View in EDS HTML Full Text PDF Full Text

Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations.

Saved in:
Bibliographic Details
Title: Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations.
Authors: Checa, David1, Urbikain, Gorka2, Beranoagirre, Aitor2, Bustillo, Andrés1, abustillo@ubu.es, López de Lacalle, Luis Norberto2
Source: International Journal of Computer Integrated Manufacturing; Sep2022, Vol. 35 Issue 9, p951-971, 21p, 2 Color Photographs, 1 Diagram, 5 Charts, 7 Graphs
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 158478488
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Checa%2C+David%22">Checa, David</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Urbikain%2C+Gorka%22">Urbikain, Gorka</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Beranoagirre%2C+Aitor%22">Beranoagirre, Aitor</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Bustillo%2C+Andrés%22">Bustillo, Andrés</searchLink><relatesTo>1</relatesTo>, <i>abustillo@ubu.es</i><br /><searchLink fieldCode="AU" term="%22López+de+Lacalle%2C+Luis+Norberto%22">López de Lacalle, Luis Norberto</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Integrated+Manufacturing%22">International Journal of Computer Integrated Manufacturing</searchLink>; Sep2022, Vol. 35 Issue 9, p951-971, 21p, 2 Color Photographs, 1 Diagram, 5 Charts, 7 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158478488
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/0951192X.2022.2027020
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 951
    Titles:
      – TitleFull: Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Checa, David
      – PersonEntity:
          Name:
            NameFull: Urbikain, Gorka
      – PersonEntity:
          Name:
            NameFull: Beranoagirre, Aitor
      – PersonEntity:
          Name:
            NameFull: Bustillo, Andrés
      – PersonEntity:
          Name:
            NameFull: López de Lacalle, Luis Norberto
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 0951192X
          Numbering:
            – Type: volume
              Value: 35
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: International Journal of Computer Integrated Manufacturing
              Type: main
ResultId 1