About Journal

Journal Information

Publisher: Basrah University

Email:  bjes_editor@yahoo.com

Editor-in-chief: Professor Dr. A.A. Rajab

Print ISSN: 1814-6120

Online ISSN: 2311-8385

Optimal Fuzzy-Immune Fractional PID Control Scheme for Path Tracking of Robot manipulator

Basrah Journal for Engineering Science, Volume 18, Issue 2, Pages 1-14

This paper explains a new control structure based on the
artificial immune system, Fuzzy and fractional order PID
control schemes. In this paper immune feedback control
system, Fuzzy logic and fractional order control schemes will be
combined and optimized using clonal selection algorithm.
Fuzzy-immune fractional order PID Control schemes will be
used as a new controller for path tracking of the robot
manipulator. The performance of the proposed control scheme
is compared with fuzzy-immune PID control schemes. The
parameters of fractional PID and conventional PID controllers
are optimized using Clonal Selection Algorithm (CSA).
Simulation results state that optimal Fuzzy-immune fractional
PID is better than optimal fuzzy-immune PID Control schemes
for path tracking problem under the same condition. All control
schemes were tested using SIMULINK under MATLAB2014a

Numerical Simulation of Natural Convection in a Square Cavity Utilizing Nanofluid and Subjected to Air Stream Cooling

Basrah Journal for Engineering Science, Volume 18, Issue 2, Pages 15-25

In the present paper the natural convection in a square
cavity utilizing Cu-water nanofluid is examined numerically.
The cavity is exposed to cooling air stream with free stream
temperature (T∞) from left wall and its right and bottom walls
kept with cold and hot temperatures (TC) and (TH) respectively,
while the cavity top wall considered as adiabatic. The nanofluid
flow inside the cavity is assumed to be laminar and obeying to
Boussinesq approximation. The governing equations are solved
by finite volume method using ANSYS FLUENT code. The
results are accomplished with a range of nanofluid volume
fraction =0–0.16, Rayleigh number Ra=103–105 and free
stream Reynolds number Re∞=103–104. The effects of these
variables are displayed on the stream function (), isotherms ()
contours and average Nusselt number (Nuavg). The results show
the heat transfer rate augmented with increasing , Ra and Re∞.
Also, the increment in both  and Ra increases the circulation
inside the cavity while increasing Re∞ produces secondary
vortices and reduces circulation at the main vortex of the cavity.
The results of local Nusselt number (Nu) and isotherms () are
compared with other studies and show good agreement with
maximum error values 14.28% and 3.2% respectively.

Study the Effected Parameters on Vibration Analysis of Cantilever Beam with a Bolted Joint

Basrah Journal for Engineering Science, Volume 18, Issue 2, Pages 26-39

The main objective of the present paper is to study the
vibration behavior of cantilever beam with a bolted joint of
different lap’s type (i.e. Single lap, Double lap) for free and
forced vibration. The effects of various parameters such as beam
configuration, preload, harmonic force magnitude and harmonic
force positions on natural frequency, mode shape, and amplitude
have been investigated. The experimental work carried out
during this study included material selection, chemical
composition test, tension test, preparation configurations of
beam, free and forced vibration tests at per- torques range (6-
60N.m) and at rotational speeds range (300-900RPM).
Numerically, a general purpose finite element method (ANSYS
Ver.16.1 package) has been used. The results show that the
natural frequencies of single lap (1Bolt, 2Bolt) bolted beams were
roughly equal to those of intact beam. But, in double lap bolted
beam were slightly lower than those of intact beam with same
profile. Moreover, as preload or pre-torque on the bolt increases,
the natural frequency becomes constant for all types of beam
configuration. For forced vibration, the vibration amplitude is
largely dependent on magnitude and position of harmonic force.
The validation results present a good agreement with numerical
results as the largest margin of error is about (5%)

Investigation of the Effect of Loading Paths in the Tube Hydroforming Process

Basrah Journal for Engineering Science, Volume 18, Issue 2, Pages 40-52

The precise control of internal pressure and
axial feeding loading paths important influences the
final tube quality. In this research the impact of
loading path of the tube hydroforming process and
final part requirements ( i.e. thickness specification
and shape conformation) were studied numerically.
Small bulge shape tube hydroforming parts were
utilized in the finite element analyses to get several
guidelines on the effect of the relation between the
internal pressure and axial compressive feeding
programs. Two dimension model of bulge shape tube
(50 mm) bulge width has been developed from
cylindrical tube with thickness (2mm) of the copper
and (60 mm) outer diameter. A commercial available
finite element program code (ANSYS 11), is used to
perform the numerical simulation of the tube
hydroforming operation. The results demonstrate
that, the loading path has very important influenced
on the thickness distribution over the tube and
capability attained the target shape of the required
product.

