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ARPN Journal of Engineering and
Applied Sciences
May 2022 | Vol. 17 No. 10 |
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Title: |
Nano/Micro smoothing and reflectivity
enhancement for preparation of aluminum surface mirror |
Author (s): |
Ahmed M. Awad Abouelata and Sanaa A.
Gaballah |
Abstract: |
Optical characteristics of aluminum surface are vital for several
applications and high reflectivity is required for applications of solar
devices and optical microscopes. Electrochemical polishing (EP) was used
for enhancement of leveling of the surface and elimination of nano/micro
asperities, cavities and scratches. Electrolytic solution was prepared
using mixture H3PO4, H2SO4 and H2O, with concentrations 55%, 14%, 31%,
respectively. Ethylene glycol (EG) was added with different
concentration 10, 20, 30 and 40 ml/l. After EP process, the samples
washed well and dried at 110 °C. Then, the surface was investigated by
SEM, AFM to evaluate the roughness of the surface. Gloss value and
reflectance of the surface were obviously increased after EP treatment.
Hardness and thickness of the surface were measured after EP treatment,
where hardness was increased from 49 to 53 Brennel HB and thickness was
increased from 1 to 3 µm after EP with addition of 20ml EG/l. Addition
of 10ml EG/l showed the increase of corrosion resistance of Al surface
to 36.707 KO and decrease of corrosion rate to 0.01890 mm/year after EP
more than other concentrations. |
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Title: |
Experimental studies on wear response of a
carbon nanotube reinforced aluminium matrix composite |
Author (s): |
Mahendra Kumara C. and B. V. Raghavendra |
Abstract: |
Carbon nanotube powder is being used extensively as reinforcement with
many of the alloys currently. Specifically, with aluminum 7075 alloy,
the properties observed to be better with respect to mechanical
behaviour. In the current work the multiwalled carbon nanotube in the
powder form was reinforced in aluminum 7075 matrix in stir casting
method. The specimens obtained during the process are tested for the
microstructure and mechanical characters. Investigation of
microstructure under scanning electron microscope images confirmed the
extent of bonding between the matrix and the reinforcement. The chemical
composition of aluminium and the CNT powder were analysed using XRD
procedure. The casted structures were machined to get the samples for
mechanical tests. From the experimental results it was found that 1.25%
of CNT reinforcement with the matrix improved the wear resistance of the
composite sample produced. The specimens were prepared for the different
weight percentage like 0%, 0.5%, 1% and 1.25% CNT by weight. The
machined samples were tested for wear behaviour under the ASTM G99
standard and found that addition of CNT as reinforcement with the
aluminium material will have enhanced resistance for abrasive wear
principle. Thus the aluminium7075 mixed with the graphene based
reinforcement like carbon nanotubes possess improved characters. |
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Title: |
Research of thermodynamic characteristics
of a gas-generating composition based on ammonium perchlorate |
Author (s): |
Zh A. Amir, Zh B. Kudyarova, D. A.
