Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Simulation

Instructional Design for Engineering System Based Software Cycle Methodology (IDSCM)

Iman S. Kareem

Engineering and Technology Journal, 2019, Volume 37, Issue 4C, Pages 418-426
DOI: 10.30684/etj.37.4C.6

An instructional program has been prepared depending on instructional design concepts to present concepts and information of an engineering system. The design and construction of an instructional program have done by using analysis design implementation and evaluation (ADDIE) instructional model. It is used for simulation the designing of engineering system using modern and intelligent controller technique. The simulation design was dependent on new methodology is named software cycle method. To achieve the aims from the program a questionnaire is prepared to evaluate the program by a number of experts and beneficiary groups. The result of the questionnaire is used as a feedback process. A development is done to achieve the link between two different techniques. Designing instructional program under windows to be used by designer engineers and students may help to learn the design steps for modern technique and intelligent technique.

Influence of Risks on Project Planning Decision

Alaa Salahudien Araibi; Suaad Kh. Ibraheem; AllaEldin H. Kassam

Engineering and Technology Journal, 2016, Volume 34, Issue 6, Pages 1247-1252

In this research, a "Project planning / Risk analysis" model that consists of four modules has been developed to aid the decision-maker in planning different types of projects and analyze the risks. These modules are: Planning, Decision-Making Process 1, Risk Analysis, and Decision-Making Process 2.The model can be used to generate different scenarios of project plan according to the decision-maker's opinion in choosing the type of probability distribution, changing the probability/impact of the risk occurrences and/or changing the input values (time/cost) into the probability distribution. These scenarios will be resulted by Monte Carlo simulation as well as the application of qualitative techniques to assess risks and combining their probability of occurrence and impact, and quantitative techniques to numerically analyze the effect of identified risks. Moreover, it gives the decision-maker the ability of avoiding unexpected events through providing a futuristic look of the most project risky activities by implementing risk ranking matrix using heat map. The developed model will go through interrelating three software; Microsoft Project, Microsoft Excel and @Risk from Palisade.

Simulation and Mathematical Representation of N-Octane Aromatization on Ge-Re-Pt/Al2O3, Cs-Pt/ Al2O3,Re-Pt/ Al2O3 Catalysts

Ramzy S. Hamied

Engineering and Technology Journal, 2014, Volume 32, Issue 1, Pages 118-131

In the present study mathematical representation was used to predict the reaction kinetics of the n-octane aromatization which tested with three types of catalysts by adding (Ge, Cs, and Re ) in order to improves the catalytic properties (enhanced the activity) of Pt/Al2O3 catalyst for n-octane aromatization. The aromatization process
carried out in the range of reaction temperature varying from (425 to 500 °C) and weight
hour space velocity varied from (0.6 to 1.2 hr-1) with hydrogen as the carrier gas at
atmospheric pressure.
The results showed that the higher conversion of n-octane aromatization increased
with temperature increasing but at temperature higher than (500 °C) hydrocracking
reaction is promoted. Whereas the effect of weight hourly space velocity has shown
inverse impact on conversion. On the other hand the yield of aromatic increase especially
benzene and toluene which produce as secondary products from the hydrogenolysis of A8
for three types of catalysts using in the process under the same operating condition. The
simulation results of the model based on proposed kinetic model was compared with the
experimental results. The comparison between the predicted and commercially results
shows a good agreement with error% between (6.91 – 17.87).

Simulation and Optimization of Depropanizer Using Hysys Simulation Package

Nidhal M. Abdul Razzak Al-Azzawi

Engineering and Technology Journal, 2013, Volume 31, Issue 18, Pages 100-121

A new depropanizer is designed for the revamped petrochemical complex PC1 in Basrah. Conventional fractionation column is used to match the design of the existing plant. The feed to the new depropanizer is the bottom product of the revamped deethanizer of the ethylene plant. Hysys package (3.2) is used for the short-cut method, rigorous model and tray sizing. Different variables have been studied such as total number of stages, reflux ratio, feed location and feed temperature. The optimum number of stages is found to be (55) stages and the feed location is at tray 25th from top, with feed temperature of 32ºC. The tray layout and sizing is estimated using Hysys, all trays are forced to have the same design so that the column maintains the same diameter throughout its height.

