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ARPN Journal of Engineering and
Applied Sciences
July 2019 | Vol. 14 No. 14 |
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Title: |
Effect of heavy fraction on hardness and
morphology of alumunium-marble powder metalurgy composite |
Author (s): |
Faisal Habib, Rudy Soenoko, Sudjito
Soeparman and Yudy Surya Irawan |
Abstract: |
This
research aim is to make material engineering where marble powder is used
to strengthen the alumunium alloy composite material. Alumunium and
marble powders are combined by metallurgy method. The alumunium powder
is product from Merck German with irregular shape and homogeneous
particle size. The marble powder is obtained from marbles stone cutting
waste in Maros regency, South Sulawesi province. Marble powder is mashed
and sieved up to mesh 200. The alumunium powder is mixed with 10%, 15%
and 20% marble powder fraction, and then compacted with a compaction
pressure of 300 MPa using cold isostatic pressing method. The result
shows that the green body is sintered at 650°C and the holding time for
240 minutes. The composition with largest marble weight fraction had the
greatest hardness. |
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Title: |
Processing conditions and their effect on
homogeneity of PPVC structural characteristics |
Author (s): |
Ali I. Al-Mosawi and Kalman Marossy |
Abstract: |
The
processing conditions involved in rolling and extrusion methods and
their effect on the thermal behavior of plasticised PVC (PPVC) were
studied in this article. Limiting oxygen index test (L.O.I) and
differential scanning calorimetry (DSC), fourier transform infrared
spectroscopy (FTIR), and scanning electron microscope (SEM) has been
used to evaluate the structure and properties of extruded and rolled
PPVC. The SEM and FTIR tests proved there was a significant structural
difference found between extruded and rolled PPVC samples, such as the
ratios of the elements carbon, hydrogen, and oxygen were different in
the samples of both methods, which affected by the L.O.I test and
differences in active groups obtained by FTIR analyses. |
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Title: |
Theoretical and experimental study of the
process of wet cleaning of wax raw materials from organic impurities |
Author (s): |
N. V. Byshov, I. A. Uspenskiy, D. E.
Kashirin, D. N. Byshov, V. V. Pavlov, A. V. Protasov, S. S. Morozov, A.
M. Afanasyev, S. N. Gobelev, V. V. Kochenov and A. V. Kupriyanov |
Abstract: |
The
aim of this study is the scientific substantiation of the parameters of
the process of wet cleaning of wax raw materials from impurities, bee
bread, in particular, and the development of a theoretical model of
water dispersion of impurities and verification of the model obtained in
the laboratory experiment. The basis for constructing a mathematical
model is the idea based on the assumption that a boundary layer exists
on the surface of a solid that dissolves in a liquid medium, through
which the transfer of particles of the solid phase into the bulk of a
liquid takes place. In this case, the rate of mass transfer is directly
proportional to the energy expended on the forced mixing of the system
under consideration. The model includes three variables: the intensity
of mixing, the time of the process and the residual concentration at any
time. In the model obtained, the nonlinear effect of the dependence of
the residual concentration on the time and intensity of the dispersion
process is clearly manifested. It is theoretically established that with
an increase in intensity, the time for complete dissolution is
significantly reduced. The article presents the description and results
of a multi-factor experiment that establishes the effect of mixing
intensity, mixing time and particle size distribution of the material
under study on the degree of dispersion in water, which is estimated by
the percentage of undissolved material from the initial mass, calculated
on the dry matter. Comparison of dependences obtained theoretically and
experimentally show sufficient convergence of the results. The results
obtained can serve as a basis for designing specialized means of
mechanization to calculate productivity, energy intensity and other
parameters of the cleaning process. |
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Title: |
Electrochemical synthesis of nickel
hydroxide from nitrate salt in the slit diaphragm electrolyzer for power
sources application |
Author (s): |
Kotok V. A. and Kovalenko V. L. |
