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Mostafa Yourdkhani

Researcher at University of Illinois at Urbana–Champaign

Publications -  32
Citations -  833

Mostafa Yourdkhani is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Thermosetting polymer & Curing (chemistry). The author has an hindex of 12, co-authored 21 publications receiving 475 citations. Previous affiliations of Mostafa Yourdkhani include McGill University & Colorado State University.

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Rapid energy-efficient manufacturing of polymers and composites via frontal polymerization

TL;DR: Frontal polymerization of dicyclopentadiene is used to generate thermoset polymers and composite materials with much lower energy requirements and cure times than are needed in conventional oven or autoclave curing approaches.
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Vibrations and stability of axially traveling laminated beams

TL;DR: Vibration and stability of an axially traveling laminated composite beam are investigated analytically via the method of multiple scales and the effects of laminate type and configuration as well as the mean speed and amplitude of speed fluctuations on the vibration response, natural frequencies and stability boundaries of the system are considered.
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Thermal, oxygen barrier and mechanical properties of polylactide–organoclay nanocomposites

TL;DR: In this paper, two different clay concentrations (2 and 4 ¾wt.%) were considered and the morphology of the resulting nanocomposites was observed by TEM micrographs while the interaction between polymer and clay was measured by FTIR analysis and contact angle measurements.
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Fully Recyclable Metastable Polymers and Composites

TL;DR: Fully-cycled depolymerization of cyclic poly(phthalaldehyde) (cPPA) yielding high performance structural polymer is demonstrated in this article, which circumvent the extreme conditions required to break down and recycle traditional thermoplastics and thermosets.
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Quantitative dispersion analysis of inclusions in polymer composites.

TL;DR: A quantitative algorithm is introduced for analyzing the dispersion of inclusions in polymer composites using image analysis and optical micrographs were utilized to examine the sensitivity of the algorithm to various dispersity scenarios such as the effect of particle size, clustering, and cluster distribution.