Baiseitov, L. R. Sassykova and O. Y. Golovchenko |
Abstract: |
The
thermodynamic characteristics of combustion processes of a
gas-generating composition based on ammonium perchlorate have been
investigated. Polyethylene was chosen as a fuel, the choice in favor of
this component is due to the fact that ammonium perchlorate readily
interacts with polyethylene, and this fuel contributes to the rapid
decomposition of ammonium perchlorate. The optimal composition of the
mixture was found. It has been established that the highest efficiency
and specific gas production are observed in the area of stoichiometric
ratio of the initial components of gas generator compositions. The
influence of the oxidizing agent ammonium perchlorate on the energy
release of composite energetic materials, the thermal decomposition of
ammonium perchlorate and ammonium perchlorate with polyethylene was
studied by thermogravimetry and differential scanning calorimetry. In
research for simultaneous thermal analysis of the ammonium perchlorate
samples and the mixture of ammonium perchlorate with polyethylene (the
portion of mixture was 8.6 mg, pure ammonium perchlorate was 10 mg, and
the heating rate was 10°C / min.) was found that at temperatures around
514 K, an endothermic peak is observed corresponding to a polymorphic
transition in the crystal structure of ammonium perchlorate, in both
cases the peaks coincide. At a temperature of about 645.3 K, an
exothermic peak can be observed, at which the oxidation of polyethylene
occurs with a large release of energy. The peak at 702.2 K corresponds
to the decomposition of ammonium perchlorate. The developed gas
generator composition based on ammonium perchlorate can be used for open
pit mining for splitting block stone in a gentle mode or breaking hard
mineral rocks. This composition is safe from an environmental point of
view, there are no toxic gases such as carbon monoxide and nitrogen
oxides in the products. |
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Title: |
MHD free convection and the effects of
second order chemical reactions and double stratification Jeffrey flow
through porous medium over an exponentially stretching sheet |
Author (s): |
B. Reddappa, M. Sudheer Babu and S.
Sreenadh |
Abstract: |
The
goal of this research was to apply the characteristics of a second-order
chemical reaction to a constant flow of MHD Jeffrey fluid through an
electrically conducting stratified porous media across an exponentially
stretched sheet. The BVP4c approach and the sequential application of
the associated similarity variables yield the PDE numerical solution
that controls flow. The charts show exhaustively the results of
impartial effects on energy, temperature, and liquid fixation. The
coefficient of rubbing, pace of hotness move, and mass exchange
coefficients are totally portrayed and measured. A benchmark comparison
benchmark is used to assess the veracity of the generated findings. |
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Title: |
Selecting black currant hybrid seeds in
the breeding process using X-ray |
Author (s): |
A. Zakharov, E. Bezukh, A. Zykov and V.
Ynin |
Abstract: |
The
article describes the process of using soft-beam microfocus radiography
for processing hybrid seeds of black currant in order to determine their
qualitative characteristics. The studies were carried out using the
PRDU-02 X-ray unit. For a more thorough analysis of small seeds, an
X-ray microscope RM-01 was used. Soft-beam microfocus radiography is a
gentle procedure for seeds, since it does not destroy their structure,
and they fully retain their viability and are suitable for further use.
It was found that even visually completely developed seeds have internal
hidden defects, such as seed rotting, detachment of the shell from the
cotyledons and underdevelopment. In general, the viability of seeds of
different black currant varieties was at a high level and amounted to
85.7-91.8% of the total number of seeds studied. The largest number of
completely developed seeds was revealed for the Il’yaMuromets variety -
91.8%, the smallest for the Binar, Peterburzhenka and Yadryonaya
varieties - 85.7%. Microfocus radiography of black currant seeds showed
that their viability was within the same limits as revealed by
germinating them in laboratory conditions. Thus, the method of soft-beam
microfocus radiography in determining the quality of hybrid seeds of
black currant can be successfully used in the breeding process. |
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Title: |
Palm fresh fruit bunch threshing machine
design |
Author (s): |
J. B. Samon |
Abstract: |
In
the view of obtaining a small-scale palm oil mill in rural areas with
probably no electrical energy, the major bottleneck in some small-scale
palm oil processing industries is the stripping (separation) of palm
fruits from bunches. Therefore, it is very important to have an
efficient small threshing machine. This paper depict the design of a
palm bunch threshing machine which requires less human effort and very
efficient. We selected Functional analysis tools (to express our need,
show the relationship between our machine and its environment, and to
express the logical relationship between the functions of the machine),
geometric dimensioning to determine the various sizes of each component
of our threshing machine and CAD software in 3D computer modelling and
simulation of our palm bunch threshing machine. At end we obtained a
design plan of an efficient threshing which requires less human effort
and adapted to the rural environment. |
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Title: |
Face mask detection and identification of
individuals by using CNN algorithm |
Author (s): |
P. Saleem Akram, T. Oam Chandra Laasya, G.
Lakshmi Aishwarya and N. Alekhya |
Abstract: |
The
COVID19 pandemic has had a significant impact on people's social lives.
