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

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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Autores principales:	EYERE EMAGBETERE, OGHENEKOWHO PETER ARUOTURE, FESTUS IFEANYI ASHIEDU
Formato:	article
Lenguaje:	EN
Publicado:	Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2019
Materias:	Aluminium composite chromium dopants tensile strength hardness, percentage elongation sand casting Technology T Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/51454c06328d4bc6a88a0a43ca33463e
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spelling	oai:doaj.org-article:51454c06328d4bc6a88a0a43ca33463e2021-12-02T19:52:43ZARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY10.29081/jesr.v25i1.372068-75592344-4932https://doaj.org/article/51454c06328d4bc6a88a0a43ca33463e2019-03-01T00:00:00Zhttp://www.jesr.ub.ro/1/article/view/37https://doaj.org/toc/2068-7559https://doaj.org/toc/2344-4932 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. EYERE EMAGBETEREOGHENEKOWHO PETER ARUOTUREFESTUS IFEANYI ASHIEDUAlma Mater Publishing House "Vasile Alecsandri" University of BacauarticleAluminium compositechromium dopantstensile strengthhardness, percentage elongationsand castingTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENJournal of Engineering Studies and Research, Vol 25, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Aluminium composite chromium dopants tensile strength hardness, percentage elongation sand casting Technology T Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Aluminium composite chromium dopants tensile strength hardness, percentage elongation sand casting Technology T Engineering (General). Civil engineering (General) TA1-2040 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
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.
format	article
author	EYERE EMAGBETERE OGHENEKOWHO PETER ARUOTURE FESTUS IFEANYI ASHIEDU
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
publishDate	2019
url	https://doaj.org/article/51454c06328d4bc6a88a0a43ca33463e
work_keys_str_mv	AT eyereemagbetere artificialneuralnetworkinthemodellingoftheeffectofchromiumdopantsonthemechanicalpropertiesofal4cualloy AT oghenekowhopeteraruoture artificialneuralnetworkinthemodellingoftheeffectofchromiumdopantsonthemechanicalpropertiesofal4cualloy AT festusifeanyiashiedu artificialneuralnetworkinthemodellingoftheeffectofchromiumdopantsonthemechanicalpropertiesofal4cualloy
_version_	1718375899309539328

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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