Mechanical and microstructural properties prediction by artificial neural networks in FSW processes of dual phase titanium alloys

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)
Original languageEnglish
Pages (from-to)289-296
Number of pages8
JournalJournal of Manufacturing Processes
Volume14
Publication statusPublished - 2012

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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