|
ARPN Journal of Engineering and
Applied Sciences December 2021 | Vol. 16 No. 23 |
|
|
Title: |
Effect of hot press temperature on
physical and mechanical properties of composites of polyester resin
files with chicken EGG (Gallus Gallus Domesticus) shell powder |
Author (s): |
Alvin, Vanessa, M. H. S. Ginting, R.
Hasibuan, M. Lubis and G. E. Ayu |
Abstract: |
This
study was conducted to study the effect of temperature hot press
variation of mechanical chicken egg polyester chicken egg powder (Gallus
Gallus Domesticus). This research was conducted in several places,
namely the preparation of eggshells as fillers, composite making, and
examiners. The eggshell is mashed and sifted, then the chicken eggshell
powder is mixed with polyester using 80/20 and the mekpo catalyst is 1%
of the mass of the matrix. After that, it is printed using compression
mold with variations in temperature of 30 °C, 45 °C, 60 °C, 75 °C, 90
°C, and 105 °C. The composites formed were then analyzed for their
mechanical properties and the results of the tensile strength and
composite impact required for variations in temperature of the hot press
60 °C were 35.78 MPa and 8.99 J/m2 were achieved. |
|
|
Full Text |
|
|
Title: |
Point to point positioning control
of rotary system with NCTF controller and PID controller |
Author (s): |
Rozilawati Mohd. Nor and Sahazati Md.
Rozali |
Abstract: |
A
practical control scheme is proposed for a one mass rotary system. It
was written to demonstrate the controller performance towards
positioning and tracking control. For this system, the Nominal
Characteristic Trajectory Following (NCTF) controller is proposed and
improved. The objective of NCTF controller is to make the object motion
to follow the NCT and ends at it origin. Generally, the NCTF controller
consists of a Nominal Characteristic Trajectory (NCT) obtained from open
loop response and Proportional Integral (PI) compensator. The CM-NCTF
controller is proposed for evaluating the motion performance and compare
with the conventional NCTF controller and PID controller. For
positioning control, both NCTF controllers demonstrate almost identical
positioning performance. However, for tracking control, CM-NCTF
controller demonstrates better tracking performance than the
conventional NCTF controller with the smallest motion error presented.
Besides, the robustness of the CM-NCTF controller to the variation load
is also examined. |
|
|
Full Text |
|
|
Title: |
Experimental investigation on mechanical
properties of AA7050/B4C composites |
Author (s): |
J. Chandrasheker and N. V. S. Raju |
Abstract: |
This
paper presents the preparation and examination of the mechanical
characteristics of AA7050/B4C MMC’s. Boron carbide particles (B4C) were
used to strengthen the aluminum (AA7050) alloy. Stir casting was used to
develop the AA7050/B4C MMC’s. AA7050/B4C MMC samples with various B4C
weight fractions were produced (0, 3, 6, 9, and 12wt. percent). In this
research, mechanical properties such as tensile strength, hardness were
investigated. The inclusion of 9wt. % boron carbide in aluminum matrix
enhanced the tensile strength of the composites by 30.3%. The composites
tensile strength improves significantly up to 9wt. % B4C, after which
the rise in tensile strength is decreased mainly because of the cluster
formation of the reinforcements. Elongation of the MMC’s decreased as
the proportion of boron carbide (B4C) particles in the aluminum alloy
increased. Scanning electron micrographs (SEM) revealed that the
homogenous dispersal of B4C reinforcing particles in the AA7050 alloy.
