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ARPN Journal of Engineering and
Applied Sciences October 2021 | Vol. 16 No. 19 |
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Title: |
Assessment of viscous models on the
simulation of low cut-off wind turbine blade |
Author (s): |
Zahir U. Ahmed, Mohammad Mashud and
Shabnoor M. Joty |
Abstract: |
Renewable energy has received large attention in both developed and
developing countries in the world as an alternative to the fossil fuel
based energy. Wind energy is becoming one of the popular means to
harness energy from renewable sources. Although abundant research had
previously been undertaken for high Reynolds number, research on
different viscous models at low Reynolds number is limited in the world.
As such, in this paper a numerical study is performed for low speed wind
turbine blades where five viscous models such as laminar, RNG k-e model,
SST k-?, Transitional SST, and Transitional k-kl-?, and four airfoils,
namely NACA-4412, NACA-4421, NACA-4418 and NACA-2412 are chosen for
comparative study. Numerical simulation was done via finite volume based
software. The result shows that laminar, RNG k-e and SST k-? models are
able to predict general behavior of both profiles, whereby laminar and
SST k-? models are able to capture stall angle. Whilst all the viscous
models predicts well the pressure coefficient on lower surface of the
airfoil, but only laminar and RNG k-e models perform better in the upper
surface of airfoil. The drag is found to be higher with the increase of
angle of attack (AOA). The lift to drag ratio increases with increase of
AOA but decrease after a certain point. |
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Title: |
Effect of operating temperature on
biodiesel production from Palm Fatty Acid Distillate by using the
Amberlyst catalyst |
Author (s): |
Rondang Tambun, Anggara Dwita Burmana and
Vikram Alexander |
Abstract: |
The
purpose of this study is to determine the effect of operating
temperatures on biodiesel production from Palm Fatty Acid Distillate (PFAD)
by using Amberlyst DPT 2 UPS catalyst. Amberlyst DPT 2 UPS catalyst is a
heterogeneous catalyst whose performance is strongly influenced by
operating temperature. In this study, Amberlyst DPT 2 UPS catalyzes the
reaction between PFAD and methanol. The molar ratio of PFAD to methanol
is 1: 5, and the reaction time is 8 hours. Operating temperature
variations performed are 120°C, 125°C, 130°C and 135°C. Analysis carried
out in the study included analysis of acid value, flash point, kinematic
viscosity, density, and composition of biodiesel. The acid value, the
flash point, the kinematic viscosity, the density, and the biodiesel
composition is analyzed by the ASTM Standards. The results showed that
the highest conversion of 99.85% is obtained at an operating temperature
of 130°C, while the analysis results of acid values, flash points,
kinematic viscosity, and densities have met the ASTM standard for all
variations in operating temperature. |
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Title: |
Characterization of tribological and
mechanical properties of SS-304 coated with Co-Cr-Mo alloy with 5% HCL
solution |
Author (s): |
Abdul Munaf Shaik, K. L. Narayana, K. V.
Durga Rajesh, M. Kedar Mallik and Y. Pratapa Reddy |
Abstract: |
The
service life of a component may be affected by friction and wear. A
study was implemented to examine the dry sliding wear at room
temperature on commercially available SS-304 grade steel coated with
Co-Cr-Mo alloy is done in the present investigation. Specimens were
machined and tested with ASTM standards. Cylindrical samples of 6 mm
diameter were taken for the experimentation. Electroplating has been
carried out using a 5V regulated DC supply under a 5% HCl environment
with different time intervals. The coated surface has been subjected to
wear resistance testing and observed a noticeable increase in wear
resistance for coated specimens under defined test parameters. Co-Cr-Mo
alloy exhibits a specific effect on the tribological properties of
SS-304. It may be used as a temporary biomedical implant. |
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Title: |
Relationship between macroscopic and
microscopic energies near
g-to-b
phase transition for
g-RbAg4I5
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Author (s): |
H. Correa, D. Peña Lara and Daniel
Suescún-Díaz |
Abstract: |
In
this paper, we are reporting on specific heat and
complex conductivity measurements in crystalline
g-RbAg4I5
close to the
g-to-b phase transition at 120 K. Using the electric modulus
formalism for analysis of ionic conductivity relaxation in
g-RbAg4I5,
microscopic interaction energy for a single-mobile ion whose temperature
derivative is proportional to the specific heat was found. The results
suggest that a common ion-ion and ion-lattice mechanism for both ionic
migration and thermodynamic energy (i.e., the enthalpy) of mobile
defects are present in this highly-dense system. The cooperative
behavior observed in this transition region drives the phase transition
at 120 K in
g-RbAg4I5. |
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Title: |
Development of real-time LoRa-based air
pollution monitoring system |