Due to this pandemic, almost every office, institution, organization in
the world suffered a great deal from being practically closed. The World
Health Organization (W.H.O) recommended everyone wear a mask whenever
they step outside or in a public place. Therefore, it is mandatory to
cover your face with a mask at public places, social gatherings, etc.
Facemask detection has recently become one of the most important tasks
to help society. The advancement of technology has proven that deep
learning has shown its effectiveness in recognition and classification
through image processing. There are many face detection models created
by using several algorithms and techniques. Find whether a person has
put on a mask properly or not and identify that person who didn’t put on
a mask properly employing their age and gender. The combination of the
face mask detection module and age & gender detection module is used. In
our paper, the Haar cascade classifier was implemented to detect faces
from the input images in the face mask recognition module. We train this
module using CNN. We can recognize faces in this model using the Voila
Jones technique and Haar-like features. The face detection module and
age & gender detection module is trained by using a Convolutional neural
network. A model trained by Tal Hassner and Gil Levi is used to
implement Age and Gender detection; an alert sound will be a part of the
outcome if the person is not wearing a mask properly. For the facemask
detection module, the dataset is taken from Kaggle; images of people
wearing masks and not wearing masks are gathered from different sources
and formed into a dataset to train the model. In this paper, we used the
Adience dataset to train age & gender detection and a dataset from
Kaggle containing pictures of people’s faces with and without a mask.
The model attains an accuracy of 93.42 %for face mask detection and an
accuracy of 91.23% for Age and Gender detection. |
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Title: |
Self-Absorption effect in measurements of
lamps luminous flux |
Author (s): |
Alaaeldin Abdelmageed, Essam Elmoghazy and
Ahmed Gaballah |
Abstract: |
In
this work, the effect of self-absorption on the lamps' luminous flux
measurements at the NIS-Egypt integrating sphere facility has been
studied. With integrating sphere photometry comes errors from
self-absorption. Industry standards recommend applying absorption
correction techniques for situations where the physical configuration
and characteristics of the lamp or LED under test differ from the
reference lamp. Self-absorption correction is critical since the
physical size and shape of SSL products and lamps under test are
typically very different from the reference lamp size and shape. In our
study, different groups of lamps under test are used to determine its
luminous flux as well as the self-absorption factor; High-Pressure
Sodium (HPS), High-Pressure Mercury (HPM), Metal Halide (MH),
Double-Ended Halogen (DE), Compact (C1,C2,C3) and LED (W1,W2,W3).
Results show that the self-absorption factor has a considerable effect
that can reach up to 7% on the measurements of total luminous flux such
as in (DE) lamps. This effect must be considered and added to the
measured luminous flux as a correction. Unless the test lamps are the
same type as the standard lamps, the self-absorption should be measured
and corrected. |
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Title: |
Mathematical study of competitive preys -
a predator with Holling type-II functional response |
Author (s): |
Suresh Kumar Y. and Seshagiri Rao N. |
Abstract: |
The
present study proposes and explores a food chain model to study about
the dynamical behavior of two preys and a predator ecosystem where the
preys having competitive interaction among themselves. A Holling type-II
functional response has been adopted for first prey and a predator of
the proposed model. The boundedness, stability, existence condition of
equilibrium of the model is investigated both from analytical and
numerical point of view. Hopf bifurcation analysis is also discussed at
the positive equilibrium point and a global property of dynamical system
is one of the parts of the study. Here, the presented work also utilized
to calculate the instability of the population throughout the
co-existence’s state of steady because of the white noise. At last, the
study is hold up by performing the numerical illustrations. |
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Title: |
Unpaved road distress evaluation using
URDE® |
Author (s): |