The distribution of reinforcement particles in the aluminum alloy
increased the composites hardness and tensile strength. |
|
|
Full Text |
|
|
Title: |
Multiclass motor imagery data
classification using deep learning method for BCI application |
Author (s): |
D. Hari Krishna, Jigar Patel, M. C.
Chinnaaiah, I. A. Pasha and T. Satya Savithri |
Abstract: |
The
Brain Computer Interface (BCI) systems have incredible applications both
in clinical and non-clinical areas. Electroencephalography (EEG) is one
of the most used neuroimaging techniques to acquire brain activity in
BCI Systems. However, EEG signals are usually very complex and requires
extensive processing to analyze them. This paper explores the
implementation of motor imagery (MI) paradigm based BCI system based on
the on deep learning. A typical deep learning model includes the stages
of pre-processing, feature extraction and classification in single
model. However, such model requires lot of data for training purpose. In
order to compensate this data requirement, this paper implements a deep
learning model based on CNN with extracted features as an input. The
implemented model consists of three CNN layers followed by fully
connected layers. The model performed with 80% of classification
accuracy on average in offline analysis. In real-time analysis, the
approximate accuracy was 66.9 % across the subjects. |
|
|
Full Text |
|
|
Title: |
Healthcare system using a medical service
robot based on Internet of Things |
Author (s): |
Abdelhaleem Hussein, Mohamed Ghazi, Manal
Ali, Mahmoud Y. Shams and Tamer Medhat |
Abstract: |
The
corona virus (COVID-19) epidemic in Egypt exposed the medical community
to a high risk of death. Because cases erupted later in Egypt than in
many other countries, the Egyptian medical community was warned of the
injuries caused by contact between medical staff and infected patients,
which led to the breakdowns of health systems. To protect against these
injuries, this study proposes a medical service robot (MSR1) that fights
the spread of COVID-19 by sterilizing its paths. Moreover, the robot
provides health and medical services to patients in their rooms,
avoiding direct contact between patients and medical staff. The MSR1
robot was designed and realized using electronic device components and
sensors. Its video frontal camera is installed with a chat application
that allows easy communication with patients. The proposed MSR1
architecture was examined remotely by our colleague patients using
Internet-of-Things (IoT) technologies. The evaluation confirmed the
reliability of MSR1 and its fast response to issued commands. |
|
|
Full Text |
|
|
Title: |
IoT applications to fight against
pandemics: 3D printing aiding in sustainable technology |
Author (s): |
Hanaa Salem and M. S. M. Elksasy |
Abstract: |
Internet of Things (IoT) refers to those machines over which your
company has entire authority. The data received is owned by the company;
activities can be stimulated by data-driven decisions to command IoT
systems to perform specific steps. The Internet of Every Things (IoE) is
an extension of the IoT. It would include all machines that are not
under the control of an organisation but are either trying to present
valuable information to the business or are virtually impossible to
prevent from sending information across the company's network. IoE and
3D printing are two significant emerging innovations that are
increasingly impacting many sectors and our daily lives. 3D printing is
used in many different fields, and it can be used in the front lines
facing emergencies, for example, the last and most urgent one is the
spread of the outbreak virus. With the spread of Corona virus, the world
has been divided using quarantine in several countries, meaning that
health services have been unable to provide emergency treatment. 3D
printers or Additive Manufacturing (AM) suffer from a high error rate,
small product sizes, difficulty tracking, process enforcement, and
abrupt current cut-off failing print; the loss of time, 3D printers are
still costly, effort and content. Industry 4.0 is transforming the
supply chain more and more, thus improving technology's sustainable
growth. This paper addresses these problems by using certain features
such as Uninterruptible power supply (UPS) to avoid the printing process
failure, larger frame size helps to provide maximum remote control and
monitoring for the printer while printing larger items, websites, and
smart phones. The methods and algorithms of connecting a 3D printer with
an IoE application are recorded, and the configuration and workflow for
the IoE application will be provided in the results section.
Incorporating more features such as a camera for the monitoring printing
process, mobile application, UPS circuit, full remote control, and
website monitoring, low cost, we expect to take the 3D printers to the
next generation. It became evident that this technology would
significantly contribute to fighting against this epidemic and has
benefited society and health and related field specialists. |
|
|
Full Text |
|
|
Title: |
Fiber-Reinforced polymer composite for use
of a blade runner’s artificial leg of lower-limb amputees |
Author (s): |
Athanasius P. Bayuseno, Arijuna Pratama,
Rifky Ismail and J. Jamari |
Abstract: |
Carbon fiber sports prostheses have been commonly implemented for
lower-limb amputees to participate in competitive sports in which a
blade runner’s artificial legs are embedded into the structural design
of artificial limbs. In the present study, the blade runner’s artificial
legs of the fiber-reinforced polymer composite with the good impact of
spring load resistance were fabricated. The composite was prepared using
the prepreg carbon fiber and made through the curing method out of
autoclave with the manufacturer's recommended cure cycle (MRCC) profile.