Numerical Investigation of the Effect of Wire Screen Mesh Specification and Evaporator Length on Thermal Performance of Cylindrical Heat Pipe

Hassanain Ghani Hameed; Abudl-Muhsin A. Rageb

Basrah Journal for Engineering Science, Volume 14, Issue 2, Pages 240-254

A numerical model has been developed to determine the effect of the wire screen mesh (wick) type on the heat transfer performance of copper–water wicked heat pipe. This model represented as steady-state incompressible flow. The governing equations in cylindrical coordinates have been solved in vapor region, wick structure and wall region, using finite difference with forward-backward upwind scheme. The results show that increasing the mesh number led to decreasing the maximum heat transfer limit and increasing the capillary pressure. While, for the same heat input the operating temperature of the heat pipe increase when the mesh number increase. Also, it was found that increasing the evaporation length, with constant condensation length, decrease the operating temperature and increase the maximum heat transfer limit. For verification of the current model, the results of liquid pressure drop for a heat pipe have been compared with the previous study for the same problem and a good agreement has been achieved.

Optimal Fuzzy-Immune Fractional PID Control Scheme for Path Tracking of Robot manipulator

Basrah Journal for Engineering Science, Volume 18, Issue 2, Pages 1-14

This paper explains a new control structure based on the
artificial immune system, Fuzzy and fractional order PID
control schemes. In this paper immune feedback control
system, Fuzzy logic and fractional order control schemes will be
combined and optimized using clonal selection algorithm.
Fuzzy-immune fractional order PID Control schemes will be
used as a new controller for path tracking of the robot
manipulator. The performance of the proposed control scheme
is compared with fuzzy-immune PID control schemes. The
parameters of fractional PID and conventional PID controllers
are optimized using Clonal Selection Algorithm (CSA).
Simulation results state that optimal Fuzzy-immune fractional
PID is better than optimal fuzzy-immune PID Control schemes
for path tracking problem under the same condition. All control
schemes were tested using SIMULINK under MATLAB2014a

Prediction of Ultimate Moment Capacity of Steel- Concrete Composite Beams Using Artificial Neural Networks

Rana A. Mtashet; Dr Nabeel A. Jasim; and Dr Majid A. Alwan

Basrah Journal for Engineering Science, Volume 13, Issue 1, Pages 1-15

The paper deals with neural networks identification of ultimate moment capacity of steel-concrete composite beams on base of experimental results. Basic information on artificial neural networks and its parameters suitable for analysis of experimental results are given. Two types of neural network algorithms are used. Results of identification are reported. The results show that artificial neural networks are highly suitable for assessing the ultimate moment capacity of composite section. The proposed neural network was also used to explore the effect of the various parameters on the behaviour of composite beams.

Performance Characteristics of Parallel Slip Flow Microchannel Heat Exchanger

Hazim Abdulrazzaq Hanoon; Ahmed K. M. Alshara

Basrah Journal for Engineering Science, Volume 11, Issue 1, Pages 16-30

Parallel flow microchannel heat exchanger performance was numerically investigated, for laminar, 3-D, incompressible and steady state flow with slip flow and temperature jump conditions. The continuity, Navier-Stokes equations and the energy equations for the hot and cold fluids were solved by using finite volumes method and SIMPLE algorithm method with FORTRAN code to obtain the velocity and temperature distributions for the two fluids and the separated wall between them. The main investigation parameter that affected on the performance and effectiveness of heat exchanger are: Reynolds number Re, thermal conductivity ratio Kr, Knudsen number Kn, thickness of separating wall, heat capacity ratio Cr and aspect ratio α. Increasing of Reynolds number, Knudsen number, thickness of separating wall, heat capacity ratio and aspect ratio each separately leads to decrease the effectiveness while increasing of thermal conductivity ratio up to 10 leads to increase the effectiveness. Also, it is found that friction number and Nusselt number both decreases with increasing Knudsen number

Proposed Algorithm of Tone Reservation PAPR Reduction In OFDM System

Hassan Abbas Nasir; Hussain K Chaiel

Basrah Journal for Engineering Science, Volume 10, Issue 1, Pages 13-22

Orthogonal frequency division multiplexing (OFDM) has become a Popular modulation method in high-speed wireless communication systems due to its high data rates transmission capability and robustness against multipath fading effects. One of the major drawbacks of OFDIVI at the transmitter side is the high peak-to-average power ratio (PAPR) of the OFDM signal. In this paper, an algorithm is proposed to reduce the peak to average Power ratio of OFDM signal with large number of sub-carriers. This algorithm is based on lone reservation method. The computer simulation tests shoe that the suggested algorithm reduces the PAPR to a factor of S25 dB and needs less number of iterations as compared with the traditional tone reservation algorithm.

