Abdel Magid Hamouda | Qatar University (original) (raw)

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Papers by Abdel Magid Hamouda

Research paper thumbnail of Axial crushing behavior and energy absorption efficiency of corrugated tubes

Materials & Design, 2014

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Research paper thumbnail of Improving microstructural and mechanical response of new AZ41 and AZ51 magnesium alloys through simultaneous addition of nano-sized Al2O3 particulates and Ca

Journal of Alloys and Compounds, 2013

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Research paper thumbnail of Contributor contact details

Advances in Military Textiles and Personal Equipment, 2012

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Research paper thumbnail of Multifunctional hierarchical honeycombs

Qatar Foundation Annual Research Forum Proceedings, 2012

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Research paper thumbnail of Road traffic accidents in rich developing countries: the caseof the State of Qatar

Qatar Foundation Annual Research Forum Proceedings, 2010

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Research paper thumbnail of Bird strike analysis on a typical helicopter windshield with different lay-ups

Journal of Mechanical Science and Technology, 2014

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Research paper thumbnail of Development of new magnesium based alloys and their nanocomposites

Journal of Alloys and Compounds, 2011

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Research paper thumbnail of A new motorcycle helmet liner material: The finite element simulation and design of experiment optimization

Materials & Design, 2007

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Research paper thumbnail of Artificial neural network-based kinematics Jacobian solution for serial manipulator passing through singular configurations

Advances in Engineering Software, 2010

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Research paper thumbnail of The development of an online knowledge-based expert system for machinability data selection

Knowledge Based Systems, 2003

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Research paper thumbnail of Generalized fuzzy model for metal cutting data selection

Journal of Materials Processing Technology, 1999

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Research paper thumbnail of An artificial neural network strategy for the forward kinematics of robot control

International Journal of Intelligent Systems Technologies and Applications, 2007

This paper is devoted to the development and implementation of the neural network technique to so... more This paper is devoted to the development and implementation of the neural network technique to solve the forward kinematics problems of robot control, which are mainly singularities and non-linearities. In this paper, a network has been trained to learn the set of end effecter positions X, Y and Z from a given set of joint angle positions for a 6 DOF industrial robot. Training data sets were uniformly distributed over a particular region of the robot's working area so that the network can make good generalisation for the ...

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Research paper thumbnail of Simulation of motorcyclist's kinematics during impact with W-Beam guardrail

Advances in Engineering Software, 2006

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Research paper thumbnail of Testing of composite materials at high rates of strain: advances and challenges

Journal of Materials Processing Technology, 1998

This review paper is devoted to discussing the development and the present state of some key aspe... more This review paper is devoted to discussing the development and the present state of some key aspects of the mechanical behaviour of composite materials under impact loading. The experimental techniques employed for determining the behaviour of composite materials at high strain rate in tensile, compressive and shear loading are presented and discussed. The discussion includes their fundamental advantages and limitations. Directions for future research are also indicated.

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Research paper thumbnail of Web-based machinability handbook for metal cutting data selection

Journal of Computer Applications in Technology, 2003

ABSTRACT This article is devoted to the development and implementation of a web-based fuzzy exper... more ABSTRACT This article is devoted to the development and implementation of a web-based fuzzy expert system (FES) for machinability data selection. The FES has been developed using object oriented programming, dynamic link library (DLL) and Axtive-X Control. It can be easily incorporated into internet and intranet environments and can be accessed virtually from any place. A simplified fuzzy set-handling object has been developed in order to save resources. A weighted-centroid rather than a union centroid has been used in output defuzzification. Comparison between these two methods is also made and discussed.