The fabricated composites with a variation of the number of layers were
then subjected to mechanical property and density in addition to voids
evaluation. Results showed that the artificial leg composites with
layers of from 25 to 40 could endure under compressive loading in the
range of 1442 N-2266 N for each step. Therefore the composite can be
implemented for the lower-limb prostheses with the user's body weight
less than 70 kg. The outcome of the study may also add knowledge for
fabricating the blade runner’s artificial legs at a low cost. |
|
|
Full Text |
|
|
Title: |
Development of a computational tool for
kinematic analysis of planar mechanisms with one degree of freedom by
means of numerical methods |
Author (s): |
Cristian A. Pedraza-Yepes, Osneider E.
Pertuz-Legro and Abraham J. Tanus-Camargo |
Abstract: |
This
technological development consists of the implementation of numerical
methods, vectors, two-dimensional matrices and programming language,
whose purpose is to analyze and calculate kinematic variables of
position, velocity and acceleration of flat mechanisms with a predefined
degree of freedom. For the development of this desktop application, the
advances that have been made in this area were reviewed and, based on
this; didactic software was proposed that meets the necessary
requirements for the kinematic analysis of flat mechanisms with a degree
of freedom. An algorithm was developed, and then the instructions coded
in a high-level programming language, which allows the processing of
user-supplied input parameters through graphical interfaces and dialog
boxes. The processed data are dimensional and geometrical properties,
location and relative joints of the physical elements belonging to a
configuration type of flat mechanisms. This computational tool, which
consumes few computer resources, provides kinematic resolution of flat
mechanisms with a degree of freedom in processing times of the order of
milliseconds, on the other hand, it avoids using geometric and
analytical methods, which are tedious and extensive in written
equations, therefore, it reduces the risk of misusing a variable or a
mathematical sign. The functionality of this application is tested by
solving exercises proposed and existing in the literature on the theory
of machines and mechanisms. |
|
|
Full Text |
|
|
Title: |
Machine learning for African air freight |
Author (s): |
Boutaina Hajjar and Omar Drissi Kaitouni |
Abstract: |
Air
freight transportation plays a pivotal role in stimulating economic
development and enabling supply chains growth. Air cargo drives global
trade by carrying more than 6.7 $ trillion of goods’ value. Amid COVID
Crisis, airfreight traffic remains essential in carrying nearly 1.5
million metric tons of medical equipment. Compared to normal demand
pattern of 2019, air cargo volumes reached the levels of pre-pandemic
period. In a dismal world air cargo market, African countries have
continued to lead the international growth and reached by 2021 the
highest pace of progress with 22.4% of growth. To sustain a positive
pattern of development in Africa, it is relevant to develop a
forecasting model using machine learning applications. Forecasting
future market performance is essential for empowering planning
processes. Nevertheless, only few researches have been developed for
African countries. The main objective of this paper is to examine the
driving factors of air cargo volume in Africa. For this purpose, we have
applied machine learning algorithm to enhance the accuracy of data input
and develop a reliable forecasting model. Findings and results emphasize
that 28265774701 TY market of air cargo volume in Africa will contribute
to GDP expansion by 13% over the next 20 years. This performance will
help key stakeholders to improve African market and develop further
prospects leading its potential growth. |
|
|
Full Text |
|
|
Title: |
The use of solar radiation as alternative
sources of energy in SMEs in Jordan |
Author (s): |
Rami Saleem Razouq |
Abstract: |
This
paper study the extent using of solar radiation as an alternative energy
source in Small and Medium-sized Enterprises (SMEs) in Jordan. A
questionnaire was distributed randomly to selected sample of SMEs from
Amman province to collect the needed data and it is divided into three
sections. The first section focused on the demographic and economic
characteristics of entrepreneurs. The second section study the
limitations that affects on using of solar radiation as an alternative
energy source in SMEs. The last section focused on future expectations
of this source and the facility mechanisms in the economic conditions of
SMEs in Jordan. The results showed that SME economic conditions are
below moderate levels, and the major obstacles of using the solar
radiation as a source of energy are the wide roof space required for the
solar cells. This study recommends the government to adopt plans for the
