0000000000350120
AUTHOR
Roberto Fucarino
Graphene oxide-silica nanohybrids as fillers for PA6 based nanocomposites
Graphene oxide (GO) was prepared by oxidation of graphite flakes by a mixture of H2SO4/H3PO4 and KMnO4 based on Marcano's method. Two different masterbatches containing GO (33.3%) and polyamide-6 (PA6) (66.7%) were prepared both via solvent casting in formic acid and by melt mixing in a mini-extruder (Haake). The two masterbatches were then used to prepare PA6-based nanocomposites with a content of 2% in GO. For comparison, a nanocomposite by direct mixing of PA6 and GO (2%) and PA6/graphite nanocomposites were prepared, too. The oxidation of graphite into GO was assessed by X-ray diffraction (XRD), Micro-Raman spectroscopy, scanning electron microscopy (SEM), X-ray photoelectron spectrosco…
A novel approach to prevent graphene oxide re-aggregation during the melt compounding with polymers
Abstract The technology for the preparation of polymer-GO nanocomposites was investigated by studying the structure-properties relationships of two different systems, based on PA6 and EVA, fabricated by using different preparation methods, i.e. melt mixing, wet phase inversion, and the combination of the two. The morphology of nanocomposites resulted dramatically influenced by the technique adopted and showed to be the critical variable affecting the physical properties of the materials. Finally, the mechanical and dynamic-mechanical of the nanocomposites were improved by using the hybrid technique combining the two procedures.
Fair Transfer Prices of Global Supply Chains in the Process Industry
This work addresses the optimisation of transfer prices for the fair profit distribution among the members involved in a global supply chain in the process industry. A mixed integer linear programming (MILP) model is developed for production and distribution planning of global supply chains, where the optimal transfer prices of products between plants and markets are determined. Two solution approaches are presented for fair solutions using Nash and lexicographic maximin principles. The applicability of the proposed models and approaches are demonstrated by an illustrative example. The results show that both approaches can fairly distribute the whole supply chain’s profit to the members.