Predicting Extrusion Process Parameters in Nigeria Cable Manufacturing Industry Using Artificial Neural Network

Predicting Extrusion Process Parameters in Nigeria Cable Manufacturing Industry Using Artificial Neural Network

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The extrusion process is a very complex process due to the number of process parameters that are associated with it which are prone to high fluctuations. The main purpose of this work is to determine the realistic extrusion process parameters in the thermoplastic extrusion process in Nigeria cable manufacturing industries with the use of an artificial neural network. Conventionally, the use of...
 
Published at Heliyon
Published in 2020
 
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Ademola Abdulkareem, Ayokunle Adesanya, Adesina
Abdulkareem Ademola » Engr. Dr. Ademola Abdulkareem is a Senior Lecturer in the Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria. He obtained a Bachelor of Engineering (B.Eng.) in Electrical/Electronic Engineering from the University of Ilorin, Ilorin, Nigeria. He also earned a Master's degree (M.Sc.) in 2008 at the University of Lagos, Lagos, Nigeria, in Electrical and... view full profile
Abdulkareem Ademola
 
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