solar unit's construction in industrial and service zones. |
|
|
Full Text |
|
|
Title: |
Brain tumor detection in MRI images using
optimization techniques |
Author (s): |
S. Valarmathy and R. Ramani |
Abstract: |
Imaging
is one of the techniques used to visualize the internal structure of MRI
Images, which is used to detect tumors. Classifying Tumor in MRI image
data is challenging task. Features are extracted from MRI images by
using wavelet decomposition method and feature reductions are obtained
based on Singular Value Decomposition (SVD) techniques. For analytical
data mining Boosting algorithm is used to produce a sequence of
classifiers. The hybrid-learning techniques are used to boost the
classification accuracy. The optimized Genetic Algorithm (GA) -
Artificial Bee Colony (ABC) algorithm are proposed to increase the
classification accuracy of tumor detection in MRI Images. |
|
|
Full Text |
|
|
Title: |
Comparison between grey models,
exponential smoothing model and holt-winter model in predicting the
number of people infected with the COVID 19 pandemic in Iraq |
Author (s): |
Asmaa Shaker Ashoor |
Abstract: |
The
methods of time series analysis are one of the most important
statistical methods used in this field, as the study of a phenomenon
over a period of time and identification of its pattern and behavior
alongside with the factors affecting, predicting it as well, the future
values of the phenomenon under study and contributing to the formulation
of future policies and the development of plans could build a service
system that addresses the negative aspects of the studied case and raise
the level of services provided by the state. The study aims to determine
the best model for predicting the levels of infection with the COVID 19
pandemic and the preferred model, among those models was the Grey
Verhulst model according to the predictive measures MAPE and RMSE, where
the lowest values of these measures were for the GVM(1,1) model which
indicates a high predictive efficiency and the possibility of adopting
its predictions to determine the future levels of the numbers of people
infected with the COVID 19 pandemic. The study also indicated that the
rest of the models were statistically acceptable, but they were not of
high predictive efficiency compared to the GVM model (1,1). |
|
|
Full Text |
|
|
Title: |
Modeling and Finite Element Analysis of
water fetching aid |
Author (s): |
Sonali P. Patil and Keshav K. Sangle |
Abstract: |
Water
fetching aid a device is important for fetching water in rural area. It
is designed to with stand stresses from the fetching 50liters water at
onetime. The purpose of a water fetching aid is to reduce the burden of
rural women while fetching the water. The most effective feature of a
water fetching aid is that it should be easy for handling and lighter in
weight. The main purpose of this paper is to analyse the stresses
developed in water fetching aid under static loading conditions with
different angle of inclination. And then look forward for weight
reduction of water fetching along with material optimization. The model
of the water fetching aid is developed using CATIAV5 and ANSYS is used
for stresses analysis by simulation (this method is also known as Finite
Element Analysis by simulation). This is the cost and time effective
method of analysis. Mild steel are is a material considered as the
optimizing material. |
|
|
Full Text |
|
|
Title: |
Milkfish size classification method using
Image Processing |
Author (s): |
Frederick Von A. Ibasco |
Abstract: |
This
paper proposes a realistic method for measuring the size of fish that is
efficient and simple. Since the fish that are measured have different in
size, the key technical challenge when we calculate the fish size is to
measure accurately based on standard. Photographs and measurements of
the length and width of 150 fish were taken at the same time. A set of
100 images had background-labeled pixels. This classified dataset was
then used to automatically segment images into certain pixel groups for
the training of Deep Learning Networks. So I present the classification
and sorting scheme of fish size without any interaction with them. The
portable device consists of an adjustable height camera mounted on a rod
and the camera will be connected to a computer for capturing images,
four adjustable intensity lights to be used for illumination, and an
image processing program in which we have built to calibrate and measure
the length and width of the fish. Lastly, the actual data on length and
width will be registered. This paper provides tests and analysis that
will check the system's practicality and effectiveness. |
|
|
Full Text |
|
|
Title: |
Wind power plant automatic control system
with air sail quality |
Author (s): |
S. A. Orynbayev, A. B. Kabanbayev, L. N.
Esmahanova and G. U. Kuttybayev |
Abstract: |
Renewable energy sources are promising from an environmental point of
