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Application of magnetic correlation analysis on the choice and correction of cutting parameters for automated manufacturing systems

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dc.title Application of magnetic correlation analysis on the choice and correction of cutting parameters for automated manufacturing systems en
dc.contributor.author Kocman, Karel
dc.relation.ispartof Manufacturing Technology
dc.identifier.issn 1213-2489 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.date.issued 2011
utb.relation.volume 11
dc.citation.spage 28
dc.citation.epage 32
dc.type article
dc.language.iso en
dc.relation.uri http://journal.strojirenskatechnologie.cz/templates/obalky_casopis/XI_2011.pdf
dc.subject Cutting tools en
dc.subject Kinetic machinability en
dc.subject Magnetic correlation analysis en
dc.subject Optimization en
dc.subject Theory of cutting en
dc.description.abstract The paper is focused on the optimization of cutting parameters and their correction using magnetic correlation kinetic analysis to determine the workability of the material machined. The integrity of the surface layers, dimension and shape accuracy and cost of production is primarily dependent on the input parameters of the cutting process with particular workpiece material and its workability, the required quality, working conditions, type of cutting tool, workpiece material and machine tool. Different homogeneity causing uneven machinability, its early detection and quantitative assessment before entering into the semi-machining process is an important factor to stabilize and optimize the cutting process, especially in automated manufacturing. The identification of variations in machinability of the desired state can use the principle magnetic correlation analysis of the material and the values used to control and optimize the cutting process. This principle can be applied to adaptive control of modal commands direct change in the control program. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1002804
utb.identifier.obdid 43867925
utb.identifier.scopus 2-s2.0-84860766917
utb.source j-scopus
dc.date.accessioned 2012-06-04T11:34:10Z
dc.date.available 2012-06-04T11:34:10Z
utb.contributor.internalauthor Kocman, Karel
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