Books by ABDULKAREEM HASSAN
After completing the course, you should be able to: Analyze forces and find out the resultant f... more After completing the course, you should be able to: Analyze forces and find out the resultant forces in two and three dimension Differentiate between various type of supports and draw free-body-diagram Compute the reaction force, internal forces and bending moment at a specific point on a simple structure (beam, frame, truss)
Papers by ABDULKAREEM HASSAN
Basrah journal for engineering science
Over the past years, researchers have been focusing on development the robotics and actuation due... more Over the past years, researchers have been focusing on development the robotics and actuation due to increase demand for these applications like industrial engineering, oil industry, healthcare, aerospace … etc. This work involves the design, construction and control of the Shape Memory Alloy (SMA) actuator. The industrial actuator has many characteristics able to be measured, which have an impact on the efficiency and effectiveness of the actuator while the execution of its tasks. The most important measurable characteristics are repeatability and accuracy. The current system typically is using Nitinol (Nickle Titanium Naval Ordinance Lab), which is one of the Shape Memory Alloy that contract when applying specific heat on it, and it can be used as an actuator. This work presents SMA in the shape of a spring to operate and control the accurate position of the 2-D system which containing four SMA springs, two SMA springs for the x-axis and two SMA springs for the y-axis. The theoret...
3RD INTERNATIONAL CONFERENCE ON ENERGY AND POWER, ICEP2021
Development of an accurate and rapid spectrophotometric method for the determination of loratadin... more Development of an accurate and rapid spectrophotometric method for the determination of loratadine drug using Prussian blue in pure and pharmaceutical formulation
International Journal of Computer Applications, 2013
In this paper, maximum power point tracking of solar panel using artificial neural network contro... more In this paper, maximum power point tracking of solar panel using artificial neural network control is developed and simulated in Mat lab. The Solar panel is modeled using conventional five parameter model and adjusted according to the manufacturer's datasheet values by calculating its internal resistance using an iterative process, Newton-Raphson method. A simple DC-DC Boost converter is used to transfer the maximum power to the load which is achieved by using a control strategy that changes the duty cycle of this converter accordingly. Artificial Neural Network is used to generate the reference values, according to the changing atmospheric conditions, that are required for the control strategy. Training of the neural network is done using the Mat lab tool box using feed forward back propagation training algorithm and mean square error algorithm is used for calculating the error. The proposed model is compared with conventional Perturb and Observe technique and shown that method using ANN gives better results.
AIMS Materials Science
In this study, fracture parameters of epoxy/glass functionally graded composite were determined e... more In this study, fracture parameters of epoxy/glass functionally graded composite were determined experimentally using the digital image correlation (DIC) method. A functionally graded material (FGM) with continuous variation in elastic properties was manufactured by gravity casting in vertical template. A 30% volume fraction of glass spheres was dispersed in a low viscosity resin. A single edge crack specimen was examined in a three-point bending test under mode Ⅰ loading with cracks along the gradient tendency of the material properties. The mechanical properties of FGM were calculated according to ASTM D638. The DIC technique was adopted to obtain the deformation region around the crack tip. William's series was employed to calculate stress intensity factor and T-stress. The experimental results then verified by solving the FE model using ABAQUS program. The comparison between DIC and numerical results illustrated a largely acceptable achievement.
International Journal of Engineering & Technology
This research involved a study of the heat treatment conditions effect on the mechanical properti... more This research involved a study of the heat treatment conditions effect on the mechanical properties of martensitic stainless steel type AISI 410. Heat treatment process was hardening of the metal by quenching at different temperature 900°C, 950°C, 1000°C, 1050°C and 1100°C, followed by double tempering at 200°C, 250°C, 300°C, 350°C, 400°C, 450°C, 500°C, 550°C, 600°C, 650°C and 700°C, were evaluated and study of some mechanical properties such as hardness, impact energy and properties of tensile test such as yield and tensile strength is carried out. Multiple outputs Artificial Neural Network model was built with a Matlab package to predict the quenching and tempering temperatures. Also, linear and nonlinear regression analyses (using Data fit package) were used to estimate the mathematical relationship between quenching and tempering temperatures with hardness, impact energy, yield, and tensile strength. A comparison between experimental, regression analysis and ANN model show that ...