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Research paper thumbnail of Development of Revolute-Joint Element with Rotation Limits, Locking, Resistive Moment and Damping

Engineering With Computers, 2002

. The revolute-joint is an important component of a mechanical system. Thus, the motion simulatio... more . The revolute-joint is an important component of a mechanical system. Thus, the motion simulation of multibodies connected with revolute-joints is of common interest. A simple revolute-joint can be easily represented in a numerical way, whereby the bending moment at the particular joint equals zero. Formulation becomes complicated when involving bending limits, the resistive moment and the damping effect. Furthermore, several bodies connected with revolute-joints form a complex system. This has been particularly useful for simulating a multibody system. A novel revolute-joint model is proposed in this paper. Several possible methods are suggested to handle bending limits. The incor-poration of the resistive moment and damping effects are also presented. The numerical stability of the revolute element is discussed, and a stability criterion suggested. The revolute-joint element is incorporated into an explicit finite difference code developed by the authors. Numerical examples are shown for different methods and conditions.

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Research paper thumbnail of A fuzzy logic based expert system for machinability data-on-demand on the Internet

Journal of Materials Processing Technology, 2002

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Research paper thumbnail of Optimization of fuzzy rules design using genetic algorithm

Advances in Engineering Software, 2000

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Research paper thumbnail of Development of genetic algorithm-based fuzzy rules design for metal cutting data selection

Robotics and Computer-integrated Manufacturing, 2002

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Research paper thumbnail of Machinability data representation with artificial neural network

Journal of Materials Processing Technology, 2003

ABSTRACT Machinability data selection is a crucial step in a manufacturing environment. It plays ... more ABSTRACT Machinability data selection is a crucial step in a manufacturing environment. It plays an important role in efficient utilization of machine tools and significantly influences the overall manufacturing cost. This paper is devoted to studying the feasibility of using neural network in representing machinability data. The feed-forward neural network is used to predict optimum machining parameters under different machining conditions. The back propagation (BP) method is used to optimize the network component representation. An object-oriented neural network-handling library is developed and implemented in the turning process. The authors introduce a new type of artificial neuron in the design of neural network for turning process, namely the Product neuron, which has multiplication instead of summation. The characteristics and applications of the new neuron are explained in this paper. The proposed network unveils the possibility of developing an expert system for machinability data selection based on neural networks. Comparisons with fuzzy logic representation in the literatures are made.

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Research paper thumbnail of Axial crushing behavior and energy absorption efficiency of corrugated tubes

Materials & Design, 2014

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Research paper thumbnail of Improving microstructural and mechanical response of new AZ41 and AZ51 magnesium alloys through simultaneous addition of nano-sized Al2O3 particulates and Ca

Journal of Alloys and Compounds, 2013

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Contributor contact details

Advances in Military Textiles and Personal Equipment, 2012

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Research paper thumbnail of Multifunctional hierarchical honeycombs

Qatar Foundation Annual Research Forum Proceedings, 2012

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Research paper thumbnail of Road traffic accidents in rich developing countries: the caseof the State of Qatar

Qatar Foundation Annual Research Forum Proceedings, 2010

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Research paper thumbnail of Bird strike analysis on a typical helicopter windshield with different lay-ups

Journal of Mechanical Science and Technology, 2014

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Research paper thumbnail of Development of new magnesium based alloys and their nanocomposites

Journal of Alloys and Compounds, 2011

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Research paper thumbnail of A new motorcycle helmet liner material: The finite element simulation and design of experiment optimization

Materials & Design, 2007

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Artificial neural network-based kinematics Jacobian solution for serial manipulator passing through singular configurations

Advances in Engineering Software, 2010

Bookmarks Related papers MentionsView impact

Research paper thumbnail of The development of an online knowledge-based expert system for machinability data selection

Knowledge Based Systems, 2003

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Generalized fuzzy model for metal cutting data selection

Journal of Materials Processing Technology, 1999

Bookmarks Related papers MentionsView impact

Research paper thumbnail of An artificial neural network strategy for the forward kinematics of robot control

