Ahmed Aly Diaa Mohammed Sarhan

Faculty of Engineering

Assiut University

Department
Mechanical Design and Production Engineering Department
Email:
ah_sarhan@yahoo.com
MIS Email
ahmed.sarhan@eng.au.edu.eg
Office
N/A - 031150
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Ph. D. In Mechanical Engineering (Precision Engineering) , Faculity of Engineering Kyoto University - japan , 2007
M. Sc. In Mechanical Engineering (Manufacturing Engineering) , Faculity of Engineering Assiut University , 1999
B. Sc. In Mechanical Engineering (Manufacturing Engineering) , Faculity of Engineering Assiut University , 1992


Associate Professor Faculty of Engineering, ِِAssiut University , 2013

Lecturer Faculty of Engineering, Assiut University , 2007

Assistant Lecturer Faculty of Engineering, Assiut University , 1999

Demonstrator Faculty of Engineering, Assiut University , 1992
# Title Research Year
21 Optimizing cutting parameters in inclined end milling for minimum surface residual stress - Taguchi approach
 		2015
22 Measuring of positioning, circularity and static errors of a CNC Vertical Machining Centre for validating the machining accuracy
 		2015
23 Employing Ti nano-powder dielectric to enhance surface characteristics in electrical discharge machining of AISI D2 steel
 		2015
24 Nonlinear Dynamic Analysis of a New Antibacklash Gear Mechanism Design for Reducing Dynamic Transmission Error
 		2015
25 Enhancing the adhesion strength of tantalum oxide ceramic thin film coating on biomedical Ti-6Al-4V alloy by thermal surface treatment
 		2015
26 The tribological and electrochemical behavior of HVOF-sprayed Cr3C2-NiCr ceramic coating on carbon steel
 		2015
27 Enhancing the tribo-mechanical properties of aerospace AL7075-T6 by magnetron-sputtered Ti/TiN, Cr/CrN & TiCr/TiCrN thin film ceramic coatings 2014
28 Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End Mill 2014
29 Plasma thermal spray of ceramic oxide coating on carbon steel with enhanced wear and corrosion resistance for oil and gas applications 2014
30 Cutting force-based adaptive neuro-fuzzy approach for accurate surface roughness prediction in end milling operation for intelligent machining 2014

الجمعيات العلمية و النقابات :

Research Projects