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Please use this identifier to cite or link to this item: http://dspace.bstu.ru/jspui/handle/123456789/1968
Title: Using fuzzy models in machining control system and assessment of sustainability
Authors: Grinek, A. V.
Boychuk, I. P.
Dantsevich, I. M.
Keywords: Authors of BSTU
Issue Date: 2018
Publisher: IOP Publishing
Abstract: Description of the complex relationship of the optimum velocity with the temperaturestrength state in the cutting zone for machining a fuzzy model is proposed. The fuzzylogical conclusion allows determining the processing speed, which ensures effective, from the point of view of ensuring the quality of the surface layer, the temperature in the cutting zone and the maximum allowable cutting force. A scheme for stabilizing the temperature-strength state in the cutting zone using a nonlinear fuzzy PD−controller is proposed. The stability of the nonlinear system is estimated with the help of grapho−analytical realization of the method of harmonic balance and by modeling in MatLab.
Description: Grinek A.V. Using fuzzy models in machining control system and assessment of sustainability / A. V. Grinek, I. P. Boychuk, I. M. Dantsevich // IOP Conf. Series: Materials Science and Engineering. - 2018. - Vol.327. - 042021.
URI: http://dspace.bstu.ru/jspui/handle/123456789/1968
Appears in Collections:Machines and aggregates

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