Predictive depth of jet penetration models for abrasive waterjet cutting of alumina ceramics Wang, Jun en_US 2021-11-25T15:28:43Z 2021-11-25T15:28:43Z 2007 en_US
dc.description.abstract A study of the depth of jet penetration (or depth of cut) in abrasive waterjet (AWJ) cutting of alumina ceramics with controlled nozzle oscillation is presented and discussed. An experimental investigation is carried out first to study the effects of nozzle oscillation at small angles on the depth of cut under different combinations of process parameters. Based on the test conditions, it is found that nozzle oscillation at small angles can improve the depth of cut by as much as 82% if the cutting parameters are correctly selected. Depending on the other cutting parameters in this study, it is found that a high oscillation frequency (10-14 Hz) with a low oscillation angle (4-6o) can maximize the depth of cut. Using a dimensional analysis technique, predictive models for jet penetration when cutting alumina ceramics with and without nozzle oscillation are finally developed and verified. It is found that the model predictions are in good agreement with the experimental results with the average percentage errors of less than 2.5%. en_US
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri en_US
dc.source Legacy MARC en_US
dc.subject.other depth of jet penetration en_US
dc.subject.other abrasive waterjet cutting en_US
dc.subject.other nozzle oscillation en_US
dc.subject.other machining en_US
dc.subject.other Manufacturing Engineering not elsewhere classified (290399) en_US
dc.title Predictive depth of jet penetration models for abrasive waterjet cutting of alumina ceramics en_US
dc.type Journal Article en
dcterms.accessRights open access
dspace.entity.type Publication en_US
unsw.identifier.doiPublisher en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofissue 3 en_US
unsw.relation.ispartofjournal International Journal of Mechanical Sciences en_US
unsw.relation.ispartofpagefrompageto 306-316 en_US
unsw.relation.ispartofvolume 49 en_US
unsw.relation.originalPublicationAffiliation Wang, Jun, Faculty of Engineering, UNSW en_US
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