The Mean-Square Deviation (MSD) of pressure drop fluctuation signal in stratified flow is small,and it is hardly influenced by the flow rate of liquid and gas and liquid hold-up.

The MSD of pressure drop fluctuation signal in slug flow is the biggest and is greatly influenced by the flow rate of liquid and gas and liquid hold-up, the MSD will be increased as hold-up and the flow rate of gas increase.

The MSD of pressure drop fluctuation signal in annular flow is between the two patterns mentioned above,and it is little changed with the flow rate of gas,but is greatly influenced by the flow rate of liquid. The MSD will be increased as hold-up and the flow rate of liquid increase.

The uniformity of fluidization was assessed by the frequency of the fluctuation of capacitance(f_c), the mean amplitudes of pressure drop fluctuations (ΔP_f), and the maximum pressure drop fluctuation (ΔP_m). The factors and rules affecting fluidization uniformity for the particles of types of A, B and C Were obtained.

At low flow rate, flow patterns were directly recognized by optical observation, at high flow rate, by a combination of camera and pressure/pressure drop fluctuation.

Experimental results of pressure drop, pressure drop fluctuation bed expansion and RTD of gas show that the behavior of fluidization varies with changing gas velocity.

Investigations of local pressure drop fluctuation signals in annular type fluidized bed photoreactor by continuous wavelet trans

The flow behavior determined from the pressure drop fluctuation in the lower and upper section of the bed was analyzed with statistical methods.

The characteristics of pressure drop fluctuation in a 5.0 cm I.D.×250cm high circulating fluidized bed with fine polymer particles of PE and PVC were investigated.

An analysis of pressure drop fluctuation in a circulating fluidized bed

The amplitude of pressure drop fluctuation in the connection channel is well correlated with that of the kinetic energy for natural circulation rate.

In this paper, the influences of the size and size distribution of particles on fluidization quality were investigated in a φ100mm bed for more than twenty systems consisted of sand, activated carbon, alumina and FCC particles by using nitrogen as the fluidization gas. Both the variation of the capacitance at local point and the fluctuation of pressure drop across the bed were continuously measured by a capacitance probe and a strain gauge. The uniformity of fluidization was assessed by the...

In this paper, the influences of the size and size distribution of particles on fluidization quality were investigated in a φ100mm bed for more than twenty systems consisted of sand, activated carbon, alumina and FCC particles by using nitrogen as the fluidization gas. Both the variation of the capacitance at local point and the fluctuation of pressure drop across the bed were continuously measured by a capacitance probe and a strain gauge. The uniformity of fluidization was assessed by the frequency of the fluctuation of capacitance(f_c), the mean amplitudes of pressure drop fluctuations (ΔP_f), and the maximum pressure drop fluctuation (ΔP_m). The factors and rules affecting fluidization uniformity for the particles of types of A, B and C Were obtained.

The characteristics of a 60 mm I. D. fluidized bed with baffles are studied using particles belonging to group B in Geldart's classifcation. Experimental results of pressure drop, pressure drop fluctuation bed expansion and RTD of gas show that the behavior of fluidization varies with changing gas velocity. Apparently it can be devided into two regions, i. e. bubbling and turbulent regions. It is suggested that a critical point exists between the bubbling and the turbulent regions, this point may be referred...

The characteristics of a 60 mm I. D. fluidized bed with baffles are studied using particles belonging to group B in Geldart's classifcation. Experimental results of pressure drop, pressure drop fluctuation bed expansion and RTD of gas show that the behavior of fluidization varies with changing gas velocity. Apparently it can be devided into two regions, i. e. bubbling and turbulent regions. It is suggested that a critical point exists between the bubbling and the turbulent regions, this point may be referred to as the critical turbulent fluidized point. The critical turbulent fluidization velocity un corresponding to this point can be expressed by the following equation:

The boundary of trickling-to-pulsing flow transition in trickle-bed reac- tors may be determined either by statistical feafures of the probability density function and standard deviation of pressure drop fluctuation or by sudden change in liquid-solid mass transfer coefficients, which are different from commonly used methods. Experimental results indicate that both methods are precise and reliable approaches for identification of flow pat- tern transition.