000 02337cam a2200349 a 4500
003 EG-GiCUC
005 20250223031201.0
008 150324s2014 ua dh f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.13.13.M.Sc.2014.Hu.M
100 0 _aHussein Abdelazizabdelgawad Hegab
245 1 0 _aModeling and optimization of electrical discharge machining (EDM) using statistical design /
_cHussein Abdelaziz Abdelgawad Hegab ; Supervised Mohamed H. Gadallah , Tarek Abdelsadek Osman , Amal K. Esawi
246 1 5 _a النمذجة و التصميم الامثل للتشغيل بالتفريغ الكهربائي باستخدام التصميم الإحصائي
260 _aCairo :
_bHussein Abdelaziz Abdelgawad Hegab ,
_c2014
300 _a111 P. :
_bcharts , facsimiles ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and Production
520 _aThe objective of this work is to optimize Electrical Discharge Machining process parameters of (AL-CNT) in order to reach to optimal Material Removal Rate (MRR), Electrode Wear Ratio (EWR) and Average Surface Roughness (Ra). The Machining parameters are machining-on time (Sec), Discharge Current (A), Voltage (V), total depth of cut (mm), and %wt. CNT added. Another objective is to build mathematical models for all responses as function of significant process parameters using RSM. Experimental results show optimum levels for material removal rate at %wt. CNT (0%), high level of discharge current (6A) and low level of voltage (50 volts), optimum levels for Wear electrode ratio at %wt. CNT (5%), high level of discharge current (6A) and optimum levels for average surface roughness at % wt. CNT (0%), low level of discharge current (2A) and high level of depth of cut (1mm)
530 _aIssued also as CD
653 4 _aAL-CNT composites
653 4 _aResponse Surface Methodology (RSM)
653 4 _aTaguchi approach
700 0 _aAmal K. Esawi ,
_eSupervisor
700 0 _aMohamed H. Gadallah ,
_eSupervisor
700 0 _aTarek Abdelsadek Osman ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aAml
_eCataloger
905 _aNazla
_eRevisor
942 _2ddc
_cTH
999 _c50036
_d50036