Author (s): |
Ida Syafiza M. Isa, Nur Syahirah
Kamaruzaman and N. Latif A. Shaari |
Abstract: |
Air
pollution can cause long-term health effects on humans, such as heart
disease, lung cancers, and respiratory disease. There are many forms of
contamination induced by smoke or gas emissions due to fossil fuel
burning from transportation. Furthermore, manufacturing operations also
negatively impact the air quality, where the production of plastics,
electronics, and rubber, has contributed to a rise in organic carbon,
inorganic carbon, and dust contaminations. Therefore, in this work, a
real-time air pollution monitoring system has been developed to monitor
air quality considering three types of gas sensors which are MQ2, MQ7
and MQ135. Also, LoRa communication technology is used as the
communication modules between the sensor node located at the site and
the gateway. The system is also equipped with an additional notification
system to send the monitored air concentration data to the control room
via the Telegram application. For monitoring purposes, the monitored
data from the sensors will be updated every 5 minutes in the server
using the Node-Red platform. The performance of the developed system has
been evaluated considering six different distances between the sensor
node and gateway, and the results show that the system has high
reliability. The results also indicate that the average received signal
strength indicator (RRSI) value of the LoRa module between the sensors
and gateway reduced with the increasing distance between the sensor node
and gateway. However, this does not affect the performance of the
developed system. |
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Title: |
Effect of initial moisture content of
wheat grain on its drying time in a rotary dryer |
Author (s): |
N. Perekopsky, A. Zakharov, A. Zykov and
V. Ynin |
Abstract: |
In
the North-West Region of the Russian Federation, the major part of
harvested grain seeds and fodder grain undergoes the post-harvest
treatment at special multipurpose stations to prepare it for storing.
Since the characteristics of raw materials supplied from the fields
differ significantly, the traditional grain treatment technologies
require certain upgrading in terms of both target grain use and its
moisture content. Study aim. The presented study focused on the drying
process of wheat grain seeds and fodder grain, more specifically, the
dynamic pattern of drying time depending on the grain layer thickness.
The study object was the drying process of wheat grain in a rotary
dryer. Materials and methods. The experiments were performed on a rotary
(carousel) drying plant. The study used a stationary “FAUNA-P” in-stream
meter with two sensors installed in the carousel dryer and BV-40 silo.
It provided the real-time measuring of grain moisture content and
temperature and accurate tracking of the dynamic pattern of drying wheat
grain seeds and fodder grain in the layer of 0.45 m, which was
conveniently divided into three zones of 0.15 m each. Results and
conclusions. According to the experiments results, each grain layer
dried at a different rate. To reduce the drying time of above 25%
moisture grain the drying layer of 0.3 m was found most rational, in
contrast to the average initial grain moisture content of 20% and a
structurally specified layer height of 0.45 m. The grain layer height in
the carousel dryer was considered rational if, having passed it, the
heat carrier was completely saturated with moisture. The initial
moisture content and the grain drying regime affected not only the
drying time, but also, as a consequence, the production capacity and
specific energy consumption of the rotary dryer. Thus, with the initial
grain moisture content of 21.5%, the production capacity of the dryer in
the grain seed drying mode decreased by 1.9 times, and per ton costs
increased by 1.45 times as compared to the fodder grain drying mode. |
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Title: |
Thermal-Hydraulic processes in air and
carbon dioxide gas turbines |
Author (s): |
Kindra V., Komarov I., Osipov S.,
Makhmutov B. and Naumov V. |
Abstract: |
The
continuous increase of the anthropogenic emission of carbon dioxide and
toxic agents causes the development of oxy-fuel combustion power cycles.
This development involves the improvement of the advanced approach to
the design of the carbon dioxide operating power production equipment.
This paper discloses the influence of the thermodynamic and
thermal-physical performance of gas turbine cooling agents upon the
efficiency of the thermal-hydraulic process in the flow path and cooling
system channels. |
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Title: |
Securing and optimizing sensor network
using deep learning algorithms |
Author (s): |
Vimal Kumar Stephen, Robin Rohit Vincent
and Mohammed Tauqeer Ullah |
Abstract: |
Wireless sensor network (WSN) is a collection of sensor nodes that can
sense various physical properties and communicate with one another in
various ways. Security is a major concern in many real-world WSN
applications. The goal of this work is to improve WSN security by
identifying and countering adversarial denial-of-service (DoS) attacks.