Experimental Study and Simulation of Iraqi Heavy Naphtha Catalytic Reforming Reactions Using Pt-Ir-Sn/AL2O3 and Pt-Ir/AL2O3 Catalysts

Ramzy S. Hamied; Shahrazad R. Raouf; Khalid A. Sukkar

Engineering and Technology Journal, 2013, Volume 31, Issue 18, Pages 14-35

In present study experimental and mathematical model have been carried out to describe the reaction kinetics of catalytic reforming process using Iraqi heavy naphtha as a feedstock for the process. Two types of catalysts were prepared (Pt-Ir-Sn/AL2O3 and Pt-Ir/AL2O3) supported on γ-AL2O3. The main three described reforming reactions were investigated (dehydrogenation, hydrocracking, and dehydrocyclization) to characterize catalysts performance in term of activity and selectivity. The performance of catalysts were investigated under the following operating condition: reaction temperature range of 480-510 ˚C, weight hour space velocity range of 1-2hr-1, pressure at 6 atm, and hydrogen to hydrocarbon ratio of 4:1.
The results show higher conversion of Iraqi heavy naphtha components (i.e., Paraffins and Naphthenes) with higher temperatures whereas; weight hourly space velocity has shown negative impact on conversion (i.e., higher WHSV shows lower conversion). In general, it was noted that the yields of aromatics and light components are increased for both types of catalysts (Pt-Ir-Sn/AL2O3 and Pt-Ir/AL2O3) under the same operating conditions. Results of tri-metal catalyst better than bi-metal catalyst.
A comprehensive mathematical model and simulation was developed in the present work to describe the reaction kinetics of reforming reactions. The model predicts the concentration, conversion, and temperature profile with time and axial direction of the reactor. The comparison between experimental and simulation results of the concentrations of (Paraffin’s, Naphthenes, and Aromatics), and temperature showed a good agreement with a deviation confined 19.50%.

An Investigation of Reliability and Life Time Prediction for Power MOSFET Using Electronically and Statistical Technique

Abdul-hasan Abdallah Kadhim; Munaf Fathi Badr; Abdulkhaliq A.AL-Naqeeb

Engineering and Technology Journal, 2013, Volume 31, Issue 4, Pages 551-558

This work is aimed to estimate the life time of the MOSFET power transistor through an empirical implementation work merged with statistical applications. In the empirical part the MOSFET power transistors are subjected to high frequency(50kHz) via an electronically controlled model using advanced driving circuit (IR2113) that reduce the Miller effect of load side reflected to the transistor gate, so minimum voltage noise , to obtain accurate results. The statistical approach is based on developing simulation technique using Weibull distribution to estimate the life time of MOSFET power transistor. Two methods (maximum likelihood and order regression) were applied for simulated data of the actual performance to provide an accurately prediction of the failure time. The transistor was tested by supply variable voltages from zero to break down voltage and different results are observed. The results show that the first of the suggested method gives a best performance for simulation results compared with the two of the conventional methods.

Modeling and Simulation of Flue Gas Desulfurization Using Slurry of Fine Activated Carbon Particles

Asmaa I. Eliass; Neran K. Ibrahim

Engineering and Technology Journal, 2010, Volume 28, Issue 12, Pages 2294-2307

The main objective of the present work is to investigate the
feasibility of using a slurry of fine activated carbon particles,
dp<1mm, in a fixed bed reactor for the removal of sulfur dioxide
from simulated flue gas (air, SO2) stream. A mathematical model
governing the desulfurization process was proposed. The partial
differential equations which describe the adsorption of SO2 from a
moving gas stream to the sorbent bed were solved using a finite
difference method. The kinetic parameters of the mathematical
model were obtained from a series of experimental desulfurization
runs carried out at isothermal conditions and different operating
conditions; bed temperature (333K-373K), initial SO2 concentration
(500ppm-2000ppm) and static bed height (10cm-24cm). The results
showed that the use of fine activated carbon particles improved the
removal efficiency to about 97%. The verification of the simulation
and experimental results showed that the proposed model gave a
good description of the desulfurization process with 95% confidence

Mixed Alkali Effect on Viscosity of Sodium Potassium Borate Glasses

Saad B. H. Farid

Engineering and Technology Journal, 2008, Volume 26, Issue 3, Pages 387-392

The effect of the alkali oxide content on viscosity has been studied
for sodium-potassium borate glasses. The deviation of viscosity values from
additivity has been modeled to investigate the effect of partial substitution
of one alkali oxide for another. Published data on isokom temperatures and
activation energies for sodium-potassium borate glass compositions has
been utilized along with L2-regression optimization technique for analysis.
It is found that both linear and nonlinear relations determine the
viscosity coefficients associated with chemical components of the glasses
under study. This model allows the calculation of viscosity for a given
temperature and accordingly, the fusion temperature of these glasses.
Furthermore, the established model relations show first and second order
mixed alkali effect on viscosity.