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ARPN Journal of Engineering and
Applied Sciences March 2022 | Vol. 17 No. 5 |
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Title: |
Alkaline silicate compositions of porous
structure |
Author (s): |
Miryuk O. A. |
Abstract: |
The
article presents the results of studies of a porous heat insulating
alkaline silicate compositions based on technogenic raw materials. The
influence of technogenic factors on aeration of compositions made of
liquid glass and technogenic filler has been detected. Aeration of the
compositions has been evaluated by the bulk and stability of foam,
structure and density of foamed concrete. The influence of type and
concentration of foaming agent, filler content, agitation mode of raw
stuff on formation of cellular structure has been studied. The structure
of aerated materials has been analyzed. Reasonable ratios of solid to
liquid components in molding blend have been determined. Additional
aeration of cellular structure by means of addition of aerated
technogenic filler and gas forming agent, hydrogen peroxide, has been
demonstrated. The results of studies of a porous aggregate obtained
using liquid glass and technogenic materials (glass cullet, magnetite
ore dressing waste, substandard rocks) are presented. Feasibility of a
multicomponent feed mixture for pyroplastic swelling of granules is
substantiated. Optimization of raw mix composition provided the
possibility of combining various formation mechanisms of porous
granules. |
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Title: |
Experimental study of Nano-Lubricant on
temperature reduction and distribution during machining of Al-Si-Mg
composite using deform 3D finite element method |
Author (s): |
I. P. Okokpujie, J. E. Sinebe, E. T.
Akinlabi, L. K. Tartibu, A. O. M. Adeoye and C. T. Akujieze |
Abstract: |
The
temperature reduction process is a vital part of the manufacturing
process. High-temperature generation during machining operation leads to
thermal deformation on the developed component, affecting the operation
life span of the component. The computer numerical machining process is
one of the recent technology employed for the automatic manufacturing
process. These operations are plagued with temperature during the
machining of transforming hard raw materials to replace mechanical
parts. Therefore, cutting fluid for lubrication and as cooling agents
has become a necessary part of this process to reduce cost and
manufacturing time. Thus, this study investigated the effect of mineral
oil-based-Multi-walled carbon nanofluid (MWCNTs) compared to pure
mineral oil in the turning of aluminum-silicon magnesium metal matrix
composite (AlSiMg) on temperature reduction and distribution. The
nanofluid was prepared with 0.4g of MWCNT to 1 liter of mineral oil. The
study employed the energy dispersive spectrometer to obtain the chemical
composition of the developed nanofluid. The turning experiment was done
using Taguchi L9 orthogonal array to obtain the best possible results.
Furthermore, Finite element software DEFORM 3D v11.0 using a lagrangian
incremental approach was employed to simulate chip formation and
temperature distribution on the workpiece and to study the effects of
the machining parameters on the temperature distribution. The experiment
results showed a significant reduction of 11.9% in temperature when
machining with nanofluid compared to pure mineral oil. The simulation
results showed that as the cutting speed and feed rate increase, the
temperature increases. The minimum temperature via the DEFORM 3D Finite
Element Model simulation was achieved at spindle speed 870 rpm, feed
rate 2 mm/rev, and depth-of-cut 1 mm. In conclusion, the study
recommends that the manufacturing industry employ the optimized
machining parameters during the turning of AlSiMg metal matrix composite
for a sustainable machining process. |
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Title: |
Estimation of rock fragmentation using
electronic and shock tube detonators in limestone mine blasting |
Author (s): |
R. K. Das and P. Y. Dhekne |
Abstract: |
Fragmentation has a considerable effect on the efficiency of the loading
and transportation of the ore. If the fragmentation is coarse, then
fragments are further required to be fragmented which involves extra
time and cost. Research has proved that the rock fragmentation depends
upon the delays introduced in a blast. Normally, shock tube detonators
are used in Indian limestone mine blasting for providing the delay.