WSNs are subject to a variety of DoS assaults, depending on the layer
they're attacking. This research employs neural network (NN) & support
vector machine (SVM) machine learning approaches to detect
denial-of-service (DoS) assaults on the MAC layer. After that, it
assesses the effectiveness of the two approaches. Securing the MAC layer
is critical because it allows sensor nodes to access wireless channels.
The results revealed that these algorithms performs well in securing and
optimizing the sensor networks. |
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Title: |
Inverse point kinetics with feedback
effects depending on the history of neutron density using the first
bernoulli number |
Author (s): |
Daniel Suescún-Díaz, Geraldyne Ule-Duque
and Gilberto Espinosa-Paredes |
Abstract: |
In this
work, it is proposed to study the calculation of reactivity using the
inverse point kinetic equation, considering the Doppler effect due to
temperature feedback in a nuclear reactor. Different numerical
experiments are performed assuming an exponential form in the neutron
density, with different time steps and different initial conditions for
the temperature. The results found allow establishing an interval of
validity of the proposed method compared to the analytical solution. |
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Title: |
Spectral image classification from
compressive measurements based on singular value decomposition |
Author (s): |
Ferley Medina Rojas, Juan A. Castro Silva
and Faiber Robayo Betancourt |
Abstract: |
Classification consists of categorizing image pixels, specifically, in a
spectral image (SI) it is used to determine environmental pollution
agents, to stable land use, and to monitor crops. Due to the high
dimensionality of the SI, classification is inefficient. However,
compressive sampling (CS) has been established as a sampling protocol of
SI allowing the reduction of data. Recently, CS classification is a
promising research area, but it has only been tested on some specific
systems. This paper proposes a general classification algorithm in
compressive spectral imaging which uses singular value decomposition for
estimating sparse dictionary of the data. From this dictionary, the
algorithm performs a rough estimation which allows the classification of
every spectral pixel in known classes by using discriminant analysis.
The estimation is made by solving the inverse problem. Simulations with
three state of the art compressive imagers show the outstanding
performance of the proposed algorithm even in presence of noise. |
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Title: |
GA based reactive power procurement cost
optimization of deregulated electricity market |
Author (s): |
Vishnu B. Patel and Rajesh M. Patel |
Abstract: |
RPP is
one of the most essential ancillary service. In VIU, the single monopoly
company took charge of operations such as generation, transmission and
distribution, so the supply of ancillary service and its charging was
not a crucial concern as it was included in the energy price. Different
entities conducted various tasks such as generation, transmission and
distribution in the deregulated industry, so that the supply of reactive
power to sustain voltage security became a critical problem. For their
facilities, the reactive electricity provided from multiple suppliers
needs to be remunerated. In order to ensure the efficient and safe
functioning of the whole power grid, the correct reactive power
procurement process and proper handling of RP support must be taken care
of by ISO. The emphasis of this paper was on RPP and the estimation of
the optimal overall market payment for the procurement of reactive
capacity. The GA used to solve anticipated method and implemented on
IEEE 24 bus system. |
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Title: |
Pressure and pressure derivative
determination of the average reservoir pressure for vertical wells in
naturally fractured reservoirs from buildup, drawdown and multi-rate
tests |
Author (s): |
Freddy Humberto Escobar, Angela Maria
Palomino and Daniel Suescun-Diaz |
Abstract: |
The
late-time well pressure solution for a homogeneous reservoir changes
when the well has been fractured. Same situation happens in a naturally
fracture reservoir. Then, the average reservoir pressure ought to be
changed. In this work, both average reservoir pressure and reservoir
shape factor equations are provided for hydraulically-fractured vertical
wells in naturally fractured occurring formations bearing hydrocarbons.
The expressions are given for buildup, drawdown and multi-rate tests in
both oil and gas tests. These expressions are successfully tested with
synthetic examples and compared to calculations from a commercial well
test software given absolute deviation errors lower than 1.3 %. |
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Title: |
COINIC-PH: A Philippine new generation
series of coin intelligent classification inference approach for
visually impaired |
Author (s): |
Alvin Alon, Catherine Alimboyong, Philip
Ermita, Jaime Pulumbarit and Marlon Hernandez |
Abstract: |
Object
detection experiences widespread use in many technology-related fields
nowadays. This paper uses computer vision to execute object detection of
the new series of coins of the Philippine peso. Compared to the coin
designs of the previous series, these coins are much more identical to
each other, which can be hard to distinguish for people with bad
eyesight. Through the use of object detection, these coins can then be
classified into their respective amounts just by an image or video
sample. The machine learning model used in this paper performed
sufficiently, with it being able to distinguish the one, five, ten, and
twenty-peso coins from each other from image and video samples. |
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