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

Simple item page
dc.contributor.authorAyokunle Adesanya
dc.contributor.authorAdemola Abdulkareem
dc.contributor.authorLambe Mutalub Adesina
dc.date.accessioned2025-03-02T20:46:42Z
dc.date.available2025-03-02T20:46:42Z
dc.date.issued2020-07-01
dc.description.abstractThe 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 trial-and-error technique which involves full-size experiments is generally used to determine the process parameters in the thermoplastic extrusion process. This conventional technique is expensive and it is also time-consuming. The use of an artificial neural network to predict extrusion process parameters before plant execution will make extrusion process operations more efficient. This technique also bridges the gap that exists between theoretical analysis and real manufacturing systems because real manufacturers' data was used. The neural network was developed in a MATLAB environment and was trained with a supervised learning method based on Levenberg Marquardt Algorithm and the developed ANN model is capable of predicting manufacturing process parameters for different grades of PVC thermoplastic material.
dc.description.sponsorshipAuthors
dc.identifier.issn2405-8440
dc.identifier.urihttps://doi.org/10.1016/j.heliyon.2020.e04289
dc.identifier.urihttps://kwasuspace.kwasu.edu.ng/handle/123456789/4486
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofseriesVol. 6; Issue 7, pp.1 - 12
dc.titlePredicting Extrusion Process Parameters in Nigeria Cable Manufacturing Industry Using Artificial Neural Network
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
27. Predicting Extrusion Process Parameters in Nigeria Cable Manufacturing Industry Using ANN .pdf
Size:
2.44 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Scholarly Publication