Analyze of the viscoelastic closures parameters in turbulent models for FENE-P fluids

• Grant number: 13/17777-8
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2013
• End date: December 31, 2015
• Field of knowledge: Engineering - Mechanical Engineering - Transport Phenomena
• Principal Investigator: Pedro Miguel Rebelo Resende
• Grantee: Gustavo Corazza Faijon
• Host Institution: Instituto de Ciência e Tecnologia. Universidade Estadual Paulista (UNESP). Campus de Sorocaba. Sorocaba , SP, Brazil

Abstract

The reduction of drag in turbulent flow of polymeric solutions was discovered by Toms' in 1949. Subsequently heat transfer was also observed to decrease substantially, allowing significant cost reductions in thermal energy transport in flows. The viscoelastic fluids are present in many industrial processes and under turbulent conditions. And the advantage of the drag reduction phenomenon by using this type of fluids can be observed in fluid transport at long distances and in heat and refrigeration systems, such as in district heating systems. Other type of application is the injection of polymeric solutions, in the porous media, for high petroleum recuperation. Therefore, it is necessary to develop adequate turbulence models that can be used to solve engineering problems. Actually there are models that can accuracy predict relevant quantities, like for example Resende et al. [1-5], but they only were tested in simple geometries like channel and pipe turbulent flows. Therefore it is necessary, at short time, to expand this viscoelastic models to complex geometries, such as recirculation turbulent flows with viscoelastic fluids with different degree of drag reduction. Which will allow to simulate different types of engineering projects. This can be done by substituting, for example, the typical distance to a wall with local turbulent parameters. For this reason, in the present work the viscoelastic closures parameters developed for generalized viscoelastic turbulent models, using the FENE-P model, are analyzed, by comparing the simulations with the DNS and experimental data.