Abstract In the present study, a feed-forward dense multilayer artificial neural network (ANN) trained with backpropagation algorithm (BP) is used to determine kinetic parameters governing performance of oil-drilling cuttings (ODC) ozonation. Ozonation tests ODC, pre-treated surfactant (SDS) and diluted synthetic seawater, are conducted on semi-batch bubble flow reactor. The ozonation experimen...

The oil and gas sector has recently shown an interest in hydrodynamic cavitation for enhancement, as it allows reducing transportation refinement costs. This work presents a fluid-dynamic study of Colombian at different temperatures passing through vortex reactor. First, experimental design was elaborated, establishing the temperature quantity injected hydrogen donor factors final viscosity res...

Abstract Effects of the weld microstructure and inclusions on brittle fracture initiation are investigated in a thermally aged ferritic high-nickel reactor pressure vessel head from decommissioned nuclear power plant. As-welded reheated regions mainly consist acicular polygonal ferrite, respectively. Fractographic examination Charpy V-notch impact toughness specimens reveals large (0.5–2.5 µm) ...

the steps taken in designing a loop reactor for bulk propylene polymerization are discussed. the roles played by several parameters like particle growth factor, catalyst activity and solid fraction on reactor volume at different operating conditions are investigated. at first, based on a fixed production capacity and specific rate of catalyst, reactor volume is determined. next, the length and ...

This study uses the Eulerian-Lagrangian multiphase particle-in-cell (MP-PIC) approach, adopted in computational particle fluid dynamics (CPFD) code, Barracuda Virtual Reactor®, to simulate injection of a gas–liquid spray into gas–solid fluidized bed. The model accounts for evaporation volatile liquid form individually moving droplets and thin films distributed on surface solid bed particles. Co...

High-speed liquid jets and sprays are complex multiphase flow phenomena with many important industrial applications. Great efforts have been devoted to understand their dynamics since the pioneering work of Rayleigh on low-speed jets. Attempts to use conventional laser optical techniques to provide information about the internal structure of high-speed jets have been unsuccessful owing to the m...

The possibility to obtain multiphase steels with considerable fractions of retained austenite, which is of key interest for the occurrence of the TRIP effect, is investigated in steels with low amounts of Si and Al. Special emphasis is dedicated to the microstructural observation of this phase, since its volume fraction, distribution and stability, related to the carbon content, will determine ...

Purpose: of this paper is the effect of the soft annealing of initial microstructure of the 6Mn16 steel on the kinetics of the austenite formation during next intercritical annealing. Design/methodology/approach: Analytical TEM point analysis with EDAX system attached to Philips CM20 was used to evaluate the concentration of Mn, Ni and Cr in the microstructure constituents of the multiphase ste...

Hydrogenation of various types of oleochemicals is a major unit operation in industry. Natural fatty alcohols are important raw materials for surfactants and lubricants and can be produced by catalytic hydrogenation of fatty acid methyl esters (FAME). Commercial multiphase processes are necessarily operated at high pressures and high hydrogen-to-ester mole ration owing to low solubility of hydr...

This study uses the Eulerian-Lagrangian multiphase particle-in-cell (MP-PIC) approach, adopted in computational particle fluid dynamics (CPFD) code, Barracuda VR®, to simulate a cold-flow dual-circulating fluidized bed. The hydrodynamics is simulated using novel segregated which experimental solids circulation rate specified as an input parameter. CPFD predictions of pressures and concentration...