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dc.contributor.authorGrinek, A. V.-
dc.contributor.authorBoychuk, I. P.-
dc.contributor.authorDantsevich, I. M.-
dc.date.accessioned2018-10-29T07:54:03Z-
dc.date.available2018-10-29T07:54:03Z-
dc.date.issued2018-
dc.identifier.urihttp://dspace.bstu.ru/jspui/handle/123456789/1968-
dc.descriptionGrinek 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.ru_RU
dc.description.abstractDescription 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.ru_RU
dc.language.isoenru_RU
dc.publisherIOP Publishingru_RU
dc.subjectAuthors of BSTUru_RU
dc.titleUsing fuzzy models in machining control system and assessment of sustainabilityru_RU
dc.typeArticleru_RU
Appears in Collections:Machines and aggregates

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