Abstract:Experimental residence‐time distribution (RTD) characteristics of an extrusion process may be used to estimate the extent of mixing experienced in the extruder. Using earlier theories of laminar mixing and striation thickness reduction, a new approach to estimate efficacy of mixing of two phases in the mixing zone of the extruder is proposed. Predicting the time required to achieve complete mixing and comparing it with the minimum time (plug flow time) that the extrudate spends in the mixing zone gives a ratio… Show more
“…Rizvi and co-workers have developed several processes using a co-rotating twin screw extruder with a 52 mm screw diameter (Wenger TX52) [25,26,[45][46][47][48][49][50][51][52][53][54][55][56][57]. The screw configuration and L/D ratio were varied according to the application.…”
Section: Experimental Devicesmentioning
confidence: 99%
“…During extrusion of breakfast cereals, Rizvi et al were mainly interested in the characterization of the mixing between this foodstuff and sc-CO 2 . First, they investigated the residence time distribution (RTD) of a dye injected by means of CO 2 [50], and then porosity was examined by image analysis [51]. The RTD of a reactor is a probability distribution function that describes the amount of time a fluid element spends inside the reactor [67].…”
Section: Foodstuffsmentioning
confidence: 99%
“…Using mixing theories, the same authors were able to estimate the minimum time required to solubilize CO 2 in the extruded foodstuff [51]. For the lowest pressures (3-7 MPa), this minimum time is lower than the characteristic time of the plug flow, which seems to be favourable to obtain a good mixing.…”
International audienceIt is well known that supercritical carbon dioxide (sc-CO 2) is soluble in molten polymers and acts as a plasticizer. The dissolution of sc-CO 2 leads to a decrease in the viscosity of the liquid polymer, the melting point and the glass transition temperature. These properties have been used in several particle generation processes such as PGSS (particles from gas saturated solutions). It is therefore highly likely that extrusion processes would benefit from the use of sc-CO 2 since the rationale of the extrusion processes is to formulate, texture and shape molten polymers by forcing them through a die. Combining these two technologies, extrusion and supercritical fluids, could open up new applications in extrusion. The main advantage of introducing sc-CO 2 in the barrel of an extruder is its function as a plasticizer, which allows the processing of molecules which would otherwise be too fragile to withstand the mechanical stresses and the operating temperatures of a standard extrusion process. In addition, the dissolved CO 2 acts as a foaming agent during expansion through the die. It is therefore possible to control pore generation and growth by controlling the operating conditions. This review focuses on experimental work carried out using continuous extrusion. A continuous process is more economically favourable than batch foaming processes because it is easier to control, has a higher throughput and is very versatile in the properties and shapes of the products obtained. The coupling of extrusion and supercritical CO 2 technologies has already broadened the range of application of extrusion processes. The first applications were developed for the agro-food industry twenty years ago. However, most thermoplastics could potentially be submitted to sc-CO 2-assisted extrusion, opening new challenging opportunities, particularly in the field of pharmaceutical applications. This coupled technology is however still very new and further developments of both experimental and modelling studies will be necessary to gain better theoretical understanding and technical expertise prior to industrial use, especially in the pharmaceutical field
“…Rizvi and co-workers have developed several processes using a co-rotating twin screw extruder with a 52 mm screw diameter (Wenger TX52) [25,26,[45][46][47][48][49][50][51][52][53][54][55][56][57]. The screw configuration and L/D ratio were varied according to the application.…”
Section: Experimental Devicesmentioning
confidence: 99%
“…During extrusion of breakfast cereals, Rizvi et al were mainly interested in the characterization of the mixing between this foodstuff and sc-CO 2 . First, they investigated the residence time distribution (RTD) of a dye injected by means of CO 2 [50], and then porosity was examined by image analysis [51]. The RTD of a reactor is a probability distribution function that describes the amount of time a fluid element spends inside the reactor [67].…”
Section: Foodstuffsmentioning
confidence: 99%
“…Using mixing theories, the same authors were able to estimate the minimum time required to solubilize CO 2 in the extruded foodstuff [51]. For the lowest pressures (3-7 MPa), this minimum time is lower than the characteristic time of the plug flow, which seems to be favourable to obtain a good mixing.…”
