Surface quality prediction by machine learning methods and process parameter optimization in ultra-p...
Surface quality prediction by machine learning methods and process parameter optimization in ultra-precision machining of AISI D2 using CBN tool
About this item
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Author / Creator
Publisher
London: Springer London
Journal title
Language
English
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Publication information
Publisher
London: Springer London
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Scope and Contents
Contents
High-quality machining is a crucial aspect of contemporary manufacturing technology due to the vast demand for precision machining for parts made from hardened tool steels and super alloys globally in the aerospace, automobile, and medical sectors. The necessity to upheave production efficiency and quality enhancement at minimum cost requires deep...
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Full title
Surface quality prediction by machine learning methods and process parameter optimization in ultra-precision machining of AISI D2 using CBN tool
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Record Identifier
TN_cdi_proquest_journals_2881053673
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2881053673
Other Identifiers
ISSN
0268-3768
E-ISSN
1433-3015
DOI
10.1007/s00170-023-12366-1
