Models for Monitoring of
Technological Processes and Production Systems

Tauno Otto

Dissertation for the doctoral degree at Tallinn University of Technology to be presented with due permission of the Department of Machinery for public examination and debate in Auditorium V301 at Tallinn University of Technology (Tallinn, Estonia) on the 31st of August, 2006, at 3 o'clock in the afternoon.

Overview in PDF format    [1208  KB]
Dissertation is also available in print (ISBN 9985-59-641-2, ISSN 1406-4758)  

Abstract

A general concept and mathematical models for monitoring technological processes and production systems in engineering industry suitable for SME have been investigated in the thesis. For that data flows in machining units were analysed and modelled regarding both technological process and characteristics of the machining tools. The elaborated measurement methodology made it possible to monitor tool wear development with a CCD camera. A dynamic model of manufacturing with two degrees of freedom was proposed for process monitoring by indirect measurements. An exemplary system has been developed at machining unit level for testing new cutting tools and materials. Providing an operator with provably safe instructions is essential but possible only with adequate process and operator behavioural models. As a new solution a formal model checking technique has been proposed as an extension to Reliability and Operations Monitoring System tools.

Online resource databases allow production enterprises to cooperate effectively. Usability of such databases can be significantly increased by adding search engines that are able to propose a full production chain implementing user needs and restrictions. A model checking technique has been elaborated for enabling automated building and verification of machining unit models. The elaborated system concept supports the strategic planning of technology transfer, it also could be used as a basis for the industrial enterprises in elaborating co-operation networks and developing towards extended enterprises. Description and evaluation of innovation capacity through human resources development is a novel solution taken into consideration in the building of the model. It enables to improve factor conditions of regional productivity, enhancing Porter’s Competitive Diamond Model. Results at this phase are used to develop the technological and human resources database test version. The current solution is focused on the sector of metalworking, machinery and apparatus engineering and has been realised in Estonia and six other European countries. This thesis consists of an overview and of the following five publications:

  1. Otto, T., Kurik, L., Papstel, J. (2003).  A digital measuring module for tool wear estimation, DAAAM International Scientific Book 2003, Ch 38, 435–444,  Ed. B. Katalinic, DAAAM International Vienna, Vienna.
  2. Aryassov, G., Otto, T., Gromova, S. (2004). Advanced dynamic models for evaluation of accuracy of machining on lathes. Proc. Estonian Acad. Sci. Eng., 10, 270–280.
  3. Otto, T., Papstel, J. (2003). Network monitoring of technological equipment and processes, Machine Engineering, Vol. 3, No. 1–2, 161–167.
  4. Otto, T., Papstel, J., Riives, J. (2004). Knowledge management in the framework of technological resources network, Machine Engineering, Vol. 4, No. 1–2, 21–28.
  5. Otto, T., Vain, J. (2006). Model checking in planning resource-sharing based manufacturing. 12th IFAC Symposium on Information Control Problems in Manufacturing. Preprints. Vol II: Industrial Engineering. Ed. A. Dolgui, G. Morel, C.E. Pereira, 535–540.

Keywords: tool wear, CCD measurement, network monitoring, lathe, vibration, e-community, formal methods, resource allocation, databases

This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.

© 2006 Tauno Otto