Kriging and splines, and their application to the characterization of near-circular features

dc.contributor.advisor Herbert T. David Ahn, Hae-Il
dc.contributor.department Industrial and Manufacturing Systems Engineering 2018-08-23T15:10:32.000 2020-06-30T07:05:35Z 2020-06-30T07:05:35Z Sat Jan 01 00:00:00 UTC 1994 1994
dc.description.abstract <p>Spatial prediction methods are briefly reviewed in an attempt to apply the methodology to a manufacturing problem of geometric shape estimation. While stochastic kriging models and deterministic spline models differ in origin and professed objectives, the latter may be viewed in terms of the former; in particular in terms of intrinsically stationary isotropic kriging. Several methods such as surface splines and multiquadrics are interpreted in kriging terms to the effect that the methodology is looked upon as being unified under the name of spatial prediction. The main purpose of this work is to develop an approach to the estimation of form error of machined parts or wear-pattern of used parts, presumably measured by 3-coordinate measuring machine, in an effort to have the analysis rooted in spatial prediction. While this study may find applicability in machining generally, the estimation of geometric objects featuring roundness is focused on.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 11529
dc.identifier.contextkey 6405282
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/10530
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 18:23:00 UTC 2022
dc.subject.disciplines Industrial Engineering
dc.subject.keywords Industrial and manufacturing systems engineering
dc.subject.keywords Industrial engineering
dc.title Kriging and splines, and their application to the characterization of near-circular features
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1 dissertation Doctor of Philosophy
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