TY  - GEN
AU  - Tarek Maamoun Ibrahim Adel
AU  - Attia Hussien Gomaa , 
AU  - Sayed Mohamed Metwalli , 
TI  - A Heuristic automatic feature recognition technique for computer : : aided applications / 
PY  - 2006///
CY  - Cairo : 
PB  - Tarek Maamoun Ibrahim Adel , 
KW  - Feature recognition
KW  - Hollow sectors
KW  - Prohection - Mesh
KW  - STEP
N1  - Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Mechanical Power Engineering; Issued also as CD
N2  - Many research efforts have been spent on feature recognition toward the integration of computer - aided design (CAD) and computer - aided manufacturing (CAM) However , the majority of contemporary feature recognition techniques cannot extract features with intersections in practical applicationsOther problems have not been resolvedThe solution time is usually long for simple featuresIt is limited to a small number of surfaces and edges in both features and modelsIf model's number of surfaces or edges increases , the solution time will increase factoriallyMost of these techniques are not reliable if model's number of surfaces and edges are large
UR  - http://172.23.153.220/th.pdf
ER  -