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Development of nanoparticle suspended lubrication system in machining process for less power consumption and pollution

Research Authors
M.Sayuti, Ahmed A. D. Sarhan ,M. Hamdi
Research Journal
United Kingdom - Malaysia - Ireland Engineering Science Conference (UMIES 2011), University of Malaya, Kuala Lumpur, Malaysia
Research Rank
3
Research Year
2011

Compensation Method of the Machine Tool Spindle Thermal Displacement for Accurate Monitoring of Cutting Forces

Research Authors
Ahmed A. D. Sarhan, Atsushi Matsubara
Research Journal
International Journal of Materials and Manufacturing Processes
Research Pages
pp. 1511-1521
Research Rank
2
Research Vol
Vol. 26 - No. 2
Research Website
http://www.tandfonline.com/doi/abs/10.1080/10426914.2010.544825
Research Year
2011

High-Precision Machining by Measuring and Compensating the Error Motion of Spindle s Axis of Rotation in Radial Direction

Research Authors
Ahmed A. D. Sarhan, M. A. Hassan, Atsushi Matsubara, and M. Hamdi
Research Journal
International Journal of Engineering Letters
Research Pages
pp. 310-315
Research Rank
1
Research Vol
Vol. 19 - No. 4
Research Website
http://www.engineeringletters.com/issues_v19/issue_4/index.html
Research Year
2011

Monitoring of Tool Wear and Surface Roughness in End-Milling for intelligent machining

Research Authors
Ahmed A.D. Sarhan, and R. M. El-Zahry
Research Journal
International Journal of the Physical Sciences
Research Pages
pp. 2380 2392
Research Rank
2
Research Vol
Vol. 6 - No.10
Research Website
http://www.academicjournals.org/ijps/abstracts/abstracts/abstract2011/18May/Sarhan%20and%20El-Zahry.htm
Research Year
2011

A Fuzzy Logic Based Model to Predict the Fretting Fatigue Life of Aerospace Al7075-T6 Alloy

Research Authors
E. Zalnezhad, Ahmed A. D. Sarhan, M. Hamdi, Babak Asri
Research Journal
Journal of Applied Sciences
Research Pages
pp. 39-48
Research Rank
2
Research Vol
Vol. 1 - No. 12
Research Website
http://www.cjasr.com/images/manuscripts/December%2020121/CJASR-12-14-147.pdf
Research Year
2012

High gain transimpedance amplifier with current mirror load

Research Authors
Mohamed Atef
Research Department
Research Journal
21st International Conference on Mixed Design of Integrated Circuits & Systems (MIXDES),Poland
Research Pages
pp.220-223
Research Rank
3
Research Website
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6872189&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6872189
Research Year
2014

10Gb/s Inverter Based Cascode Transimpedance Amplifier in 40nm CMOS Technology

Research Authors
M. Atef, Hong Chen and H. Zimmermann
Research Department
Research Journal
16th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS2013), Karlovy Vary, Czech Republic
Research Pages
pp.72-75
Research Rank
3
Research Year
2013

An Auto-Tuning Method for the Scaling Factors of Fuzzy
Logic Controllers with Application to SISO Mechanical
System

Research Abstract
a PD-like self-tuning fuzzy controller based on tuning of scaling factors (STFC) by gradient descent method is presented. The tuning scheme allows the tuning of the scaling factors to be on-line. Tuning scaling factors is more effective and simpler than tuning all the parameters of standard fuzzy logic controller (FLC). The aim is to obtain good performance parameters, such as the rise time, the overshoot, the steady-state error. Experimental results of an inverted pendulum system with STFC controller show a better performance in the transient and steady state phases than other classical controllers like PD, PID, auto-tuned PID controller (PID-AT), and linear quadratic regulator (LQR).
Research Authors
Gamal Abdel Nasser, Abdel Badie Sharkawy, and M-Emad S. Soliman
Research Journal
International Journal of Materials, Mechanics and Manufacturing
Research Member
Research Pages
pp.49-55
Research Rank
1
Research Vol
Vol. 3, No. 1
Research Website
http://www.ijmmm.org/
Research Year
2015

An Auto-Tuning Method for the Scaling Factors of Fuzzy
Logic Controllers with Application to SISO Mechanical
System

Research Abstract
a PD-like self-tuning fuzzy controller based on tuning of scaling factors (STFC) by gradient descent method is presented. The tuning scheme allows the tuning of the scaling factors to be on-line. Tuning scaling factors is more effective and simpler than tuning all the parameters of standard fuzzy logic controller (FLC). The aim is to obtain good performance parameters, such as the rise time, the overshoot, the steady-state error. Experimental results of an inverted pendulum system with STFC controller show a better performance in the transient and steady state phases than other classical controllers like PD, PID, auto-tuned PID controller (PID-AT), and linear quadratic regulator (LQR).
Research Authors
Gamal Abdel Nasser, Abdel Badie Sharkawy, and M-Emad S. Soliman
Research Journal
International Journal of Materials, Mechanics and Manufacturing
Research Member
Abdel Badie Sharkawy
Research Pages
pp.49-55
Research Rank
1
Research Vol
Vol. 3, No. 1
Research Website
http://www.ijmmm.org/
Research Year
2015
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