Julián Andrés Pulecio Díaz, Oscar Camilo
Valderrama Riveros and Myriam Rocío Pallares Muñoz |
Abstract: |
In this
paper, URDE® software is introduced for the unpaved road distress
evaluation using the VIZIRET method. This software is written in
Hypertext Preprocessor and Php programming language, which allows
multiplatform running, and since this is a Web application, it works on
all operating systems. URDE® software helps estimate the viability
index, road condition, and possible rehabilitation method on 100 m. URDE®
is suitable for reducing the rehabilitation method’s decision-times in
situ, which is essential for government public dependencies who admin
the unpaved roads. Besides, this software allows interaction with
software DACE® and SDDRoads® to design unpaved roads and side drainage
design for roads; the above, in case of count on the answer of reloading
or rebuilding of roads. Finally, URDE® was demonstrated to be an
interesting application for calculation road distress evaluation
anywhere in the world with similar or equal criteria to the VIZIRET
method. |
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Title: |
Chloride ion penetration and corrosion
resistance of slag incorporated self compacted concretes |
Author (s): |
C. Rajamallu, T. Chandrasekhar Reddy and
E. Arunakanthi |
Abstract: |
Basically many of researchers and guide lines were defined as
Self-compacting concrete is a highly flowable and it can totally fill
the form work under the action its own weight, even with a high
congestion of steel reinforcement, it can compact totally without
segregation and bleeding. Since from earlier 1983, durability of
concrete structures was major problem of interest in Japan, for making
concrete durable structures, cementitious materials replaced partly with
pozzolanic materials like GGBS and SF. This study aims to focus on the
possibility of using industrial by-products like Ground Granulated Blast
Furnace Slag (GGBS) and Silica fume in preparation of SCC. Eight numbers
of SCC mixtures and one number of control concrete mix were prepared for
this investigation. The quantity of the cementitious materials and water
cementitious ratio was maintained constant i.e. cementitious materials
(500 kg/m3), while the water cementitious ratio ranged from 0.35 to 040.
The self-compacted concrete mix has prepared with a cement replacement
of 30%, 50% and 70% by GGBS and Silica fume (by 2% weight of GGBS) in
addition Auromix 300 plus is used as Chemical admixture to achieve the
required flow ability, Compressive tests and flexural Tests were done on
hardened properties and T50, Slump flow, L-Box, V-Box, and U-Box tests
were done on fresh properties of self compacted concretes. The test
results show that an economical self-compacting concrete could be
successfully developed by incorporating high-volumes of GGBS, and also
it proves that making of self-compacting concrete more affordable and
low cost for the construction market by replacing high volumes of
Portland cement by GGBS. The Cube and beam specimens were casted and
cured in to NaCl solution (3.5% by weight of water) after normal 28days
curing. Durable Studies have been carried out, such as Chloride
penetration by chemical analysis, Corrosion of reinforcement by RPS
system and Micro analysis of SCC by XRD,EDX and SEM tests for exposure
ages of 28, 56, 84 and 98days. |
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Title: |
Application to determine the Normalized
Differential Vegetation Index of crops using a drone |
Author (s): |
Angelo Albano Reyes Carvajal, Gilma Paola
Andrade Trujillo and Faiber Robayo Betancourt |
Abstract: |
This
work presents an application’s design based on Matlab for the relative
biomass measurement through the NDVI (Normalized Differential Vegetation
Index) using a drone or unmanned aircraft. This application allows
farmers to view the crops’ topsoil state in real-time to determine
corrective or improvement actions. The NDVI calculation response is
evaluated through the percentage referenced in the number of pixels with
specific image characteristics, which must be a value greater than or
equal to 0.2 of NDVI. The results are compared with commercial software.
As a result, it’s shown the pixel saturation correction stage through
the reflectance correction system allows to obtain 10% of pixels lower
than the NDVI threshold, at the same time improves the vegetation cover
state visualization since by eliminating in this stage, several areas of
the culture show overexposure (low color contrast) in the NDVI values. |
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