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Prediction of surface product quality and operation reliability of grinding machines

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dc.title Prediction of surface product quality and operation reliability of grinding machines en
dc.contributor.author Lukovics, Imrich
dc.contributor.author Čop, Jiří
dc.contributor.author Fojtl, Ladislav
dc.contributor.author Lukovics, Petr
dc.contributor.author Pata, Vladimír
dc.relation.ispartof Manufacturing Technology
dc.identifier.issn 1213-2489 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2014
utb.relation.volume 14
utb.relation.issue 2
dc.citation.spage 213
dc.citation.epage 217
dc.type article
dc.language.iso en
dc.publisher Univerzita J. E. Purkyně v Ústí nad Labem (UJEP)
dc.relation.uri http://journal.strojirenskatechnologie.cz/templates/obalky_casopis/XIV_2014-2.pdf
dc.subject Grinding en
dc.subject Roughness en
dc.subject Surface quality en
dc.subject Vibration en
dc.description.abstract High quality products require modern and precise production machines, technologies and quality equipment of industrial metrology. Research paper discusses the possibility of vibration detection at production machines because of process conditions changes. Furthermore, paper also provides a methodology for assessment of vibration amplitude using non-contact laser interferometer, which uses Michelson principle for evaluation. Paper also provides information about a method of vibration amplitude evaluation by contact method using a piezoelectric vibration sensor connected to Balantron 2001 device. The effect of technological conditions on the quality of functional areas expressed by the arithmetic average roughness is experimentally and statistically determined. Experimental study also evaluates the influence of technological conditions during surface grinding on the amplitude of vibration of grinding spindle and provides a correlation between the vibration amplitude of grinding machine and product quality. Moreover, the change of vibration amplitude during three years of production is observed and production capabilities and accuracy of the machine during five years of manufacturing were predicted. © 2014. Published by Manufacturing Technology. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1003865
utb.identifier.obdid 43872024
utb.identifier.scopus 2-s2.0-84907335487
utb.source j-scopus
dc.date.accessioned 2014-11-19T09:23:41Z
dc.date.available 2014-11-19T09:23:41Z
utb.contributor.internalauthor Lukovics, Imrich
utb.contributor.internalauthor Čop, Jiří
utb.contributor.internalauthor Fojtl, Ladislav
utb.contributor.internalauthor Lukovics, Petr
utb.contributor.internalauthor Pata, Vladimír
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