Universal Journal of Mechanical Engineering, 2016
Universal Journal of Mechanical Engineering, 2015
Universal Journal of Mechanical Engineering, 2015
Universal Journal of Mechanical Engineering, 2016
Since it is easy to measure the applied torque, an empirical equation to predict the generated sh... more Since it is easy to measure the applied torque, an empirical equation to predict the generated shear stress amplitude from the applied cyclic torque (under a low cyclic fatigue) has been carried out in this investigation. The equation has been expressed for a Brass material with a frequency of 375rpm. The conducted tests in this investigation was completely reversed based on strain at 250 o C whereas the shear strain amplitude, number of cycles to failure, and the maximum cyclic applied torque have been recorded during the tests. A fabricated rig has been used to conduct the experimental fatigue test at high temperature. The fatigue cyclic coefficients were estimated by applying the best fit equation for the recorded data. Ramberg-Osgood coefficients were found by substituting the fatigue cyclic coefficients in the relations that given by McClaflin and Fatemi. The empirical equation to predict the value of the shear stress amplitude was found for each value of the maximum torque that exposure to the material. The best fit of the shear stress amplitude that results from Ramberg-Osgood equation and with the recorded cyclic torque has been estimated. The effect of the temperature was also taken in the consideration on the fatigue strength which clearly observed that the high temperature lead to reduce the fatigue strength.
This paper presents the implementation of element free Galerkin method for the stress analysis of... more This paper presents the implementation of element free Galerkin method for the stress analysis of structures having cracks at the interface of two dissimilar materials. The material discontinuity at the interface has been modeled using a jump function with a jump parameter that governs its strength. The jump function enriches the approximation by the addition of special shape function that contains discontinuities in the derivative. The trial and test functions of the weak form are constructed using moving least-square interpolants in each material domain. An intrinsic enrichment criterion with enriched basis has been used to model the crack tip stress fields. The mixed mode (complex) stress intensity factors for bi-material interface cracks are numerically evaluated using the modified domain form of interaction integral. The numerical results are obtained for edge and center cracks lying at the bi-material interface, and are found to be in good agreement with the reference solution...
Universal Journal of Mechanical Engineering, 2016
This work aims to investigate experimentally the parameters affecting on the wear debris and the ... more This work aims to investigate experimentally the parameters affecting on the wear debris and the temperature rise due to friction as well as developing the artificial neural network model (ANN) using MATLAB program for predicting the wear, and temperature of disc and pad. Two types of disc made from aluminum and steel are slipping against pad and carried out under dry conditions at different time, rotational speed, and load to examine the wear. The results show that the wear and temperature are increased with increasing the sliding speed, and load or contact time. In addition, the wear of pad is higher when it's contact with aluminum disc, while the temperature of pad is higher when its contact with steel. The ANN model was successfully shows that there is a high ability to predict the wear and temperature as well as the results of model corresponding with the experimental results.
Since it is easy to measure the applied torque, an empirical equation to predict the generated sh... more Since it is easy to measure the applied torque, an empirical equation to predict the generated shear stress amplitude from the applied cyclic torque (under a low cyclic fatigue) has been carried out in this investigation. The equation has been expressed for a Brass material with a frequency of 375rpm. The conducted tests in this investigation was completely reversed based on strain at 250 o C whereas the shear strain amplitude, number of cycles to failure, and the maximum cyclic applied torque have been recorded during the tests. A fabricated rig has been used to conduct the experimental fatigue test at high temperature. The fatigue cyclic coefficients were estimated by applying the best fit equation for the recorded data. Ramberg-Osgood coefficients were found by substituting the fatigue cyclic coefficients in the relations that given by McClaflin and Fatemi. The empirical equation to predict the value of the shear stress amplitude was found for each value of the maximum torque that exposure to the material. The best fit of the shear stress amplitude that results from Ramberg-Osgood equation and with the recorded cyclic torque has been estimated. The effect of the temperature was also taken in the consideration on the fatigue strength which clearly observed that the high temperature lead to reduce the fatigue strength.
This work aims to investigate experimentally the parameters affecting on the wear debris and the ... more This work aims to investigate experimentally the parameters affecting on the wear debris and the temperature rise due to friction as well as developing the artificial neural network model (ANN) using MATLAB program for predicting the wear, and temperature of disc and pad. Two types of disc made from aluminum and steel are slipping against pad and carried out under dry conditions at different time, rotational speed, and load to examine the wear. The results show that the wear and temperature are increased with increasing the sliding speed, and load or contact time. In addition, the wear of pad is higher when it's contact with aluminum disc, while the temperature of pad is higher when its contact with steel. The ANN model was successfully shows that there is a high ability to predict the wear and temperature as well as the results of model corresponding with the experimental results.
