Efficient Parameterized Characterization of Manufacturing Strategies for Automated Copied Driving

Daniel Opritescu, Christoph Hartmann, Wolfram Volk

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


A knowledge-based automation concept, called automated copied driving, has been introduced for a special driving process. Thereby, a database of tool paths for component shapes is employed. New components are produced through the composition of appropriately transformed parts of the data pool. Up to now, building the database has been the main issue due to the complex cataloging of tool paths. This paper presents an automated approach for cataloging that is fast and universally applicable. Therefore, tool paths are parameterized by probabilistic density functions, which, subsequently, are used for tool path derivation. For the computation, a bivariate kernel density estimation is applied.

Original languageEnglish
Pages (from-to)1090-1095
Number of pages6
JournalProcedia CIRP
StatePublished - 2016
Event48th CIRP International Conference on Manufacturing Systems, CIRP CMS 2015 - Ischia, Italy
Duration: 24 Jun 201526 Jun 2015


  • Automation
  • Flexible manufacturing system (FMS)
  • Incremental sheet forming
  • Knowledge-based system
  • Tool path


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