Electronic detonators are also used in the Indian limestone mining
industry, but their use is rather scanty. A little work in limestone
mining is reported as regards to the assessment of the rock
fragmentation distribution resulting from the blasts initiated using
electronic detonators. In the present work, seven blasts have been
monitored in a limestone mine to assess the effect of electronic and
shock tube detonators on rock fragmentation. The blasts have been
conducted in similar rockmass and with drill and blast parameters except
the type of the detonators. Wipfrag image-analysis software has been
used for the estimation of rock fragmentation in the muckpile. Results
indicate that the blasts with electronic detonators yielded finer
fragmentation than those with shock tube detonators. A reduction in
oversize fragmentation in the blasts with electronic detonators can be
attributed to an increased crack density, timely interference of the
stress waves, and entry of gaseous products of blasting in the cracks
generated in the rockmass. The result is corroborated by a reduction in
the rock breaker operation time. The results indicate that the
electronic detonators may pose a technical alternative to shock tube
detonators in the investigated rockmass. |
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Title: |
Efficient, simple and secure encryption
decryption algorithm using color image as a private key |
Author (s): |
Adnan Manasreh, Mohammad S. Khrisat, Hatim
Ghazi Zaini and Ziad A. Alqadi |
Abstract: |
Cryptography is the art of destroying secret data making it
unintelligible and illegible, in this paper research a method based on
the use of digital images will be introduces. The method will use a
digital color image to extract all necessary working and sup keys. The
method will be implemented to show how it increases the cryptography
process efficiency. The proposed method will be compared with other
popular method such as DES, AES, and LED methods, it will be shown how
the introduced method will decrease both the encryption and decryption
times eliminating some important tasks in cryptography process like key
generation and key scheduling. |
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Title: |
Grasshopper optimization algorithm in
optical filter design for transmission applications |
Author (s): |
L. Jegan Antony Marcilin and N. M.
Nandhitha |
Abstract: |
This
research concentrates on developing the optical band filter based on the
grasshopper optimization algorithm (GOA) for the transmission
applications. The optimal design is obtained by evaluating the various
parameters, like thickness, refractive index and the influence of
selecting optical parameters, which in turn boost the transmission
potential. At first, the alternative multi-layer stack with 32, 30 and
28 layers are designed by varying the thickness and maintaining the
constant low and high refractive indices integration of the dielectric
substances. The algorithm is used to obtain the best feasible solution
by optimizing the thickness of every layer. The proposed method is
implemented using the MATLAB tool and the experimental outcome reveals
the effectiveness of the proposed methodology. |
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Title: |
Bi-Objective assignment problem with a
minor minimum method and generalized interval arithmetic |
Author (s): |
N. Mathavan and G. Ramesh |
Abstract: |
The
assignment problem is a well-known topic that is frequently used in
engineering and management science difficulties. In this paper we
presented a minor minimum method with generalized interval arithmetic (MMMWGIA)
for Bi-Objective Interval Assignment Problem (BOIAP). We present a new
algorithm for solving interval assignment problems. This method provides
the efficient/non - efficient solution and best compremise solution than
minor minimum method (MMM) for BOIAP. This technique helps us decision
makers working with BOIAP. A numerical example is provided to illustrate
the BOIAP. |
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Title: |
Improvement of a new design for the
lighting system (AFS) automobile using matrices to led and digital
technology (PWM) |
Author (s): |
Hamad Dahou, Amal Satif, Abdelkarim
Zemmouri, Mezouari Abdelkader, Rachid Elgouri and Laamari Hlou |
Abstract: |
AFS
(Adaptive Front-Lighting System) automatic lighting system is a new
technique added to modern vehicles. It helps to improve front lighting,
which contributes to the improvement of motor vehicle safety. Given the
importance of this system, a new architecture of this system is propose
in this article. This architecture replaces the old architecture, which
is base on the lighting system of conventional headlamps by a new
lighting system based on LEDs. The new system features are efficient,
intelligent, economical in terms of energy consumption, and offers total
and continuous coverage of the lighting level on the entire road during
driving. |
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Title: |
Behavioral based kernel neutrosophic
clustering for heterogeneous cross project defect prediction |
Author (s): |
N. Kalaivani and R. Beena |
Abstract: |
Software defect prediction is very essential in the field of software
development and maintenance which is highly demanded quality of service.
