Consideration about lateritic mineral pneumatic conveying in dense phase


Abstract:

In the nickel companies, the pneumatic conveying has been limited by the excessive energy expense that reaches the 18, 82 MJ/T. The causes that originate this difficulty are: the incorrect selection of the gas transporter speed, the existence of the feeders numberless and the infinite variety of physical and aerodynamic characteristics of the materials to transport that lead to the inaccuracy of the pneumatic conveying projects. Starting from the existent knowledge for the solids pneumatic transport in flowed and dense phases a descriptive theoretical model is deduced whose parameters (difference of speed between the gas and the solid and flotation speed) are obtained with data of an experimental installation. To obtain the parameters of the pattern is used the method of solution differential equations Runge - Kutta fourth order, like part of a procedure iterative that it leads to the minimization of the average error module between the experimental values and the predicted for the pattern. With the employment of the pattern it is simulated the dependence of the pressure losses, the solid flow and the concentration of the mixture in function of the gas flow of the lateritic mineral pneumatic transport systems. The reduction of the losses pressure with the increment of the speed fluid is confirmed in values less than 6,12 m/s in the horizontal transport and 5,21 m/s in the vertical one. The transport in continuous dense phase extends until the 18 m/s in both cases.

Año de publicación:

2015

Keywords:

  • Flowed and dense phases
  • mathematical model
  • Pneumatic conveying

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Ingeniería mecánica
  • Ingeniería química
  • Energía

Áreas temáticas de Dewey:

  • Física aplicada
  • Minería y operaciones afines
  • Ingeniería química
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

    Procesado con IAProcesado con IA