A surface roughness prediction model for hard turning process
A surface roughness prediction model for hard turning process
About this item
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Publisher
Heidelberg: Springer Nature B.V
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Language
English
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Publisher
Heidelberg: Springer Nature B.V
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Scope and Contents
Contents
An experimental investigation was conducted to determine the effects of cutting conditions and tool geometry on the surface roughness in the finish hard turning of the bearing steel (AISI 52100). Mixed ceramic inserts made up of aluminium oxide and titanium carbonitride (SNGA), having different nose radius and different effective rake angles, were...
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Full title
A surface roughness prediction model for hard turning process
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TN_cdi_proquest_journals_2665374770
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2665374770
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ISSN
0268-3768
E-ISSN
1433-3015
DOI
10.1007/s00170-006-0429-2
