000			018300000a22003370004500
003			EG-GICUC
005			20250223030947.0
008			060917s2006 ua d f m 000 0 eng d
040			_aEG-GICUC _beng _cEG-GICUC
041	0		_aEng
049			_aDeposite
097			_aM.Sc
099			_aCai01.13.11.M.Sc.2006.Ta.H.
100	0		_aTarek Maamoun Ibrahim Adel
245	1	2	_aA Heuristic automatic feature recognition technique for computer : _baided applications / _cTarek Maamoun Ibrahim Adel ; Supervised Sayed Mohamed Metwalli , Attia Hussien Gomaa
260			_aCairo : _bTarek Maamoun Ibrahim Adel , _c2006
300			_a161 P : _bcharts ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Mechanical Power Engineering
520			_aMany 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
530			_aIssued also as CD
653		4	_aFeature recognition
653		4	_aHollow sectors
653		4	_aProhection - Mesh
653		4	_aSTEP
700	0		_aAttia Hussien Gomaa , _eSupervisor
700	0		_aSayed Mohamed Metwalli , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aEsam _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c45555 _d45555