Process factors of impact on OEE for lathes for machining of wheelset

• Autorzy: Stryczek R. , Szczepka W.
• Języki publikacji: EN

Abstrakty

EN

Lathes for machining of wheelsets are the specific class of production means, for which the maintaining of satisfactorily high value of coefficient of overall equipment effectiveness (OEE) is very difficult and depends on many different factors. In this study it has been focused on the process factors which influence shaping of OEE for this group of lathes. These include: optimizing the geometry of the wheel flange, identifying and optimization of partition of machining allowance, segmentation and parameterization of machining programs, adaptive control of roughing as well as detecting and reducing of occurrence of slippage between the drive rollers and the machined wheel. A particularly difficult problem is to detect and avoid slippage of drive rollers at the moment of stopping of the machined wheelset, as a result of occurrence of excessive cutting resistances. In the study it has been presented a new method for detecting of slippage and reacting through synchronous actions, to the occurrence of slippage in the friction drive lathes. The method described in this work has been implemented in real industrial conditions.

Słowa kluczowe

EN

wheelset machining; optimization; friction drive; adaptive control

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2016
• Tom: Vol. 16, No. 3
• Strony: 126--140
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Stryczek R.

• University of Bielsko-Biała , Faculty of Mechanical Engineering and Computer Science, Bielsko-Biała, Poland

autor

Szczepka W.

• Siemens sp. z o. o., Industry Automation and Drive Technologies, Katowice, Poland

Bibliografia

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• [5] LIAN R.J., LIN B.F., HUANG J.H., 2005, Self organizing fuzzy control of constant cutting force in turning, International Journal of Advanced Manufacturing Technology, 29, 436-445.
• [6] LOSKA A., 2013, Exploitation assessment of selected technical objects using taxonomic methods, Maintenance and Reliability, 15/1, 1-8, (in Polish).
• [7] NAKAJIMA S., 1982, TPM tenkai, Japan Institute of Plant Maintenance, Tokyo.
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• [9] PYTLAK B., 2015, Synchronized actions in the control system SINUMERIK, Mechanik, 5-6, 384-388, (in Polish).
• [10] RATAVA J., RIKKONEN M., RYYNÄNEN V., LEPPÄNEN J., LINDH T., VARIS J., SIHVO L., 2011, An adaptive fuzzy control system to maximize rough turning productivity and avoid the onset of instability, International Journal of Advanced Manufacturing Technology, 53, 71-79.
• [11] STRYCZEK R., 2007, Optimizing the shape of remanufactured tram wheels, Przegląd mechaniczny, 12, 24-28, (in Polish).
• [12] STRYCZEK R., ORAWCZAK K., 2013, A fuzzy control strategy in the turning process, Advances Manufacturing Science and Technology, 37/1, 79-86.
• [13] STRYCZEK R., PYTLAK B., 2011, Flexible programming of machine tools, PWN, Warszawa, (in Polish).
• [14] STRYCZEK R., SZCZEPKA W., 2011, A fuzzy control strategy for an adaptive feed rate control during rough turning, Pomiary Automatyka Robotyka, 4, 64-69, (in Polish).
• [15] PN-EN 13715:2008.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.