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 CHEMICAL ENGINEERING TRANSACTIONS  
 

VOL. 65, 2018 

A publication of 

 
The Italian Association 

of Chemical Engineering 
Online at www.aidic.it/cet 

Guest Editors: Eliseo Ranzi, Mario Costa 
Copyright © 2018, AIDIC Servizi S.r.l. 
ISBN 978-88-95608-62-4; ISSN 2283-9216 

Elutriation and Sedimentation Process for the 
Characterization of Sugarcane Bagasse and Straw 

Deyber A. Ramirez-Quintero*, Waldir A. Bizzo  
University of Campinas, School of Mechanical Engineering, R. Mendeleyev, 200, 13083-960, Campinas, SP, Brazil 
deyber@fem.unicamp.br  

In gas-solid interaction, particle characteristics such as shape, size and density, interacting simultaneously, 
have a strong influence on the terminal velocity. The behaviour of fluid-dynamics systems acquires great 
uncertainty when the bed is composed by irregular particles, such as biomasses. Biomass, usually with a wide 
particle size distribution, is characterized by analyses that do not consider the irregular shape of the particles. 
Thus, these parameters are introduced in the different theoretical correlations, empirical or combinations of 
both to represent the biomass behaviour. However, the results obtained in the modelling are generally not 
satisfactory, because they provide results with considerable deviations. This work aims to compare the drag 
velocity measured experimentally in biomass (bagasse and straw) with the estimates found through 
correlations for the determination of the terminal velocity of spherical and non-spherical particles and sieving 
opening. It was developed appropriated and flexible system to this separation, the superficial air velocity can 
be regulated to the expected conditions. The material was separated at different air velocities and analysed by 
known methods for material characterization. The use of elutriation and sedimentation could contribute to the 
understanding the granulometric and morphological separation of biomass, obtaining separate fractions with 
homogeneity of size and shape in each fraction obtained, which are not satisfactorily predicted by the 
correlations used for the design of the fluidized systems for energy generation from biomasses. 

1. Introduction 

The aim to optimize the process of combustion, pyrolysis and gasification of biomass for energy generation, 
reduce its impact on the environment and make these more attractive economically, requires a better 
understanding of the influence of shape, size and density on fluid dynamics processes (Kunni, Levenspiel, 
1991; Yang, 2003; Nikky et al. 2014). Given the diversity of biomass, it is difficult to characterize them in a 
general way through correlations or mathematical models. However, different configurations of fluidized bed 
reactors are being used in several processes, the biomass particles are mixtures and used in different 
proportions to obtain their greatest potential. 
In the 1970s, the world faced an economic and geopolitical crisis that gave a first hit to the growing, and even 
unconscionable, energy consumption, therefore one of its main resources, fossil fuels. In the faced with the 
possibility of the oil depletion, increase in the price of a barrel of oil and the need to use clean and renewable 
energy, some dependent countries on the importation of this fuel sought energy alternatives. In Brazil, a boost 
was given to the path of energy generation using sugarcane with the creation of the National Alcohol Program 
(PROALCOOL), 1975, which received a certain reception by the increase of distilleries and the 
commercialization of cars fuelled by ethanol (Coelho-Carvalho et al, 2013). Thus, bagasse and straw left over 
from the sugarcane mill were considered as waste and, like any residue, it was necessary to discard them. 
The burning of these "residues" for the generation of steam to produce electricity was an alternative that 
appeared to give a solution to the problem of waste treatment and the creation of new energy resources. 
Currently, only bagasse is used as fuel in boilers to produce steam for process and electricity generation. 
Some mills add sugarcane straw to bagasse, no more than 15 % in weight, but reliable data about this is not 
available. Until a few years ago, the leaves of sugarcane were burned directly on the plant, before the harvest, 
in order to facilitate manual harvest. Due to the environment impact that the pre-burning caused, this practice 
was banned and is being replacing by mechanized harvesting. Sugarcane straw (green and dry leaves and 

607

                               
 
 

 

 
   

