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A Heuristic automatic feature recognition technique for computer : aided applications / Tarek Maamoun Ibrahim Adel ; Supervised Sayed Mohamed Metwalli , Attia Hussien Gomaa

By: Contributor(s): Language: Eng Publication details: Cairo : Tarek Maamoun Ibrahim Adel , 2006Description: 161 P : charts ; 30cmSubject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Mechanical Power Engineering Summary: 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
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.11.M.Sc.2006.Ta.H. (Browse shelf(Opens below)) Not for loan 01010110045557000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.11.M.Sc.2006.Ta.H. (Browse shelf(Opens below)) 45557.CD Not for loan 01020110045557000

Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Mechanical Power Engineering

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

Issued also as CD

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