Towards the development of poly (phenylene sulphide) based nanocomposites with enhanced mechanical, electrical and tribological properties

Novel poly(phenylene sulphide) (PPS) nanocomposites reinforced with an aminated derivative (PPS-NH2) covalently attached to acid-treated single-walled carbon nanotubes (SWCNTs) were prepared via simple melt-blending technique. Their morphology, viscoelastic behaviour, electrical conductivity, mechanical and tribological properties were investigated. Scanning electron microscopy revealed that the grafting process was effective in uniformly dispersing the SWCNTs within the matrix. The storage and loss moduli as a function of frequency increased with the SWCNT content, tending to a plateau in the low-frequency regime. The electrical conductivity of the nanocomposites was considerably enhanced in the range 0.1?0.5 wt% SWCNTs; electrical and rheological percolation thresholds occurred at similar nanotube concentrations. Mechanical tests demonstrated that with only 1.0 wt% SWCNTs the Young's modulus and tensile strength of the matrix improved by 51 and 37%, respectively, without decrement in toughness, ascribed to a very efficient load transfer. A moderate decrease in the friction coefficient and a 75% reduction in wear rate were found for the abovementioned nanotube loading, indicating that PPS-NH2-g-SWCNTs are good tribological additives for thermoplastic polymers. Based on the promising results obtained in this work, it is expected that these nanofillers will be used to develop high-performance thermoplastic/CNT nanocomposites for structural applications.

Percolation in soils at Different Bulk Densities: Porosity, Connectivity and Grey Threshold.

To improve percolation modelling on soils the geometrical properties of the pore space must be understood; this includes porosity, particle and pore size distribution and connectivity of the pores. A study was conducted with a soil at different bulk densities based on 3D grey images acquired by X-ray computed tomography. The objective was to analyze the effect in percolation of aspects of pore network geometry and discuss the influence of the grey threshold applied to the images. A model based on random walk algorithms was applied to the images, combining five bulk densities with up to six threshold values per density. This allowed for a dynamical perspective of soil structure in relation to water transport through the inclusion of percolation speed in the analyses. To evaluate separately connectivity and isolate the effect of the grey threshold, a critical value of 35% of porosity was selected for every density. This value was the smallest at which total-percolation walks appeared for the all images of the same porosity and may represent a situation of percolation comparable among bulks densities. This criterion avoided an arbitrary decision in grey thresholds. Besides, a random matrix simulation at 35% of porosity with real images was used to test the existence of pore connectivity as a consequence of a non-random soil structure.

Topology of a percolating soil pore network.

A connectivity function defined by the 3D-Euler number, is a topological indicator and can be related to hydraulic properties (Vogel and Roth, 2001). This study aims to develop connectivity Euler indexes as indicators of the ability of soils for fluid percolation. The starting point was a 3D grey image acquired by X-ray computed tomography of a soil at bulk density of 1.2 mg cm-3. This image was used in the simulation of 40000 particles following a directed random walk algorithms with 7 binarization thresholds. These data consisted of 7 files containing the simulated end points of the 40000 random walks, obtained in Ruiz-Ramos et al. (2010). MATLAB software was used for computing the frequency matrix of the number of particles arriving at every end point of the random walks and their 3D representation.

Water stress thresholds for regulated deficit irrigation in pistachio trees

The response of "Kerman" pistachio trees budded on three different rootstocks (Pistacia terebinthus, Pista-cia atlantica and Pistacia integerrima) to regulated deficit irrigation (RDI) in shallow soils was studied for3 years. The trees were either fully irrigated (C treatment) or subjected to deficit irrigation during Stage IIof fruit growth with two water stress thresholds (T1 and T2). The irrigation scheduling for fully-irrigatedtrees and water-stressed trees was managed by means of midday stem water potential (?stem) measure-ments. The use of direct measurements of the water status allowed estimating accurately the irrigationrequirements for pistachio trees, with water reductions ranging from 46 to 205 mm in fully-irrigatedtrees. The combination of the ?stemuse and the RDI regime saved 43?70% in T1 and 48?73% in T2 ofwater compared to the calculated crop evapotranspiration (ETc) for fully irrigated treatment (C).Deficit irrigation during Stage II significantly reduced the vegetative growth of the trees. Yield and fruitquality were not affected by any irrigation regime, except during the first year of the study. Thus, theresults indicate that full irrigation scheduling and RDI can be achieved successfully using ?stemtool onpistachio trees growing in shallow soils. A ?stemthreshold of ?1.5 MPa during stage II (T1) was suggestedfor RDI scheduling, as it did not reduce the yield or the production value. However a ?stemthresholdof ?2.0 MPa (T2) resulted in a significant reduction and an extensive delay in the recovery of stomatalconductance (gl),with negative effects on long-term pistachio production.P. integerrima showed a weaker capacity of adaptation to the study conditions compared to P. atlanticaand P. terebinthus, having a tendency to get more stressed and to produce a lower quality crop.