Akw. Chan et K. Case, PROCESS PLANNING BY RECOGNIZING AND LEARNING MACHINING FEATURES, International journal of computer integrated manufacturing, 7(2), 1994, pp. 77-99
Citations number
18
Categorie Soggetti
Computer Sciences","Computer Science Interdisciplinary Applications","Engineering, Manufacturing","Operatione Research & Management Science
We present two methods for process planning of 2.5D machined parts. Th
e first method is based on feature recognition from a three-dimensiona
l model. We embedded the shape and the machining method of two generic
classes of machining features in a set of OPS5 rules to form a machin
ing feature recognizer. When successfully recognizing a machining feat
ure, machining instructions, in terms of the tool entrance face, drive
face and part face, for cutting the machining feature will be generat
ed and further processed to produce NC codes. The second method is bas
ed on learning the shape and the machining method of the machining fea
ture. When a machining feature cannot be recognized by the former feat
ure recognizer, the user can use the machining feature as a positive t
raining example to instruct the system about the tool entrance face, d
rive face and part face of the machining feature. The system then buil
ds a new rule, using the boundary shape of the unrecognized machining
feature as the rule's matching condition and the acquired machining in
struction as the rule's action. The new rule can be used subsequently
for process planning of machining features that have shapes similar to
the memorized one.