Form Error Estimation Using Spatial Statistics Yang, Tai-Hung Jackman, John Jackman, John
dc.contributor.department Industrial and Manufacturing Systems Engineering 2018-02-16T10:50:19.000 2020-06-30T04:48:46Z 2020-06-30T04:48:46Z Sat Jan 01 00:00:00 UTC 2000 2000-01-01
dc.description.abstract <p>Form error estimation is an essential step in the assessment of product geometry created through one or more manufacturing processes. We present a new method using spatial statistics to estimate form error. Using large sets of uniform sample points measured from five common machined surfaces, we compare the form error estimates using individual points and fitted surfaces obtained through spatial statistical methods. The results show that spatial statistics can provide more accurate estimates of form error under certain conditions.</p>
dc.description.comments <p>This is an article from <em>Transactions of the ASME</em> 262 (2000): 262, doi: <a href="" target="_blank">10.1115/1.538903</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 1031
dc.identifier.contextkey 7163558
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath imse_pubs/32
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 23:33:45 UTC 2022
dc.source.uri 10.1115/1.538903
dc.subject.disciplines Industrial Engineering
dc.subject.disciplines Statistics and Probability
dc.subject.disciplines Systems Engineering
dc.title Form Error Estimation Using Spatial Statistics
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 03a92c64-725b-4381-b118-419e6b5ac5c4
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
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