Abstract: |
It
was found that synthesis of nickel hydroxide synthesis in slit-diaphragm
electrolyzer from nickel nitrate solution as catholyte is possible. It
was discovered that synthesis only possible at low current densities
(4-6 A/dm2) due to overheating of catholyte. Analysis of synthesized
samples revealed that have low crystallinity layered
(?+ß) Ni(OH)2
structure, with increased content
of ?-Ni(OH)2. A formation of phase that is intermediate between
a-Ni(OH)2 and ß-Ni(OH)2 was discovered. Cyclic voltammetry
studies revealed high electrochemical activity and cyclic stability of
synthesized samples. It was noted, that further studies are needed to
refine the proposed method for industrial applications. |
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Title: |
Simulation and optimization of artificial
neural network based air quality estimator |
Author (s): |
Shirish Pandey, S. Hasan Saeed and
Shailendra Kumar |
Abstract: |
Electronic noses are designed to classify odors. It aims to provide
remote connectivity, data storage and signal processing. In this
research work an AI technique using ANN in use of sensor array grid
system concerning air pollution monitoring of the carbon monoxide (CO)
gas by integration of distributed sensors, data records and configuring
ANN model. The analysis and the characterization acquired by prototype
of multi-sensors electronic nose which have TGS 822, TGS 2442, TGS 813,
TGS 4160, TGS 2600 sensors along with temperature, humidity and wind
speed measurements sensors. Regression and MSE are taken as performance
parameter to find best possible ANN model that can correlate in between
sensor response and CO concentration as pollutants, evaluated by Mat Lab
software and statistical analysis. The influence of data segment length
is taken into account to improve the model. The variation in hidden
layer nodes performed and compared using the variable length data then
the mean square error (mse) is calculated. |
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Title: |
Transient stability improvement based on
moment inertia index using Extreme Learning Machine |
Author (s): |
Indar Chaerah Gunadin, Zaenab Muslimin and
Agus Siswanto |
Abstract: |
Power
system stability have emerged and become problematic issue in recent
years, transient stability still remains a basic and important
consideration in power system operation, security and maintenance
Transient stability assessment become topic of the problems that
continue to attract the attention of researchers in the world. These
early stability problems, often a result of insufficient synchronizing
torque, were the first emergence of transient instability. Moment
inertia and Critical Clearing Time (CCT) are key parameter for Transient
Stability Improvement. In this paper will proposed a new technique for
improvement CCT value using inertia moment index of all generator. By
rescheduling the generation based on the value of the inertia moment,
the critical clearing time (CCT) of the system will be increased. After
the CCT value is obtained based on moment inertia index, then the value
of CCT is learned by Extreme Learning Machine. In this paper, WSCC 9 bus
system will be a test case. The simulation result show that,
rescheduling active power based on moment inertia index can improve CCT
and the Extreme Learning Machine can be a robust method to obtain a CCT
with minimum error. |
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Title: |
Examination of the relevant of the
frequency responses and the performance for the devised piezoelectric
power generator with the stiffness of the vibrating beam |
Author (s): |
N. X. Yan, A. A. Basari, K. S. Leong, N.
A. A. Nawir and S. Hashimoto |
Abstract: |
The
frequency responses and the output efficiency of the piezoelectric disc
by the designed piezoelectric power generator are examined and
vindicated in this paper. The relationship between the stiffness of a
beam with the output efficiency and the frequency responses of the
piezoelectric disc are investigated. As the vibrating beam’s bending
stress is varied, the impact force is affected and changed. Two
variables such as width and thickness of the vibrating beam are
disclosed. The narrower the width of the vibrating beam, the higher the
frequency responses (shifted to right region) of the piezoelectric disc.
Approximately 87% of the output efficiency of the piezoelectric disc is
raised when 1mm of the vibrating beam’s thickness is employed on the
power generator contrast with the 2mm of the vibrating beam’s thickness.