This paper employs rigid-plastic finite element DEFORMTM 3D software to estimate the plastic defo... more This paper employs rigid-plastic finite element DEFORMTM 3D software to estimate the plastic deformation behavior of an aluminum billet during its axisymmetric extrusion through a conical die. The die and container are assumed to be rigid bodies and the temperature change induced during extrusion is ignored. The important parameters which effect on the extrusion process were assumed to be: the reduction of area (0.75), semi-cone die angles (5, 6, 7, 8, 10, 12, and 14 o) coefficient of friction is 0.05 and the extrusion speed is 250 mm/s. Under various extrusion conditions, the present numerical analysis estimates the stresses, the die load and the flow velocity of the billet at the die exit. Genetic algorithm coupled with neural network is employed to find optimum die angle leading to minimum stresses without any constraint. The simulation results confirm the suitability of the current finite element software for modeling the three-dimensional cold extrusion of aluminum rod.
Abstract One of the rnain objectives of this work wass to design and build a biaxial creep machin... more Abstract One of the rnain objectives of this work wass to design and build a biaxial creep machine to which one could apply loads in pure tension. The maximum tensile stress was chosen to investigate the properties of the materials far beyond the linear viscoelastic range. In the present work, class A accuracy was sought so that very small strain of the order of (0.002) can be detected to meet the British Standard (BS 4618). The new creep machine was designed to carry out biaxial tension-stress creep and recovery tests on flat sheet specimens to provide detailed information about the viscoelastic behaviour of the material. This machine was capable of withstanding a maximum tensile load of (3000 N) which yields a stress of (50 MPa) (for a sample has cross sectional area of 150 mm2) for variabie time duration, that correspond to maximum tensile strain of (0.26%). A pre-load of (200 N) was applied to the specimen to keep the loading system in tension so that to avoid errors arising from the slack in the system.
This work does not use the classical methods (simplex method, Branch and Bound techniques) which ... more This work does not use the classical methods (simplex method, Branch and Bound techniques) which were normally used for solving Linear programming models. The proposed algorithm was considered for implementation with Artificial Neural Network (ANN) using MatLab tool box. It was found that implementation of the neural network will provide comprehensive results when applied with any linear programming models. Besides Artificial Neural Networks are artificial intelligence methods for modeling complex target functions, and are considered to be among the most effective learning methods currently known. Implementation in solving linear programming models became very interesting, as ANNs became appropriate solution where a huge data (number of variables and constraints) is considered. In this work, general model of ANN specified for solving the problem of linear programming will be shown and discussed. The results show a great improvement in prediction of results with a minimum percentage error.
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Books by ABDULKAREEM HASSAN
Papers by ABDULKAREEM HASSAN
The present experimental and theoretical investigation is
primarily concerned with analysis and prediction of nonlinear
viscoelastic creep and recovery of solid polymers under uniaxial and
biaxial tensile loading.
In the experimental part of the study, an equibiaxial creep
machine is designed and constructed that is capable of applying a
maximum tensile load of 3000 N on a sheet specimen. A pre-load of
100 N was applied to the specimen to keep the loading system in
tension to avoid error arising from slackness in the system. The
tensile load was applied to the specimen by means of 1:10 lever and
weight. The procedure of loading and unloading in creep machine is
performed manually using dead weight with aid of hydraulic jack
that gives a comparatively small dynamic overshoot. Since the
theoretical part stipulates the effect of temperature on the nonlinear
viscoelastic behaviour of solid polymers, this necessitated the
construction of a special temperature control unit with a temperature
range of 20-50 °C. The hot air supply is thermostatically controlled
by an electrical circuit with an accuracy of ±0.2 °C. Linear variable
differential transducers (LVDT) are used to measure the longitudinal
and lateral strains during the applied tensile load. Transducers are
directly connected to an electronic controlling unit. The amplified
outputs are connected to 12-bit A/D converter board with a
microcomputer. The collection of data from the strain measurement
is performed by the computer at discrete times using an A/D
interface programme.
In the theoretical part of the study, a three-dimensional finite
element modified model, in which Poisson's ratio is considered as a time dependent variable, are used to predict creep and recovery
responses that reach into nonlinear stress-strain range. In this model
the physical aging effect is taken into account in the long-term creep
analysis, and the applied load was equibiaxial tensile load. The linear
material parameters and nonlinear stress-dependent material
properties in the Schapery representation are derived on the basis of
data obtained in uniaxial tensile creep data. Practical case studies
such as plate with central hole and double edged cracked components
are also investigated. The numerical predictions have successfully
been compared to previous other's experimental and theoretical
results and they fond in a good agreement.