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Morphological analysis of polymer systems with broad particle size distribution
Institution:1. College of Chemical Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China;2. College of Civil Engineering, Guangzhou University, Guangzhou 510006, China;3. Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;4. Department of Fiber Science and Apparel Design, Cornell University, Ithaca, NY, USA;5. Department of Applied Physics and Materials Research Centre, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;1. Laboratory of Dielectric Polymer Materials and Devices, Department of Polymer Science and Engineering, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, PR China;2. Université de Lorraine – CNRS, Laboratoire Réactions et Génie des Procédés, UMR 7274, ENSIC, 1 rue Grandville, BP 20451, Nancy F-54000, France;2. Department of Radiation Oncology, Acibadem University, Istanbul, Turkey;3. Institute of Biomedical Engineering, Bogazici University Istanbul, Turkey;4. Istanbul University, Institute of Oncology, Istanbul, Turkey
Abstract:This contribution is focused on precise determination of particle size distribution in polymer blends with complex morphology by means of our new program called MDISTR. Standard determination of the particle size distribution is usually achieved by measurement of particle sizes in (a single set of) electron micrographs. We show why this method fails for two frequent cases: (i) blends with very broad particle size distribution and (ii) blends that are composed of domains with different particle sizes. On real-life examples, we demonstrate that program MDISTR yields accurate particle size distributions in both the above-mentioned cases, while the standard image analysis gives average particle sizes differing by >100 % from the correct result. We describe MDISTR calculations which are based on a linear combination of standard particle size distributions from two (or more) sets of micrographs with different magnifications, different locations within the sample and precisely defined statistical weights.
Keywords:Polymer blends  Morphology  Image analysis  Broad particle size distributions
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