In this paper, the declarations are expounded and evaluated from the
plotted graphs. |
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Title: |
Expanded distance based multi single hop
low energy adaptive clustering hierarchy (EMSLEACH) routing protocol in
wireless sensor network |
Author (s): |
Takhellambam Sonamani Singh and Ajoy Kumar
Khan |
Abstract: |
The
principal targets of the wireless sensor network (WSN) are to enhance
the lifetime of the sensor network and also to use the sensor energy
efficiently. To increase the life time of the network, network routing
protocols is also one of the very important aspects. In this paper,
Expanded Distance based Multi Single Hop Low Energy Adaptive Clustering
Hierarchy (EMSLEACH) for wireless sensor network which is an enhancement
of the Distance based Multi Single HOP Low Energy Adaptive Clustering
Hierarchy (MSLEACH) is being considered and the said protocol is made to
compare with multiple other existing clustering protocols based on
multiple parameters. The paper also takes into consideration of
different data sets for different multiple protocols and compared to
know the reliability of the system. Finally, the simulation result shows
that EMSLEACH outperformed the other multiple existing systems. |
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Title: |
Optimization of power systems through an
artificial bee colony algorithm |
Author (s): |
William Sanchez and Cesar Hernandez |
Abstract: |
The
integration of optimization methods in the different processes involved
in an electric power system in the search for energetic efficiency has
generated satisfying results in the reduction of energy consumption,
technical losses, increasing security and system reliability. The
purpose of this article is to implement the artificial bee colony
optimization algorithm in a 15-node IEEE power system set at 13.2 kV, in
order to find the possible values of the reactive compensation that
optimize the system power flow. In first place, the results of the
voltage profiles of a 15-node IEEE power distribution system are shown
with the Newton Raphson method. Then, said system is optimized using an
adapted version of the artificial bee colony algorithm which was
developed in MATLAB. After the execution of the algorithm, it was
concluded that the nodal voltage values have a significant increase in
all 15 nodes of the system. This translates into a reduction of the
losses in the interconnection lines of the nodes through the
optimization of the power system. The application of the artificial bee
colony algorithm offers an optimization alternative driven to reduce the
energy losses in the power system. |
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Title: |
Reconfiguration of a radial distribution
network through Whale Optimization Algorithm |
Author (s): |
P. Ravi Babu and Rohit Kumar Tiwari |
Abstract: |
In this
work, an innovative algorithm is addressed for the reconfiguration of an
electrical radial distribution network such that it can lower the active
power loss and enhance the voltage profile while satisfying the
operating constraints. A nature-based motivated metaheuristic
optimization algorithm that is Whale Optimization Algorithm (WOA) has
been proposed. This novel algorithm is motivated by a special foraging
strategy of the humpback whales. The proposed algorithm (WOA) is
successfully simulated on IEEE standard 33 bus and 69 bus system. To
validate the effectiveness of WOA, a benchmark comparison has been done
with the previously existing algorithm. |
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Title: |
Identification of rain cloud amount, rain
intensity and possible chance of flooding using image processing and
fuzzy logic |
Author (s): |
Miguel Joseph L. Jacoba and Edwin R.
Arboleda |
Abstract: |
Tropical cyclones are the most powerful storm of all. These storms bring
strong winds and large amount of rain which cause devastation in its
affected areas. The rainfall amount of these weather disturbances can
cause flooding, landslides, overflowing of rivers and dams and mudslide.
Forecasting these weather disturbances is an important tool to save
lives and properties in affected areas. To completely analyze the
storm’s rainfall amount and intensity, an image processing technique is
usually used by most meteorologists. The image processing technique can
identify the intensity, size, and rainfall amount of the storm. The
fuzzy logic on the other hand gives result based on rules made by the
user. The fuzzy logic is also an important tool in identifying the
chance of flooding in a specific area. In this paper the image
processing and fuzzy logic are demonstrated in the software named MATLAB.
In image processing, the amount of white colors which identifies the
amount of rain clouds is counted using white color detection technique
and the intensity of rain is counted using complemented gray scale in
MATLAB. The results are then plugged into the fuzzy logic which outputs
the possible chance of flooding. |
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Title: |
A Rough Set-Based Model for analyzing
arrhythmia type diseases using the UCI database |
Author (s): |
Aaron Don M. Africa |
Abstract: |
Arrhythmia is a disease that affects many people. This disease is when
