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
11 Cutting force analysis to estimate the friction force in linear guideways of CNC machine
 		2016
12 Development of tantalum oxide (Ta-O) thin film coating on biomedical Ti-6Al-4V alloy to enhance mechanical properties and biocompatibility
 		2016
13 Multi-objective selection and structural optimization of the gantry in a gantry machine tool for improving static, dynamic, and weight and cost performance
 		2016
14 Electrochemical corrosion behavior of carbon steel pipes coated with a protective ceramic layer using plasma and HVOF thermal spray techniques for oil and gas
 		2016
15 Fuzzy logic-based approach to investigate the novel uses of nano suspended lubrication in precise machining of aerospace AL tempered grade 6061
 		2015
16 Novel uses of SiO2nanolubrication in end milling of medium carbon steel for higher compressive residual stress measured by high-energy X-ray diffraction data
 		2015
17 Investigating the machinability of Al-Si-Cu cast alloy containing bismuth and antimony using coated carbide insert
 		2015
18 Investigation about the characterization of machine tool spindle stiffness for intelligent CNC end milling
 		2015
19 Improve wire EDM performance at different machining parameters - ANFIS modeling
 		2015
20 Fuzzy logic based model for predicting surface roughness of machined Al-Si-Cu-Fe die casting alloy using different additives-turning
 		2015

الجمعيات العلمية و النقابات :

Research Projects