related attributes. More importantly, users can weight
more on AM features which are of much significance.
7 CONCLUSION
Feature has not got enough attention in AM. How-
ever, it is also important and useful for AM. In this
paper, AM feature is defined and a solution based on
AM feature is proposed to solve the orientation prob-
lems.A case study shows its effectiveness. Future work
would be done to construct advanced algorithms for
AM feature recognition, orientation refining as well
as advanced reasoning engine based on related AM
knowledge. It is potential to link the process planning
of AM with DFAM (design for AM) or integrate it
with other software in AM with AM features. Hence,
the automation rate and intelligence level would be
greatly improved.