the heart has an irregular heartbeat. This disease may cause premature
or extra heartbeats and the person who has it may feel that his/her
heart is beating slowly. This disease is life threatening especially
when not diagnosed as the heart cannot pump blood, so death can occur
within minutes. Knowing if you have this disease early on is very
advantageous as it may save a person’s life. The main problem is this
disease is very hard to diagnose as it is misunderstood as other
diseases. Also when diagnosing arrhythmia not all information is
available. There are many reasons why they are not available like
testing that parameter is hard to test. This research will develop a
Rough Set-Based Model for analyzing arrhythmia type diseases using the
UCI database. The model that will be developed will guide the person
diagnosing the disease to give the proper recommendation. The Rough Set
Theory will be used to reduce the rules for easy diagnosis. The database
that will be used is the UCI arrhythmia database. |
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Title: |
Empirical study on stress distribution
zone during machining of DRACs using finite element analysis, Taguchi’s
design of experiments and Response Surface Methodology |
Author (s): |
Raviraj Shetty, Augustine B. V. Barboza
and Laxmikanth G. Keni |
Abstract: |
Today’s World manufacturing industries is widely focusing on numerical,
statistical and analytical methods. In this paper, three of those
methods have been employed namely finite element analysis, Taguchi’s
design of experiments and response surface methodology. Initially stress
distribution in primary and secondary deformation zone in machining of
DRACs was conducted using finite element analysis based on Taguchi’s
design of experiments. The experimental results were then correlated
using Taguchi method, for identification of optimum cutting parameters
followed by mathematical model using Response Surface Methodology (RSM). |
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Title: |
Ferry user model opportunity in the
archipelagic region |
Author (s): |
Andi Kumalawati, Harnen Sulistio, Ludfi
Djakfar and Achmad Wicaksono |
Abstract: |
As an
archipelagic region, ferry transportation is needed to connecting small
and large islands, by means of ferry transportation the form of a
roll-on roll-off vessel, better known as Ro-Ro vessel. The immediate
impact felt by the public on ferry transportation is widening of its
service network to remote islands, increasing economic growth and
people's quality of life, increasing business opportunities,
opportunities for education and so on. The purpose of this research is
to know the model of ferry user opportunity in archipelagic region. The
location of research is East Nusa Tenggara Province. The survey was
conducted by distributing questionnaires to passengers at random. The
total sample is 2,686 respondents (passengers). By using Multinomial
Logistic Regression (MLR) Method, analysis result shows that: Ferry user
opportunity every week equal to 0, 02%, every month 45, 71%, every year
54, 27%. There were 79, 86% of respondents said that ferry
transportation is cheaper and affordable, 16, 68% choose because of high
speed and safety, and the remaining 3, 46% stated no other option (by
forced). |
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Title: |
A study on calculation of optimum gear
ratios for three stage bevel helical gearboxes |
Author (s): |
Tran Thi Hong, Tran Thi Phuong Thao, Vu
Ngoc Pi, Le Hong Ky, Nguyen Thi Hong Cam, Luu Anh Tung and Le Xuan Hung |
Abstract: |
This
paper introduces a study on the calculation of optimum gear ratios of a
three stage bevel helical gearbox. In this study, to find the optimum
gear ratios, an optimization problem was performed. In the optimization
problem, the gearbox length was chosen as the objective function. In
addition, the effects of input parameters including the total gearbox
ratio, the the face width coefficients of the bevel and the helical gear
sets, the allowable contact stress and the output torque were
investigated. To evaluate the influence of these factors on the optimum
gear ratios, a simulation experiment was designed and conducted by a
computer program. Based on the results of the study, the influences of
the input parameters on the optimum gear ratios were evaluated and
models for calculation of the optimum gear ratios were found. |
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Title: |
Influence of Ceramic Sludge Waste as
partial replacement of cement on strength and durability properties of
concrete |
Author (s): |
Ankit J. Patel and V. M. Patel |
Abstract: |
Concrete is very commonly used construction material. It is second
largest material after water that is consumed on the planet. This
popularity is due to the fact that it can be made by common materials
and that are easily available. As consumption of concrete is very high,
consumption of cement is also very high. Production of cement produces
high amount of CO2. To save environment we have to find alternate
solution for making concrete and partial replacement is one of the
solution to reduce production of CO2.In this study, effects of waste
material as partial replacement of cement on the Chloride permeability
and compressive strength of concretes were experimentally investigated.
