scispace - formally typeset
Search or ask a question

Showing papers by "Carlo Saverio Iorio published in 2017"


Journal ArticleDOI
TL;DR: In this paper, the splat morphology after the impact of suspension drops on hydrophilic (glass) and hydrophobic (polycarbonate) substrates was investigated by side, bottom and angled view images.

15 citations


Journal ArticleDOI
TL;DR: In this article, a balance of forces acting on the condensate flow is analyzed and the fin surface is divided in seven areas, each one being characterized by the main force acting on liquid motion: gravitational vs surface-tension pressure gradient.

10 citations



Journal ArticleDOI
TL;DR: In this article, the effect of the number of droplets, evaporated on the same deposition spot, on the self-assembly density is assessed to be more than proportional for the first five depositions.
Abstract: Carbon nanotubes are allowed to self-assemble by depositing a droplet of a water dispersion thereof and letting it evaporate on a polycarbonate substrate. The effect of the number of droplets, evaporated on the same deposition spot, on the self-assembly density is assessed to be more than proportional for the first five depositions. The obtained nanoporous nanostructures are further tested for their electrical resistance and wettability. Two concentrations are used. It is found that a higher concentration and more importantly a higher number of droplet depositions causes the electrical resistance to decrease up to four orders of magnitude and the static contact angle to decrease more than three times. The contact angle hysteresis also increases due to an increasing advancing contact angle and a decreasing receding one. This is explained by the degree of coverage of the substrate by the carbon nanotubes as is also shown by scanning electron microscope images. A better coverage is suggested to cause more pinning for an advancing droplet and a higher capillary force for a receding droplet.

2 citations


Proceedings ArticleDOI
01 Jun 2017
TL;DR: In this article, a model of vapour condensation on the cylindrical fin is developed based on the approaches described in [4] and [2], which provides the same number of the segments as in the experiments.
Abstract: Extended Abstract Many efforts can be found in the literature focusing on the investigation of condensation on the outside of horizontal finned tubes. Comprehensive overview can be found in the book of Rifert and Smirnov [1]. Three classes of prediction models exist based on various approaches: semi-empirical, numerical and surface segmentation. A third class is very adaptive to any fin shape that makes it very attractive. The modelling is based on the subdividing of the condensation surface into areas depending on the acting force: surface-tension pressure gradient vs gravity. Adamek and Webb [2] have fully formulated this method. It was successfully applied by other authors [3, 4] However, the calculation results are very sensitive to the segmentation algorithm. Such variety of different modeling ways and various calculation algorithms are the result of the lack of any reliable information about condensate flow on the fin. Recently, Glushchuk et al. [5] presented the experimental investigation of vapour condensation on single cylindrical fin under various gravity conditions: 1g0, 1.8g0 and 0.05g0. A thickness of the condensate film was measured with micron accuracy. Curvature analysis of the condensate free surface revealed seven areas, each one being characterized by the main force acting on the liquid motion: gravitational vs surface-tension pressure gradient. The goal of the present work is quantitative comparison of the segmentation method of the modelling and the experimental data reported in [5]. The model of vapour condensation on the cylindrical fin is developed basing on the approaches described in [4] and [2]. It provides the same number of the segments as in the experiments. Analysis of the calculation results reveals that the model shows smaller regions having strong effect of surface-tension pressure gradient. The most intensive vapour condensation takes place in these regions and the underrating of their sizes can affect negatively on the heat transfer prediction. As a result, the simulation gives under-predicted value of the overall heat transfer coefficient in comparison with measured one.