AN INVESTIGATION OF USING GREY SCALE IMAGE ANALYSIS FOR PREDICTING THE AMOUNT OF DEPOSITED ELECTROSPUN NANOFIBRES

Hamid, A.H and Long, F.C and Daud, M.A.M and Mansor, M.R and Tucker, Nick and Muhammad, N (2019) AN INVESTIGATION OF USING GREY SCALE IMAGE ANALYSIS FOR PREDICTING THE AMOUNT OF DEPOSITED ELECTROSPUN NANOFIBRES. Journal of Mechanical Engineering and Sciences, 13 (1). pp. 4679-4692. ISSN 2289-4659

Full content URL: https://doi.org/10.15282/jmes.13.1.2019.23.0393

Documents
JKSUES_2018_52_Original_V0.pdf

Request a copy
AN INVESTIGATION OF USING GREY SCALE IMAGE ANALYSIS FOR PREDICTING THE AMOUNT OF DEPOSITED ELECTROSPUN NANOFIBRES
Publishers PDF
[img]
[Download]
[img] PDF
JKSUES_2018_52_Original_V0.pdf
Restricted to Repository staff only

2MB
[img] PDF
NT Pub PDF.pdf - Whole Document
Available under License Creative Commons Attribution-NonCommercial 4.0 International.

515kB
Item Type:Article
Item Status:Live Archive

Abstract

When electrospinning, the amount of electrospun fibres deposited is difficult to determine due to the extremely small size and light weight of the fibres. Several methods have been used to predict the amount of deposited fibres including weighing, imaging and direct measurement. Although these methods work to a certain extent, they all have drawbacks that make them unsuitable for commercial scale process control. The methods are generally time consuming, destructive and only examine a small area of web. In this study, an image analysis method is used to predict the amount of electrospun fibres deposited over a significant area. When images of electrospun fibres are converted into grey scale images, it is suggested that the amount of fibres deposited can be predicted by measuring the grey scale intensity. A conventional weighing method was used to validate the image analysis results. The weighing method was found wanting when the deposition time was short (p>0.05). This was because the measured fibre masses were insignificant compared to the weight variation of the collector substrates. Statistical analyses showed that there were a strong correlation between grey scale intensity and deposition time especially at short deposition times. The results suggest that image analysis method could be used to predict the amount of deposited electrospun nanofibres. Further test on different polymers and different coloured substrates showed that the method was still capable to distinguish the samples. The developed method has the potential to be applied as an in-line non-destructive quality control method for electrospun fibre manufacture.

Keywords:Electrospinning, image analysis
Subjects:H Engineering > H713 Production Processes
Divisions:College of Science > School of Engineering
ID Code:31061
Deposited On:11 Apr 2019 09:58

Repository Staff Only: item control page