This paper presents current research perspectives on Computer Aided Pr
ocess Planning (CAPP) and it covers articles and other related publica
tions that appeared especially in the last seven years. It aims to pro
vide a clear understanding of the directions and challenges in the fie
ld. The current research efforts on CAPP systems focus on both variant
as well as generative and hybrid systems. A majority of these systems
apply expert system or artificial intelligence based techniques. At t
he same time a strong emphasis is placed on integrating CAPP and its r
elated activities into one system. As a bridge between Computer Aided
Design (CAD) and Computer Aided Manufacturing (CAM) CAPP relies on goo
d interfaces between these systems. Automatic feature recognition syst
ems can be used to interface CAD and CAPP. Various methods are availab
le to per-form feature recognition using solid model of the part. This
paper first provides a general introduction to CAPP along with its ba
ckground. It also gives an overview of manufacturing features and feat
ure recognition research. Recent CAPP research and systems are discuss
ed in terms of their general characteristics. Finally, shortcomings of
current systems and expected future developments art considered. (C)
1997 Elsevier Science B.V.