                                                  
DOI: 10.3303/CET1865102

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Please cite this article as: Ramirez Quintero D., Bizzo W., 2018, Elutriation and sedimentation process for the characterization of sugarcane 
bagasse and straw, Chemical Engineering Transactions, 65, 607-612  DOI: 10.3303/CET1865102 



tops) is left on the field after mechanized harvesting. The collecting methods for sugarcane straw still are 
being studied and developed, but sugarcane straw is already available through mechanized harvesting and 
the energy contained in this by-product is roughly of some order of magnitude as the bagasse and the ethanol 
produced (Carvalho, Veiga and Bizzo, 2017) 
Bagasse and straw by-product of sugarcane also have great potential as a raw material for the production of 
fuels derived from processes such as gasification, pyrolysis or hydrolysis followed by fermentation. For the 
development of these technologies, detailed knowledge of the physical and chemical characteristics of 
sugarcane bagasse and straw is necessary (Barbosa-Cortez, Silva-Lora, Olivares-Gomez, 2008; Rendeiro et 
al, 2008). 
The use of software in measuring the particles physical characteristics usually requires advanced language 
programing such as Visual C,Visual Basicand Matlab with specialized image processing toolboxes 
(Igathinathane et al, 2008). The plugins developed for the ImageJ program become a striking option for 
particle size measurement. ImageJ is a public domain Java processing program, freely available, open 
source, platform independent and analysis program developed at the National Institutes of Health (NIH) 
(Bailer, 2006). 
The particles entrainment in fluidized bed can be considered as a predictable consequence in fluidized beds 
(Colakyan, Levenspiel, 1984; Kunni, Levenspiel, 1991), this 'lost material’ can be utilized not only to create 
techniques, also to optimize combustion, gasification and pyrolysis processes (Yang, 2003). 
Haider and Levenspiel (1989), from a revision of the existing correlations until that moment to calculate the 
terminal velocity of the falling particles, , Eq(1), proposed a dimensionless particle diameter, *, (Eq(2)) and 
a dimensionless terminal velocity, *, to spherical particles, Eq(3) and non-spherical, Eq(4) 
= * ⁄    (1) 

* = ⁄    (2) 
* = * + . * ,    (3) 
* = * + . . ∅* , 0,5 ≤ ∅ ≤ 1   (4) 

Where  denote the equivalent spherical diameter,  is the acceleration due to gravity,  denote the 
viscosity of fluid,  and  are density of particle and density of fluid, respectively; and ∅ is particle sphericity. 
According to Anderson (1988), Grobart (1973) presented an extensive study on the air entrainment velocity of 
sugarcane bagasse in various sizes and moisture content (0-48% wb) and developed an equation to calculate 
the pneumatic entrainment velocity of bagasse, Eq(5). = 0.115 + 0.819 − 0.0517 + 0.00293 + 0.00116    (5) 
Where,  denote the entrainment velocity (m/s),  is the maximum sieve aperture (mm),  denote the 
moisture content. 
Aiming to present an introduction of bagasse dryers connected to the energy recovery system of the boilers 
operating with exhaust gases, Sosa-Arnao and Nebra (2009) proposed an optimized low cost design for 
energy recovery configurations to be applied in boilers of water pipes, having as heating fluid the boiler 
exhaust gas itself. They obtained Eq(6) to determine the terminal velocity of the particle, . = 31.699 .    (6) 
Where  is the mean particle diameter. 
Nikky et al. (2014) describes a characterization method of an average drag force between gas and different 
regular and irregular particles, they performed an experimental investigation with a fluidization characterization 
test device and presented that the shape and size of the particles have an important effect on the fluidization 
behavior of the particles by the drag force.  
The aim of this work is to aerodynamically characterize the sugarcane bagasse and straw obtained from a 
sugar mill and compare it with the traditional method of characterization, sieving, to determine the drag 
velocity. 

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2. Experimental study 

The collection of bagasse and straw was carried out from sugarcane mill, located in São Paulo State. The 
material was dried in the sun for one week to equilibrate moisture to the environment, samples were taken for 
the experiments. For the measurement of each measured quantity (including separation) three tests were 
made, the value presented is the average value. The characterization of the basic properties (density, 
humidity, equivalent spherical diameter and sphericity) of the previous biomass was carried out in order to 
estimate the terminal velocity of the particles. The separation experiments by elutriation were executed in the 
SESY -sedimentation elutriator separator system, illustrated in Figure 1. SESY is composed of a tube riser (R) 
with a glass section for visual inspection of the fluid dynamic behavior, internal diameter of 0.1 m and 1.8 m in 
height. The riser is followed by a U-bend downward to end in a sedimentation chamber (SC). Air suction is 
performed by an air exhaustor (AE). A filter is placed between the sedimentation chamber and the air 
connection to avoid the output of the material. Air velocity was controlled by valve (V). The material to be 
separated by elutriation is spread in the vibrating feeder system (VS) to dose the biomass into the riser. The 
dragged material is collected in the sedimentation chamber and the sedimented material is collected at the 
bottom of the riser to be feed in the vibrating system at the next speed. The air flow rate was measured with 
an orifice plate system (OP) constructed in accordance with ASME MFC-14M/2003 standard and pressure 
was measured with Smar LD301 transducers (P). The air temperature of the system was measured to 
determine the air density. The device is able of producing superficial air velocities between 0.5 and 6.5 m/s. 
Using atmospheric air at ambient pressure and temperature as the working fluid, an airflow was generated in 
the riser at different velocities, where biomass particles were feed in the airflow. The feeding of the particles 
was done continuously and in small quantities, preventing a large amount from being simultaneously arranged 
in the riser, in order to minimize the agglomeration of particles. 
The density of biomass samples was measured with water pycnometry. The Sauter diameter was calculated 
based on weight fraction of the separated material by sieving. The projected area of the particles was obtained 
by image scanning. The ImageJ program was used to measure this dimensions, as well as major and minor 
axis length for the calculation of sphericity, Eq(7), based on Wadell’s original definition. These dimensions are 
described by Baxes (1994).  ∅ =    (7) 
Where  is the surface area of a sphere of the same volume as the particle, and  is the actual 
surface area of the particle. 