International Journal of Intelligent Systems Technologies and Applications, 2007

This paper is devoted to the development and implementation of the neural network technique to so... more This paper is devoted to the development and implementation of the neural network technique to solve the forward kinematics problems of robot control, which are mainly singularities and non-linearities. In this paper, a network has been trained to learn the set of end effecter positions X, Y and Z from a given set of joint angle positions for a 6 DOF industrial robot. Training data sets were uniformly distributed over a particular region of the robot's working area so that the network can make good generalisation for the ...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Simulation of motorcyclist's kinematics during impact with W-Beam guardrail

Advances in Engineering Software, 2006

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Testing of composite materials at high rates of strain: advances and challenges

Journal of Materials Processing Technology, 1998

This review paper is devoted to discussing the development and the present state of some key aspe... more This review paper is devoted to discussing the development and the present state of some key aspects of the mechanical behaviour of composite materials under impact loading. The experimental techniques employed for determining the behaviour of composite materials at high strain rate in tensile, compressive and shear loading are presented and discussed. The discussion includes their fundamental advantages and limitations. Directions for future research are also indicated.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Web-based machinability handbook for metal cutting data selection

Journal of Computer Applications in Technology, 2003

ABSTRACT This article is devoted to the development and implementation of a web-based fuzzy exper... more ABSTRACT This article is devoted to the development and implementation of a web-based fuzzy expert system (FES) for machinability data selection. The FES has been developed using object oriented programming, dynamic link library (DLL) and Axtive-X Control. It can be easily incorporated into internet and intranet environments and can be accessed virtually from any place. A simplified fuzzy set-handling object has been developed in order to save resources. A weighted-centroid rather than a union centroid has been used in output defuzzification. Comparison between these two methods is also made and discussed.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Development of Revolute-Joint Element with Rotation Limits, Locking, Resistive Moment and Damping

Engineering With Computers, 2002

. The revolute-joint is an important component of a mechanical system. Thus, the motion simulatio... more . The revolute-joint is an important component of a mechanical system. Thus, the motion simulation of multibodies connected with revolute-joints is of common interest. A simple revolute-joint can be easily represented in a numerical way, whereby the bending moment at the particular joint equals zero. Formulation becomes complicated when involving bending limits, the resistive moment and the damping effect. Furthermore, several bodies connected with revolute-joints form a complex system. This has been particularly useful for simulating a multibody system. A novel revolute-joint model is proposed in this paper. Several possible methods are suggested to handle bending limits. The incor-poration of the resistive moment and damping effects are also presented. The numerical stability of the revolute element is discussed, and a stability criterion suggested. The revolute-joint element is incorporated into an explicit finite difference code developed by the authors. Numerical examples are shown for different methods and conditions.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A fuzzy logic based expert system for machinability data-on-demand on the Internet

Journal of Materials Processing Technology, 2002

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Optimization of fuzzy rules design using genetic algorithm

Advances in Engineering Software, 2000

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Development of genetic algorithm-based fuzzy rules design for metal cutting data selection

Robotics and Computer-integrated Manufacturing, 2002

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Machinability data representation with artificial neural network

Journal of Materials Processing Technology, 2003

ABSTRACT Machinability data selection is a crucial step in a manufacturing environment. It plays ... more ABSTRACT Machinability data selection is a crucial step in a manufacturing environment. It plays an important role in efficient utilization of machine tools and significantly influences the overall manufacturing cost. This paper is devoted to studying the feasibility of using neural network in representing machinability data. The feed-forward neural network is used to predict optimum machining parameters under different machining conditions. The back propagation (BP) method is used to optimize the network component representation. An object-oriented neural network-handling library is developed and implemented in the turning process. The authors introduce a new type of artificial neuron in the design of neural network for turning process, namely the Product neuron, which has multiplication instead of summation. The characteristics and applications of the new neuron are explained in this paper. The proposed network unveils the possibility of developing an expert system for machinability data selection based on neural networks. Comparisons with fuzzy logic representation in the literatures are made.

Bookmarks Related papers MentionsView impact