view energy carriers, which in the future, along with other sources of
electric energy, should come to replace traditional sources based on
hydrocarbon materials. Turbine wind power stations are most widely used
in renewable energy. However, in view of a number of disadvantages
inherent in these wind power stations, at present, sailing wind power
stations with swinging one or more sails, which do not contain rotary
turbines, have been proposed. The article discusses issues aimed at
creating an automatic control system for a sailing wind power station,
which is designed to increase the productivity, ease of operation and
reliability of the wind power station as a whole. |
|
|
Full Text |
|
|
Title: |
Assessment and modeling of electric force
in a Jig device |
Author (s): |
M. A. Ospina-Alarcón, L. M. Úsuga-Manco,
G. E. Chanchí-Golondrino and S. Gómez-Arango |
Abstract: |
This
paper presents a study of particle motion in a water oscillating flow on
a Jig device, which is a high yield and high recovery gravimetric
concentrator device widely used in minerals processing. The phenomenon
of the particle trajectory changes when the electric field force exists.
A mathematical Eulerian-Lagrangian model is used where fluid motion is
calculated by solving the Navier-Stokes and continuity equations by a
SIMPLE algorithm. The motion of individual particle is obtained from
Newton’s second law of motion through the action of forces imposed by
the water, gravity, and electric field. The calculation and comparison
of hydrodynamics forces with other forces acting on particle
trajectories in water oscillating flows were carried out under turbulent
regimen flow. Through the graphic observation in the simulation, it is
found that the study found that electric field force has a significant
effect on the particle’s trajectories, affecting their subsequent
stratification. |
|
|
Full Text |
|
|
Title: |
Implementation of mechanical elements and
materials for knee joint prostheses |
Author (s): |
Arnoldo Emilio Delgado, Gonzalo G. Moreno
Contreras and William Javier Mora Espinosa |
Abstract: |
This
article aims to highlight the importance of the materials used in the
manufacture of prostheses, through the knowledge of their
characteristics and mechanical properties in order to use them on the
manufacture of links and sockets. The most commonly used materials in
the prosthetics industry are: titanium, polymers, synthetic polymers,
among others, which provide adequate pressure distribution, and a high
shocks absorption capacity and elasticity, this facilitates their
relationship of the human body. |
|
|
Full Text |
|
|
Title: |
Design and assembly of a topological
network diagram that provides security, confidentiality, integrity and
availability in the data network of the company Controles Empresariales
SAS Neiva |
Author (s): |
Jesús D. Quintero-Polanco, Jesús D. Joven-Vega
and Martin D. Bravo-Obando |
Abstract: |
The
perimeter security system is a possible method of defense of a network,
based on the establishment of security resources in the external
perimeter of the network at different levels. This study established a
perimeter security system for the company Controles Empresariales SAS -
Regional Neiva taking into account the basic pillars of cyber security,
Haredization manuals and ISO 27001 standard. Through the identification
of different types and brands of Firewall devices, we selected the
option that best suited the needs of the Company. The necessary
guidelines were established for the design of the topological network
diagram, the Firewall was installed, configured and parameterized, the
configuration of the interfaces in Software Switch mode in order to be
able to differentiate the traffic in the different VLANs. Finally, the
network access users were created and the security profiles, the SSL
VPNs were established and the equipment of the Company's collaborators
were configured, carrying out bandwidth consumption tests, vulnerability
analysis and security audit at the system. |
|
|
Full Text |
|
|
Title: |
Estimation the influence of internal
residual gases on peak firing temperature and NOx emission of a V-Twin
engine |
Author (s): |
Nguyen Tien Han and Nguyen Xuan Khoa |
Abstract: |
The
exhaust residual gases and effective release energy are known as
essential factors, which influence engine performance and emission
characteristics. Herewith we estimated the effect of residual gas on
peak pressure rise, effective release energy, and engine emissions. It
is complicated to determine the residual gas ratio, the effective
release energy under the various testing conditions from the
experiments. Through combined experimental and simulation methods we
eliminated certain above drawbacks. From results of the research, we
thoroughly investigated the effects of engine speed, air-fuel ratio,
valve overlap, combustion duration, intake port diameter-bore ratio, and
bore-stroke ratio on the internal exhaust residual gases recirculation.