International audienceIt is well known that supercritical carbon dioxide (sc-CO 2) is soluble in molten polymers and acts as a plasticizer. The dissolution of sc-CO 2 leads to a decrease in the viscosity of the liquid polymer, the melting point and the glass transition temperature. These properties have been used in several particle generation processes such as PGSS (particles from gas saturated solutions). It is therefore highly likely that extrusion processes would benefit from the use of sc-CO 2 since the rationale of the extrusion processes is to formulate, texture and shape molten polymers by forcing them through a die. Combining these two technologies, extrusion and supercritical fluids, could open up new applications in extrusion. The main advantage of introducing sc-CO 2 in the barrel of an extruder is its function as a plasticizer, which allows the processing of molecules which would otherwise be too fragile to withstand the mechanical stresses and the operating temperatures of a standard extrusion process. In addition, the dissolved CO 2 acts as a foaming agent during expansion through the die. It is therefore possible to control pore generation and growth by controlling the operating conditions. This review focuses on experimental work carried out using continuous extrusion. A continuous process is more economically favourable than batch foaming processes because it is easier to control, has a higher throughput and is very versatile in the properties and shapes of the products obtained. The coupling of extrusion and supercritical CO 2 technologies has already broadened the range of application of extrusion processes. The first applications were developed for the agro-food industry twenty years ago. However, most thermoplastics could potentially be submitted to sc-CO 2-assisted extrusion, opening new challenging opportunities, particularly in the field of pharmaceutical applications. This coupled technology is however still very new and further developments of both experimental and modelling studies will be necessary to gain better theoretical understanding and technical expertise prior to industrial use, especially in the pharmaceutical field
“…Ollett and others (1989) showed that MRT decreased from about 80 s at 75 rpm to 40 to 50 s at 300 rpm. Singh and Rizvi (1998b) showed that average residence time decreased sharply from 119.2 s to 80.8 s when screw speed was increased from 150 to 200 rpm, but decreased only moderately from 80.8 s to 74.8 s when the screw speed was further increased from 200 rpm to 250 rpm.…”
Section: Effects Of Screw Speedmentioning
confidence: 99%
“…With this model a fairly close simulation of the RTD could be made. Singh and Rizvi (1998b) modeled exit age distributions, E-curves using the approach of Wolf-White model, a cascade of CSTRs. and a plug-flow in series with CSTR model.…”
Section: Modeling Residence Time Distribution and Mean Residence Timementioning
Residence time distribution and mean residence time depend on process variables, namely feed rate, screw speed, feed moisture content, barrel temperature, die temperature and die diameter. Flow in an extruder has been modeled by simulating residence time distribution, assuming the extruder to be a series of continuousstirred-tank or plug-flow reactors. Others have developed relationships for mean residence time as functions of process variables. Better models can be developed using neural networks. As an example, data from the literature were used to model mean residence time as a function of process variables using statistical regression and neural networks. Neural network models performed better than regression models.
This research delves into the numerical predictions of fill-level and residence time distribution (RTD) in starve-fed single-screw extrusion systems. Starve-feeding, predominantly used in ceramic extrusion, introduces challenges which this study seeks to address. Based on a physical industrial system, a comprehensive 3D computational fluid dynamics (CFD) model was developed using a porous media representation of the complex multi-hole plate die. Validations performed using real sensor data, accounting for partial wear on auger screw flights, show an ~11% discrepancy without accounting for screw wear and ~6% when considering it. A 2D convection-diffusion model was introduced as a dimensionality reduced order model (ROM) with the intention of bridging the gap between comprehensive CFD simulations and real-time applications. Central to this model’s prediction ability was both the velocity field transfer from the CFD model and calibration of the ROM diffusion coefficient such that a precise agreement of residence time distribution (RTD) curves could be obtained. Some discrepancies between the CFD and the ROM were observed, attributed to the loss of physical information of the system when transitioning from a higher fidelity CFD model to a semi-mechanistic ROM and the inherent complexities of the starved flow in the compression zone of the extruder. This research offers a comprehensive methodology and insights into reduced order modeling of starve-fed extrusion systems, presenting opportunities for real-time optimization and enhanced process understanding.
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