An experimental analysis and optimization of CO2 laser cutting process for metallic coated sheet steels Wang, Jun en_US 2021-11-25T12:31:29Z 2021-11-25T12:31:29Z 2000 en_US
dc.description.abstract An experimental investigation is presented which analyses the CO2 laser cutting process for difficult-to-cut metallic coated sheet steels, GALVABOND. It shows that by proper control of the cutting parameters, good quality cuts are possible at high cutting rate. Plausible trends of the energy efficiency (percentage of energy used in cutting) with respect to the various process parameters are analysed. Visual examination indicates that when increasing the cutting rate to as high as 5000 mm/min, kerfs of better quality than those produced using the parameters suggested in an early study can be achieved. Some kerf characteristics such as the width, heat affected zone and dross in terms of the process parameters are also discussed. A statistical analysis has arrived at the relationships between the cutting speed, laser power and workpiece thickness, from which a recommendation is made on the selection of optimum cutting parameters for processing GALVABOND. 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 Metallic coated sheet steels en_US
dc.subject.other Laser cutting en_US
dc.subject.other Sheet metal processing en_US
dc.subject.other Process parameter selection en_US
dc.subject.other Manufacturing Engineering not elsewhere classified (290399) en_US
dc.title An experimental analysis and optimization of CO2 laser cutting process for metallic coated sheet steels en_US
dc.type Journal Article en
dcterms.accessRights open access
dspace.entity.type Publication en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofjournal International Journal of Advanced Manufacturing Technology en_US
unsw.relation.ispartofpagefrompageto 334-340 en_US
unsw.relation.ispartofvolume 16 en_US
unsw.relation.originalPublicationAffiliation Wang, Jun, Faculty of Engineering, UNSW en_US
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