kfslogo د/ابراهيم ماهر عبد الرحيم سلطان
البريد الإلكتروني



 
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1Investigating the Machinability of Al–Si–Cu cast alloy containing bismuth and antimony using coated carbide insert
2Surface Roughness Prediction in End-Milling Process
3White layer thickness prediction in WEDM-ANFIS modelling
4Investigation into effect of silicon morphology on surface roughness while machining Al-Si-Cu-Mg alloy
5Enhanced surface roughness of AISI D2 steel machined using nano-powder mixed electrical discharge machining
6White layer thickness prediction in Wire-EDM using CuZn coated wire electrode - ANFIS modeling
7Development of a new performance criteria for higher wire-electrical discharge machining performance considering the ecological and economical aspects
81.7 Techniques to Improve EDM Capabilities: A Review
9Wire Rupture Optimization in Wire Electrical Discharge Machining Using Taguchi approach
10Performance of Electrical Discharge Milling and Sinking in Micro Graphite Powder Mixed Dielectric
11INVESTIGATION ON SURFACE FINISH AND TOOL CONDITION WHILE TURNING AL20 Mg2Si METAL MATRIX COMPOSITE
12Proposing a new performance index to identify the effect of spark energy and pulse frequency simultaneously to achieve high machining performance in WEDM
13Increasing the productivity of the wire-cut electrical discharge machine associated with sustainable production
14An electrode wire for use in wire electrical discharge machining
15Improve wire EDM performance at different machining parameters – ANFIS modeling
161.9 Effect of Electrical Discharge Energy on White Layer Thickness of WEDM Process
17Review of improvements in wire electrode properties for longer working time and utilization in wire EDM machining
18Surface roughness prediction in end milling using multiple regression and adaptive neuro-fuzzy inference system
19Investigation of the effect of machining parameters on the surface quality of machined brass (60/40) in CNC end milling—ANFIS modeling
20Cutting force-based adaptive neuro-fuzzy approach for accurate surface roughness prediction in end milling operation for intelligent machining

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