Morphology study of nanofibers produced by extraction from polymer blend fibers using image processing

Dehghan, Neda; Tavanaie, Mohammad Ali; Payvandy, Pedram

doi:10.1007/s11814-015-0004-3

Cited by 12 publications

(9 citation statements)

References 20 publications

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“…The melting and mixing process can generate morphologies ranging from dispersed drops to fibers to lamella to co-continuous structures [33], see Figure 2. The initial morphology of immiscible polymer blend fibers is usually represented as a droplet-matrix or fibril-matrix morphology [31,32,[34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52]. The strategy to produce lamellae and other morphologies is more difficult than that required for the droplet-matrix morphology since the interfacial tension tends to minimize the surface of the second phase [7].…”

Section: Morphology Development Along the Spinning Linementioning

confidence: 99%

Morphology Development of Polymer Blend Fibers along Spinning Line

Chen

Dan

2019

Fibers

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Melt spinning is an efficient platform to continuously produce fiber materials with multifunctional and novel properties at a large scale. This paper briefly reviews research works that reveal the morphology development of immiscible polymer blend fibers during melt spinning. The better understanding of the formation and development of morphology of polymer blend fibers during melt spinning could help us to generate desired morphologies and precisely control the final properties of fiber materials via the melt spinning process.

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Section: Morphology Development Along the Spinning Linementioning

confidence: 99%

Morphology Development of Polymer Blend Fibers along Spinning Line

Chen

Dan

2019

Fibers

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“…Also, it is insoluble in all common organic solvents, preventing its use in electrospinning for production of nanofibers. In Blend of PP/PBT was spun in an industrial-scale spinning unit by Dehghan et al 113 PBT nanofibers were then produced by extraction of PP with xylene. Draw ratio was found to have considerable effects on the nanofiber diameter, and the average diameter of nanofibers obtained varied from 175 to 420 nm at the highest draw ratio.…”

Section: Nanofibers Prepared From Other Blendsmentioning

confidence: 99%

“…Draw ratio was found to have considerable effects on the nanofiber diameter, and the average diameter of nanofibers obtained varied from 175 to 420 nm at the highest draw ratio. 113…”

Section: Nanofibers Prepared From Other Blendsmentioning

confidence: 99%

Extraction of nanofibers from polymer blends: A brief review

Rabiei

Kish

2018

Polymers for Advanced Techs

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This review is about the naturally formed and intentionally produced nanofibrils or nanofibers (NFs) that have been extracted and utilized or expected to be used for special applications. The diameter of NFs ranges between a few to a few hundred nanometers. Methods to arrange synthetic NFs assembly in yarns or pads forms have been examined. High throughput productions, versatility of various thermoplastics, and less environmental pollution are the advantages of the methods of extraction, which seems to make it as an economical process. It can also be used for the polymers that are difficult to be converted to NFs by electrospinning. The process is challenging and scientifically fascinating to attract the investigators. There are many more polymers to be considered, and there are many more envisioned applications that have to be practiced in the future. A theoretical base is needed for the evaluation of the effects of polymer flow parameters on the extracted NFs properties.

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“…used to study the thresholds of images. Dehghan and et al showed in their studies that the clustering method presented the best results compared with the typical thresholding [32]. Also, Lin et al [33] and Srinivas et al [34] found the k-means algorithm as a suitable method to extract the object from the background in the images.…”

Section: Measuring the Uniformity Of Thermally Bonded Pointsmentioning

confidence: 99%

Measurement of the Uniformity of Thermally Bonded Points in Polypropylene Spunbonded Non-Wovens Using Image Processing and its Relationship With Their Tensile Properties

Emadi

Tavanaie

Payvandy

2018

Autex Research Journal

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This article aims at the image processing of surface uniformity and thermally bonded points uniformity in polypropylene spunbonded non-wovens. The investigated samples were at two different weights and three levels of non-uniformity. An image processing method based on the k-means clustering algorithm was applied to produce clustered images. The best clustering procedure was selected by using the lowest Davies-Bouldin index. The peak signal-to-noise ratio (PSNR) image quality evaluation method was used to choose the best binary image. Then, the non-woven surface uniformity was calculated using the quadrant method. The uniformity of thermally bonded points was calculated through an image processing method based on morphological operators. The relationships between the numerical outcomes and the empirical results of tensile tests were investigated. The results of image processing and tensile behavior showed that the surface uniformity and the uniformity of thermally bonded points have great impacts on tensile properties at the selected weights and non-uniformity levels. Thus, a sample with a higher level of uniformity and, consequently, more regular bonding points with further bonding percentage depicts the best tensile properties.

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Morphology study of nanofibers produced by extraction from polymer blend fibers using image processing

Cited by 12 publications

References 20 publications

Morphology Development of Polymer Blend Fibers along Spinning Line

Morphology Development of Polymer Blend Fibers along Spinning Line

Extraction of nanofibers from polymer blends: A brief review

Measurement of the Uniformity of Thermally Bonded Points in Polypropylene Spunbonded Non-Wovens Using Image Processing and its Relationship With Their Tensile Properties

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