Heterogeneous defect prediction is the most appropriate method for real
time datasets. The heterogeneous metrics of cross projects are used for
predicting in many existing models, but the presence of outlier and
noisy datasets are not considered as an important factor thus the
standard prediction models face challenges in producing more accurate
results. This paper focuses on handling the impreciseness and vagueness
in treating noisy and outliers in software defect prediction dataset.
This is accomplished by adapting bipartite ranking based feature
ranking, which converts the target attribute size same as source
attribute size and the feature selection by selecting the top
attributes. The noisy and outlier is handled by kernel neutrosophic
clustering by introducing the degree of truthiness, indeterminacy and
falsity. Finally, Grey Wolf Optimization enhances the heterogeneous
cross project prediction process by selecting the significant centroids
in kernel neutrosophic clustering unlabeled instances. This work used
six different heterogeneous datasets for software defect prediction and
the results explores that the proposed model performs better and
increase the prediction rate prominently. |
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Title: |
Investigation of the energy output of
parabolic trough racks based on using different rhomboid layout |
Author (s): |
Saad S. Alrwashdeh |
Abstract: |
Energy problems are the most prominent problems in the world these days.
Hence, the process of continuous improvement of energy production
technology and its development has become the goal of all countries in
the world, including Jordan. This study is based on verifying the energy
production quantities of concentrated solar energy systems - parabolic
trough racks using different arrangement patterns of the solar receiver
fields. Where it was found through this study that the arrangement
patterns of the fields have an impact on the quantities of energy
produced from the concentrated solar power plants - parabolic trough
racks. |
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Title: |
Application of fuzzy logic for the
guidance of computer science students |
Author (s): |
Tarik Bourahi, Azouazi Mohamed and
Abdessamad Belangour |
Abstract: |
This
research aims to better orient computer science students for the choice
of the valid option in computer science, using the theory of fuzzy
logic. This aims to overcome the problem of ambiguity and uncertainty.
First we will present the curriculum of computer scientists after
obtaining the baccalaureate and the criteria used which are presence,
revision and concentration. Second we will present the theory of fuzzy
logic and its stages then we have established the fuzzification of the
cited criteria, then the fuzzy rules and after that we have performed
the defuzzification. Finally, in order to guide the student specializing
in computer science in their best option choices, the three criteria
chosen must be excellent and high. |
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Title: |
Detection of Alzheimer’s disease using MRI
images based on SVM classifier |
Author (s): |
P. M. K. Prasad and Y. Raghavender Rao |
Abstract: |
In the
present scenario, most of the people are suffering from memory loss
which leads to the cause of Alzheimer’s disease. It slowly destroys the
brain cells resulting in memory loss affects thinking, language skills
and behavioral changes. As the age progresses, people are affected with
this disease. So, it is required to detect at an initial stage, so that
proper treatment can be given to the patient. There are various methods
such as mini mental state examination, HOG and SURF, regional arthopy
are used to detect Alzheimer’s. But these methods are not reliable. So
proposed method effectively detects Alzheimer’s disease. This method
consists of four steps that is, preprocessing, segmentation, feature
extraction and classification. This method extracts various textual
features using GLCM. SVM classifier is used to classify these features
and it is more superior compared to other classifiers. The proposed SVM
classifier based Alzheimer’s detection is more superior when compared to
the other methods. |
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Title: |
Stability of heavy vehicles: Influence of
the characteristics of the road |
Author (s): |
Gonzalo Moreno Contreras, Rafael Bolívar
León and Bladimir Ramón Valencia |
Abstract: |
The
study on the stability of vehicles when they make curves or evasive
maneuvers allows us to identify how prone a vehicle is to have a
rollover accident; taking this aspect into account, many studies
identify the influence of the characteristics of the vehicle and the
road on the calculation of the factor called Static Rollover Threshold (SRT);
however, this factor depends largely on the location of the vehicle's
center of gravity and the subsequent load distribution, in this sense,
the load distribution can be affected by road conditions, such as are
the lateral and longitudinal inclinations of this. Therefore, in this
article, a bibliographic review of the main formulas developed to
determine the SRT factor with the influence of the road is carried out,
and a case study is developed to determine the influence of road in the
calculation of the factor. |
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