An investigation of using grey scale image analysis for predicting the amount of deposited electrospun nanofibres
| Autor: | Muhd Ridzuan Mansor, M.A.M Daud, A.H. Nurfaizey, Noryani Muhammad, Nick Tucker, F.C. Long |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
chemistry.chemical_classification
Commercial scale Materials science 020502 materials Mechanical Engineering Computational Mechanics Energy Engineering and Power Technology 02 engineering and technology Polymer 021001 nanoscience & nanotechnology Grey scale Industrial and Manufacturing Engineering Electrospinning Fuel Technology 0205 materials engineering chemistry Mechanics of Materials Deposition (phase transition) Process control Composite material 0210 nano-technology Intensity (heat transfer) Control methods |
| Zdroj: | Journal of Mechanical Engineering and Sciences; Vol 13 No 1 (2019): (March 2019); 4679-4692 |
| ISSN: | 2381-3652 2231-8380 2289-4659 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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