ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY

ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY

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Artificial Neural Network (ANN) was used to model the effect of Chromium dopants on the mechanical properties duralumin (Al-4 %Cu). The results showed that the hardness, yield strength, and ultimate tensile strength increased, while the energy absorbed and percentage elongation decreased, with incr...

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Main Authors: EYERE EMAGBETERE, OGHENEKOWHO PETER ARUOTURE, FESTUS IFEANYI ASHIEDU
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2019-03-01
Series:Journal of Engineering Studies and Research
Subjects:
Aluminium composite
chromium dopants
tensile strength
hardness, percentage elongation
sand casting
Online Access:http://www.jesr.ub.ro/1/article/view/37
id doaj-51454c06328d4bc6a88a0a43ca33463e
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spelling doaj-51454c06328d4bc6a88a0a43ca33463e2021-10-02T19:18:43ZengAlma Mater Publishing House "Vasile Alecsandri" University of BacauJournal of Engineering Studies and Research2068-75592344-49322019-03-0125110.29081/jesr.v25i1.37ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOYEYERE EMAGBETERE0OGHENEKOWHO PETER ARUOTURE1FESTUS IFEANYI ASHIEDU2Department of Mechanical Engineering, Federal University of Petroleum Resources, P.M.B 1221, Effurun, NigeriaDepartment of Mechanical Engineering, Federal University of Petroleum Resources, P.M.B 1221, Effurun, NigeriaDepartment of Mechanical Engineering, Federal University of Petroleum Resources, P.M.B 1221, Effurun, Nigeria Artificial Neural Network (ANN) was used to model the effect of Chromium dopants on the mechanical properties duralumin (Al-4 %Cu). The results showed that the hardness, yield strength, and ultimate tensile strength increased, while the energy absorbed and percentage elongation decreased, with increasing %wt of Chromium dopants. Simulation results of ANN show strong agreement with experimental values, having satisfactory R-values of Mean Square Error. ANN can suitably be used to predict the mechanical properties of Al-4%Cu doped with Chromium. http://www.jesr.ub.ro/1/article/view/37Aluminium compositechromium dopantstensile strengthhardness, percentage elongationsand casting
collection DOAJ
language English
format Article
sources DOAJ
author EYERE EMAGBETERE
OGHENEKOWHO PETER ARUOTURE
FESTUS IFEANYI ASHIEDU
spellingShingle EYERE EMAGBETERE
OGHENEKOWHO PETER ARUOTURE
FESTUS IFEANYI ASHIEDU
ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY
Journal of Engineering Studies and Research
Aluminium composite
chromium dopants
tensile strength
hardness, percentage elongation
sand casting
author_facet EYERE EMAGBETERE
OGHENEKOWHO PETER ARUOTURE
FESTUS IFEANYI ASHIEDU
author_sort EYERE EMAGBETERE
title ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY
title_short ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY
title_full ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY
title_fullStr ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY
title_full_unstemmed ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY
title_sort artificial neural network in the modelling of the effect of chromium dopants on the mechanical properties of al-4%cu alloy
publisher Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
series Journal of Engineering Studies and Research
issn 2068-7559
2344-4932
publishDate 2019-03-01
description Artificial Neural Network (ANN) was used to model the effect of Chromium dopants on the mechanical properties duralumin (Al-4 %Cu). The results showed that the hardness, yield strength, and ultimate tensile strength increased, while the energy absorbed and percentage elongation decreased, with increasing %wt of Chromium dopants. Simulation results of ANN show strong agreement with experimental values, having satisfactory R-values of Mean Square Error. ANN can suitably be used to predict the mechanical properties of Al-4%Cu doped with Chromium.
topic Aluminium composite
chromium dopants
tensile strength
hardness, percentage elongation
sand casting
url http://www.jesr.ub.ro/1/article/view/37
work_keys_str_mv AT eyereemagbetere artificialneuralnetworkinthemodellingoftheeffectofchromiumdopantsonthemechanicalpropertiesofal4cualloy
AT oghenekowhopeteraruoture artificialneuralnetworkinthemodellingoftheeffectofchromiumdopantsonthemechanicalpropertiesofal4cualloy
AT festusifeanyiashiedu artificialneuralnetworkinthemodellingoftheeffectofchromiumdopantsonthemechanicalpropertiesofal4cualloy
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