The main parameter investigated in this study was M20 grade concrete
with partial replacement of cement by waste material (CSW-Ceramic Sludge
Waste). The percentage of replacement at the levels of 0%, 10%, 20%, 30%
and 40% was examined. In this research a detailed experimental study on
compressive strength and chloride permeability were carried out at an
age of 7, 14 and 28 days. This investigation shows that ceramic sludge
waste can be utilized as partial replacement of cement up to 20% without
any loss of strength and durability of concrete. |
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Title: |
Synthesis and properties of aluminates
clinker of complex composition |
Author (s): |
Miryuk O. A. |
Abstract: |
The
article presents the results of studies on synthesis and hydration of
aluminate clinkers and cements containing C6A4MS
phase. Influence of calcium sulfate and iron oxide additives on
thermal transformations during C6A4MS synthesis
was determined. A method for calculating composition of three-component
mixture for, which takes into account MgO and SiO2 presence in raw
materials is proposed. The calculation method makes it possible to
optimize phase composition of clinker due to directional choice of the
modulus of basicity, silica and magnesia modules. Aluminate clinker was
synthesized from raw mixes with different modules values. Dependence of
properties of aluminate cements on values of the modules and content of
clinker’s phases was revealed. Composition of hydrated aluminate cement with the content of
C6A4MS phase is
presented. There was marked strength stability of cement stone of
long-lasting hardening. |
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Title: |
Inbuilt weighing mechanism with overload
safety control for trucks using IOT |
Author (s): |
K. Srinivasan, S. Jeevanantham, R. Subash,
S. Sudeep Raja and S. Thirukumaran. |
Abstract: |
The
transportation is a vital part of a society for a secured transportation
system. Even though there are many factors which causes accidents but a
majority of them are caused because of overloading. First of all, the
maximum weight that a truck can carry are defined by the manufactures at
the time of production unfortunately the drivers overload the vehicle
for their convenience. Due to overloading the performance of the vehicle
is greatly affected. The fuel efficiency and the overall life span of
the vehicle will be reduced when it is overloaded. By using this method,
the load carried by the vehicle is measured by using inbuilt weighing
mechanism and it is continuously monitored from remote location. The
load cell is used to measure the load carried by the truck. Arduino is
used as data acquisition where GPS module is responsible for location
and Wi-Fi module is used to send the load and location of vehicle to
internet server (or) web server. The web server has the complete history
of the truck and control unit is protect the truck from overload. The
objective is to reduce the accidents caused by overloading of trucks and
to find out the loss of goods during transportation. Wireless monitoring
of truck location and load status from an unknown location is possible
by using this method. It will reduce the pollution caused by the
overloading of truck during transportation. |
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Title: |
Measurement of instantaneous and average
values of phase angle using precision voltmeter |
Author (s): |
Oleh Velychko and Valentyn Isaiev |
Abstract: |
The
influence of the main factors of distortion of the measurement results
of the shift angle between two phase voltages reproduced by a
three-phase AC calibrator is analyzed in the work. For the developed
measurement procedure of the phase angle using the precision voltmeter
method, the sequence of operations is considered depending on the
instantaneous or average values of the measurand. Since the distribution
of observation results was defined as symmetric and bimodal, the value
of the measurand should be the mean within the interval of the
variation. The Monte Carlo simulation gave results that, with small
scattering, coincide with the measured value. The introduction of the
correction for the instantaneous measurement did not significantly
change the result because of the scattering during the whole oscillation
period. |
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Title: |
A relational hypothesis analysis for cell
death mechanism |
Author (s): |
Kumud Tiwari, Sachin Kumar and R. K.
Tiwari |
Abstract: |
Cell
death in the cell development cycle, forms one of the most potential
areas for experimental as well as theoretical research and an exciting
question as well. Regardless of the importance of the cell death
process, its mechanisms are not understood and are still being studied.
According to the studies, the cell death takes place through two
processes: (i) Apoptosis is a form of cell death which is programmed or
controlled, (ii) Necrosis is a type of cell death that is accidental or
un-programmed [1]. Apoptosis which is a significant part of the
molecular mechanism, it has attracted a considerable amount of attention
over the last two decades. Apoptosis is characterized by distinct
biochemical mechanism and morphological characteristics, it plays a
major role in diversified processes including natural cell development,
proper functioning of a cell, a cell dies due to chemicals and
development of the immune system. The cell death signalling pathway
responds to both normal and pathologic stimuli and human diseases like
neurodegenerative disorders, ischemic damage, immune deficiency, cancer
and autoimmune disorders are caused by unseemly apoptosis. This paper
presents a theoretical investigation on the cell death process, its role
in cell development, its different forms and its mechanism signalling
pathways, a summarized comparison of Apoptosis and Necrosis. Further, a
relational hypothesis analysis for cell death mechanism has been
conducted. Our results give valuable insights into the factors that are
influencing the sample dataset to be malignant. The result shows that
p-value had a clear dependency on the percentage of malignant cases in a
sample and hence population, as the value increased the percentage share
of malignant cases increased. |
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