of several articles – and all theother colleagues from Tallinn University of Technology. During the research I havefelt the constant support of the Estonian Federation of Engineering Industry (EML)and its chairman Dr Jyri Riives. I would also like to thank Leo Teder for hisassistance in experiments. It has been a pleasure to realise the ideas with partnersfrom INNOMET project. In realisation of IT solutions Markus Keerman and AlertixLtd. have been of great help.The Estonian Science Foundation (Grant No 6795) is acknowledged forsupporting the research. Likewise, TUT Department of Research, ArchimedesFoundation and IVA are thankfully acknowledged for their assistance in coveringseveral travelling and subsistence costs connected with the research andpresentations at conferences. The EU Leonardo Centre, Foundation Innove andEnterprise Estonia are acknowledged for financing the testing of the research resultsin practice.This thesis would not have been possible without the support of my wife Kairiand son Tanel. I am also grateful to my relatives and friends for patience andunderstanding.5
Page 1 and 2: THESIS ON MECHANICAL AND INSTRUMENT
Page 3: MASINA- JA APARAADIEHITUS E283
Page 7 and 8: 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
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Better efficiency and transparency
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institutions: in enterprises of div
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1. Tehnoloogiaseadme tasemel on loo
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REFERENCESAltintas, Y. (2000). Manu
Page 63 and 64:
Russo, M.F. (1999). Automating Scie
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Paper IIAryassov, G., Otto, T., Gro
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Paper IVOtto, T., Papstel, J., Riiv
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ELULOOKIRJELDUS (CV)1. IsikuandmedE
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CURRICULUM VITAE (CV)1. Personal da
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DISSERTATIONS DEFENDED ATTALLINN UN
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