Example - Training data creation

Example - Training data creation

  • Adoption of a taxonomy: machining features
  • Design of B-Rep feature models
    BlindHole
  • Coding of B-Rep feature models at two levels of abstraction

    TableBlindHole

This illustrative example presents a possible implementation of the proposed method for automatic formation of feature recognition rules. In this example, the taxonomy that is adopted categorises features belonging to the machining domain. One of the B-Rep models used as an example of a blind hole is shown in this slide together with its code/characteristic vector generated at the highest level of abstraction.

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