Overview in PDF format - Tallinna TehnikaÃ¼likool

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5. CONCLUSIONSThe generalised conclusions of the work are the following:1. A process monitoring model and an exemplary system was developed at MUlevel, where a real form of cutting wedge and real depth of cut at the givenmoment were transformed into real cutting data in the tool-in-process system.1.1. Exact measurements of the surface contact areas, average wear landwidths and chip movement direction involving CCD cameras enabledmonitoring. The elaborated measurement methodology made it possible tomonitor tool wear development by mounting a single CCD camera into themachine tool. The main advantages of the elaborated digital videomeasuring system rely on a relatively low cost, portability and extendedpossibilities of digital image analyses, e.g. exact measuring of surfaceareas, average wear land lengths and perimeters. Automated measuringexcludes human mistakes and, due to the images saved, permits to analysethe data later off-line, which is important when carrying out long-lastingnon-repeatable machining tests.1.2. A dynamic model of manufacturing with two degrees of freedom wasproposed for process monitoring by indirect measurements. The processingof the roughness measurements data confirmed the precision of thecalculation model. Surface roughness parameters of the blank quitesatisfactorily agreed with the respective data of the theoretical investigation.2. A formal model checking technique was proposed as an extension to R/OMStools. Providing provably safe instructions to an operator is possible only withadequate process and operator behavioural models.2.1. Real time model updating in this approach is performed by an integratedmeasurement and expert system during the process run. The finalinstruction decision is made only after model checkers acceptance.2.2. The elaborated model-checking modules are universal, can beimplemented with minor changes in other automated manufacturingsystems and reduce hazardous situations caused by the human factor.3. Online resource databases allow effective cooperation of production enterprisesat least in the machinery sector. Usability of such databases can be significantlyincreased by adding search engines that are able to propose a full productionchain implementing user needs and restrictions. Results at this phase are used todevelop the technological resources database test version.3.1. The system results can support 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.3.2. The proposed model is capable of monitoring the quality and quantity oftechnological resources in machine-building enterprises of the network.Influence of human resources can be evaluated successfully when usingproper taxonomy and expert estimations. The described methodology ofhuman resources development has been thoroughly tested in five56
institutions: in enterprises of diverse type (specialising in machinery, toolsengineering, metal engineering and road engineering), and TallinnUniversity of Technology. Testing results turned to be successful and thesystem elaborated has proved its place as a carrier of competencedevelopment.3.3. Results at this phase are used to revise and develop a test version of thehuman resource database. However, in a long perspective when a criticalmass of companies are involved in the system the results could be used asa basis for educational institutions to elaborate complementary study andtraining programmes and modify the existing ones.3.4. The current solution is focused on the sector of metalworking, machineryand apparatus engineering. The proposed model can be transferred also toother industrial sectors (wood processing, chemical industry, constructionmaterials industry, etc).Further research1. Applicability of novel technologies in industry, estimation of preconditionsfor the needed technological advancement and creation of basis for that onsectoral (macro) level is the first priority.2. Models of MU behaviour are an object of interest. Upcoming long-distanceRadio Frequency Identification (RFID) technology and integration of SmartDust concept with machining module makes it possible, in the next decade,to monitor real processes based on the models as a portable layer.3. Adding modules of R/OMS for CAE applications needs furtherinvestigation. The formal verification for automated building of machinetool models gains importance with acceleration of computers computingcapabilities, being so far the bottleneck in formal methods softwaredevelopment.4. The developed database solutions were tested in a restricted area, havingcommon cultural and language basis. Development at a multicultural levelneeds additional research of common understanding – development ofontology for building automated libraries assuring similar knowledge-basedinput from different languages.57
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THESIS ON MECHANICAL AND INSTRUMENT
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MASINA- JA APARAADIEHITUS E283
Page 5 and 6: PREFACEThe mankind of the 21 st cen
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
Page 55: Better efficiency and transparency
Page 59 and 60: 1. Tehnoloogiaseadme tasemel on loo
Page 61 and 62: REFERENCESAltintas, Y. (2000). Manu
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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