In this study prediction of the steady-state flow of branched polymer melts in pipe geometry with finite volume method is presented. Our analysis in this study revealed that; for normal-stress tqq , the XPP model can predict this tensor unlike the other viscoelastic models such as PTT or Gieskus which can not predict t qq for viscoelastic fluid in two dimensional pipe flows. The fluid is modelled using a modification of the POM-POM model known as the single eXtended POM-POM (XPP) where viscoelastic fluid is typically a commercial low-density polyethylene. In finite volume method, the operator-integration is used to discretize the governing equations in space or control volume. An iterative solution algorithm that decouples the computation of momentum from that of stress is used to solve the discrete equations. Numerical results are presented, including the profiles of all relevant stresses, the axial velocity, stretch and the viscosity across the gap, demonstrating the performance of the model predictions. The influence of elasticity parameter on flow behaviour is studied, which demonstrates in particular, the dependence of velocity and stresses distribution as a function of Weissenberg number is analyzed. Also, the effect of Weissenberg number on pressure gradient has been considered. Finally, verification of the present model was made by comparing to the Generalized Newtonian Fluid (GNF) model.

In this note by considering a complete lattice L, we define the notion of an L-Fuzzy hyperrelation on a given non-empty set X. Then we define the concepts of (POM)_L-Fuzzy graph, hypergraph and subhypergroup and then obtain some related results. In particular we construct the categories of the above mentioned notions, and then give a (full and faithful) functor form the category of (POM)_L-Fuzzy subhypergroups ((POM)_L-Fuzzy graphs) into the category of (POM)_L-Fuzzy hypergraphs. Also we show that for each finite objects in the category of (POM)_L-Fuzzy graphs, the coproduct exists, and under a suitable condition the product exists too.

There are many effective chemotherapeutic agents used in influenza disease which some of them inhibit virus replication by interfering with FluV (influenza virus) viral binding or its penetration into cell membrane. A series of polyoxometalates compounds such as POM-523 and PM-504 have been synthesized and have showed inhibitory effects on viruses. In this study we examined anti influenza activity of a novel polyoxometalate derivative (POM-4960) synthesized in the Faculty of Chemistry of Damghan University of Basic Sciences. To evaluate the anti-influenza activity of POM, following the treatment of FluV with POM at different temperatures and incubation periods, viral titer reduction was assessed by haemaglutination assay (HA). The 3- (4, 5- dimethylthiazol-2-yl) -2, 5-diphenyltetrazolium bromide (MTT) assay was used to determine TCID50 (tissue culture infective dose) of virus, CC50 (median cytotoxic concentration) of POM, protection percentage and antiviral activity of POM in cell culture. RT-PCR and direct Immunofluorescent assays were performed to evaluate the effect of POM on viral infection and viral RNA load, respectively.POM reduced HA titer near to zero in all cell culture specimens and showed high protection against viral infection of the cells. Reduction in viral infection was confirmed by RT-PCR and Immunofluorescent staining methods. Moreover, this POM derivative has a dual (cumulative) effect on attachment and penetration inhibition compared to other POM’s with just one inhibitory effect. POM-4960 could be considered as a powerful antiinfluenza agent with low toxicity and high antiviral potency.

In this study, a spray approach is applied to produce POM/graphene nano composite using a hot press mold and an automatic spray. The layer-by-layer spray method is used to fabricate these composites with different Wt. %of graphene particles, spray pressure, nozzle-to-mold distance at different temperatures. Taguchi approach as a popular method for Designing of Experiments (DOE) was used for statistical control of the parameters influenced by the synthesis process. The main idea in the present study was to determine the optimal characteristics by investigation of interaction effects in the manufacturing of POM/graphene nano composite. Thus, the optimal values obtained were 180oCfor the mold temperature, 0.55mfor the nozzle-to-mold distance and 3*105Pa for the spray pressure. Finally, the experimental procedure done, showed that in samples fabricated by 1.8 Wt. % of graphene, the fracture strain decreased about 30% and the UTS and elastic modulus improved 40%and 60%, respectively.