Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/4893
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dc.contributor.authorJones, Gordon John-
dc.date.accessioned2011-03-28T10:12:40Z-
dc.date.available2011-03-28T10:12:40Z-
dc.date.issued1985-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/4893-
dc.descriptionThis thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.en_US
dc.description.abstractA survey of the literature of grinding and surface texture shows the influence of dressing and wear on surfaces involved in the process and the advantages of stylus profilometry for data collection from both grinding wheels and ground surfaces. Statistical analysis is favoured for surface profile characterization and, of the various parameters used, power spectral density alone offers some prospect of effective comparison between these surfaces. Work on grinding with single crystals of natural corundum was eventually discontinued in favour of experiments with conventional bonded grinding wheels subjected to a dressing operation and some wear in grinding steel surfaces. Statistical parameters representing the surfaces are computed using data obtained from profilograms. Results in terms of power spectral density are presented showing progressive improvement following upon developments in apparatus and methods which facilitated the use of larger surface profile samples. Transfer functions are used to relate power spectra representing corresponding pairs of surfaces. The significance of power spectral density applied to surface profile characterization is discussed and, in this context, it is suggested that these should be described as variance spectra. Attention is drawn to certain disadvantages of variance spectra applied to grinding wheel and ground surface profiles. Methods designed to improve presentation of variance spectra lead to development of a proposed new and more suitable spectrum in which density of standard deviation of surface profile ordinates with respect to frequency is plotted against frequency. Transfer functions calculated from related pairs of these standard deviation spectra show a strong linear correlation with frequency and offer prospects of convenient comparison between the profiles of the various surfaces involved in grinding.en_US
dc.language.isoenen_US
dc.publisherBrunel University School of Engineering and Design PhD Theses-
dc.relation.urihttp://bura.brunel.ac.uk/bitstream/2438/4893/1/FulltextThesis.pdf-
dc.subjectPower spectral densityen_US
dc.subjectStandard deviation spectraen_US
dc.subjectGrinding textureen_US
dc.subjectSurface textureen_US
dc.titleA study of the surface finish produced by grindingen_US
dc.typeThesisen_US
Appears in Collections:Dept of Mechanical Aerospace and Civil Engineering Theses

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