Performance Characteristics of Parallel Slip Flow Microchannel Heat Exchanger

Hazim Abdulrazzaq Hanoon; Ahmed K. M. Alshara

Basrah Journal for Engineering Science, Volume 11, Issue 1, Pages 16-30

Parallel flow microchannel heat exchanger performance was numerically investigated, for laminar, 3-D, incompressible and steady state flow with slip flow and temperature jump conditions. The continuity, Navier-Stokes equations and the energy equations for the hot and cold fluids were solved by using finite volumes method and SIMPLE algorithm method with FORTRAN code to obtain the velocity and temperature distributions for the two fluids and the separated wall between them. The main investigation parameter that affected on the performance and effectiveness of heat exchanger are: Reynolds number Re, thermal conductivity ratio Kr, Knudsen number Kn, thickness of separating wall, heat capacity ratio Cr and aspect ratio α. Increasing of Reynolds number, Knudsen number, thickness of separating wall, heat capacity ratio and aspect ratio each separately leads to decrease the effectiveness while increasing of thermal conductivity ratio up to 10 leads to increase the effectiveness. Also, it is found that friction number and Nusselt number both decreases with increasing Knudsen number

Study the Effect of Baghdad City on the Tigris River Water Pollution

Hussain M. Al-Shemari; Ihssan A. Abdulhussain

Basrah Journal for Engineering Science, Volume 13, Issue 1, Pages 140-156

Water pollution is the most important tasks facing all countries in the world to obtain suitable water for municipal, industrial, and agricultural uses. This study concerns with the effect of Bagdad city waste water on pollution and quality of Tigris River water using index of Aquifer water quality (IAWQ). The accuracy of chemical analyses of the selected water samples are conduced according to world standards of health classifications. Results of these analysis show that only two types of the 13th tested sample are ( certain ) ,while the other patterns ( models )are of the ( probable certain ). Cluster analysis is applied to evaluate the studied water characteristic. The results of the cluster analysis show the presence of three varying groups in their impact on their chemical properties on water .According to the cluster analysis and permissible limits of the variables, three chemical variables cadmium, lead, and calcium are selected to indicate its impact on the studied area. It is found that when using (IAWG) for the Tigris River, there is an increase in the values of the index along the river from its entry to Baghdad until it meets the Diyala river, showing a clear pollution of the Tigris river water.

A modified fixed phase iterative recovery algorithm for restoration of gray-Scale blurred images

Jassim M . Abdul-Jabbar

Basrah Journal for Engineering Science, Volume 9, Issue 1, Pages 131-142

A novel iterative method for the restoration of gray-scale blurred images is presented. The method is an enhanced modification of the Fixed-Phase Iterative Algorithm (FPIA). A blurred image is enhanced by Laplace operator during the FPIA method on each iteration. This modification is originally supported theoretically by a derivation of some iterative deploring methods that are based on the enhanced version of the blurred image instead of the blurred image itself only.
The modified fixed phase iterative algorithm (MFPIA) method is examined to restore some Gaussian-and motion-blurred gray-scale images. The restored images via this proposed method are compared with the original FPIA method. From the comparison, it is apparent that the MFPIA method is better from human visual measurements point of view with less number of iterations. In addition to that benefit the restoration by the FPIA method results in images of bad quality even with high number of iterations.

Optimal Fuzzy-Immune Fractional PID Control Scheme for Path Tracking of Robot manipulator

Basrah Journal for Engineering Science, Volume 18, Issue 2, Pages 1-14

This paper explains a new control structure based on the
artificial immune system, Fuzzy and fractional order PID
control schemes. In this paper immune feedback control
system, Fuzzy logic and fractional order control schemes will be
combined and optimized using clonal selection algorithm.
Fuzzy-immune fractional order PID Control schemes will be
used as a new controller for path tracking of the robot
manipulator. The performance of the proposed control scheme
is compared with fuzzy-immune PID control schemes. The
parameters of fractional PID and conventional PID controllers
are optimized using Clonal Selection Algorithm (CSA).
Simulation results state that optimal Fuzzy-immune fractional
PID is better than optimal fuzzy-immune PID Control schemes
for path tracking problem under the same condition. All control
schemes were tested using SIMULINK under MATLAB2014a

Modeling Of Self-Organization Fish School System By Neural Network System

Mofeed T. Rashid

Basrah Journal for Engineering Science, Volume 15, Issue 1, Pages 14-19

In this paper, a Neural Network (NN) model
system for self-organization fish school system is
identified. Monitoring and data extraction from fish
school video has been achieved by using image
processing technique in order to generate the data
suitable for parameter identification of NN model
system. Data obtained have been used to identify the
parameters of a model based on a black-box
represented by nonlinear autoregressive exogenous
model (NARX). The obtained results show that this
system can be used for multi robot formation system.
Keywords Self organizing, Fish school, Neural network
model, NARX model.

Keyword Cloud