 

Figure 1: Experimental bench SESY. Air exhaustor (AE), elutriated material collector (Ce), sedimentary 
material collector (Cs), pressure gauge (P), riser (R), sedimentation chamber (SC), temperature gauge (T), 
valve (V) and vibratory feed system (VS). 

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The bagasse was separated with velocities of 0.65 to 6.53 m/s and straw at 0.65 to 5.50 m/s. For the terminal 
velocities predicted by correlations the size distribution obtained by sieving was used. Three correlations were 
used: the equation presented by Grobart (1973) and the correlations of Haider and Levenspiel (1989) for 
spherical and non-spherical particles. 

3. Results and analysis 

Figure 2 shows the results of the preliminary sieving for bagasse and straw. From Figure 2, it can be seen that 
the biomass is concentrated in the larger sieves (51% for bagasse and 32% for straw). The biomass 
properties are presented in Table 1. 

Table 1: Biomass sample properties. 

Biomass 
Density 
(kg/m³) 

Sauter mean diameter 
(µm) 

Φ 
W 

(%) 

Bagasse 617 ± 174 684 ± 50 0.67 5 % 
Straw 333 ± 82 1036 ± 118 0.76 3 % 

 

Figure 2: Sieving analysis on particle size distribution. 

 

Figure 3: Sieving analysis on particle size distribution 

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Due to velocity limitations of the measuring system, it was able to separate by elutriation 98% of the bagasse 
and 97% of the straw. Figure 3 shows the accumulated mass distribution for both bagasse and straw for 
separation, by elutriation and sieving. Clearly, Figure 3 presents that due to the higher concentration of 
bagasse particles in the sieves with higher mesh opening, it need higher velocity than the straw to be dragged. 
From Figure 3, we notice that the behavior of particles separated by elutriation and the particles separated by 
sieving is very different, showing the influence of the irregular shape and size of particles. 
Figures 4 and 5 show the accumulated mass fraction as a function of the terminal velocity of the particle both 
measured in the elutriator and predicted by correlations for the bagasse and the straw, respectively. In the 
case of bagasse, Figure 4, a good agreement was found between the measured elutriation velocity and the 
one obtained by the Haider and Levenspiel (1989) equation for non-spherical particles up to 2.52 m/s. For 
straw, a slight approximation was found between the measured elutriation velocity and the one obtained by 
Haider and Levenspiel (1989) equation for non-spherical particles ut to 2.00 m/s. It should be noted that the 
velocities provided by the correlations are lower than those measured experimentally, e.g., for the estimation 
of the terminal velocity of the coarse fraction of bagasse, sieved with higher mesh opening and calculated with 
the equation Haider and Levenspiel (1989) for non-spherical particles, is 55 % (59 % for straw) less than the 
measured value for the coarse particles of bagasse separated by elutriation at the highest velocity. 

 

Figure 4: Mass fraction accumulated versus terminal velocity of bagasse particles, measured and predicted by 
correlations of Grotart (1973), Haider and Levenspiel (1989), and Sosa-Arnao and Nebra (2009).  

 

Figure 5: Mass fraction accumulated versus terminal velocity of straw particles, measured and predicted by 
correlations of Grotart (1973), Haider and Levenspiel (1989), and Sosa-Arnao and Nebra (2009). 

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4. Conclusions 

The results showed great difference between separation techniques by sieving and elutriation for 
characterization of size particles. Terminal velocity values obtained experimentally differ, in large part, of the 
value calculated by classical correlations of literature, due to the variety and irregularity of the particle shape 
and size distribution from biomass. 

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