We also found that the increase in the exhaust residual gas ratio from
1% to 5% was due to the peak firing temperature decrease from 2900 K to
1250 K, the peak pressure rise decrease from 8 to 5.5 bar/deg, the
effective release energy decrease from 0.85 to 0.53 kJ, the NOx emission
reduction from 11.3 to 2.12 g/kwh and the engine brake torque decrease
from 20.3 to 9 Nm. |
|
|
Full Text |
|
|
Title: |
Study of possibilities of unification of
semi-trailer modules for trucks |
Author (s): |
Dmitriy Mikhailovich Vokhmin |
Abstract: |
The
possibility of using a unified approach when creating modular frames and
the use of unified modular elements are discussed in the paper. The aim
of the work is to simplify production and, as a result, improve the
quality, increaser liability and speed of production of frames for
various types of trailers and semi-trailers. Depending on the required
carrying capacity of the vehicle, the number of unified modules is
changed with the help of universal fastening elements, which make it
possible to assemble cargo platforms for various purposes from a small
set of parts. The use of such unified modules makes it possible to
assemble the frame for trailers or semi-trailers of various lengths and
carrying capacities. |
|
|
Full Text |
|
|
Title: |
A comparison of vehicle ride comfort
performance of hydraulic engine mount system with rubber engine mount
system |
Author (s): |
Ta Tuan Hung, Le Van Quynh, Dang Viet Ha,
Canh Chi Huan, Bui Van Cuong and Hoang Anh Tan |
Abstract: |
In
order to assess the vehicle ride comfort performance between the
hydraulic engine mount system (HEMs) and rubber engine mount system (REMs),
both dynamic models of the hydraulic engine mount (HEM) with inertia
track and decoupler and the rubber engine mount (REM) are established to
determine the vertical forces. And then the vertical forces of engine
mounts are linked with a full-vehicle dynamic model under the
combination of two excitation sources such as internal combustion engine
and road surface excitations. The time domain root mean square (r.m.s)
and power spectral density (PSD) acceleration responses of the vertical
motion, pitch and roll angles of vehicle body are chosen as objective
functions to compare the vehicle ride comfort performance of the two
engine mounts. The study results show that the values of the root mean
square (r.m.s) acceleration responses with HEMs are respectively reduced
in comparison with REMs and the peak values of PSD acceleration
responses are respectively reduced when compared with REMs in low
frequency region from 0.5Hz to 10Hz when both the vehicle and engine
operate under the different operating conditions. Vehicle ride comfort
is significantly improved with HEMs in low frequency region. |
|
|
Full Text |
|
|
Title: |
Classical and predictive control applied
to a DC/DC bridge converter |
Author (s): |
Santiago Quintana-Bravo, Andres F.
Hinestroza-Garcia and Diego F. Sendoya-Losada |
Abstract: |
In this
paper, two controllers, a Proportional Integral (PI) and a Model-based
Predictive Controller (MPC), have been designed to regulate a DC/DC
Bridge converter. First, the modeling and linearization of the system
was performed using a frequency response estimation method. Then the PI
controller was designed around a certain setpoint. Next, an algorithm
was designed according to the Extended Prediction Self-Adaptive Control
(EPSAC). Finally, the performance of the controllers was evaluated for
setpoint tracking and disturbance rejection. |
|
|
Full Text |
|
|
|
|
|