Feedforward control model for a twin-screw food extruder

Moreira, Rosana G.; Srivastava, Ankit; Gerrish, John B.

doi:10.1016/0956-7135(90)90009-2

Cited by 24 publications

(15 citation statements)

References 6 publications

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“…The author concluded that the process is linear under the range of screw speeds tested. Moreira et al 19 used step tests on screw speed and MC to study the dynamical behavior of the extruder through pressure. They performed step tests of medium magnitude, and also back steps to return to the initial set point.…”

Section: Table IV Steady State Process Gains For Step-input Variationmentioning

confidence: 99%

“…Several researchers have studied the dynamic modeling and control of extrusion processes, based on their gross dynamic input-output behavior. [17][18][19][20][21][22][23][24] In our previous paper, 25 we have reported on the twin-screw extrusion production of starch foams using poly(hydroxy aminoether) (PHAE) as the functional aid, as well as on the optimization of the process. In the present work, the dynamic response of various process variables of a twin-screw extrusion starch foaming process or the sensitivity of the process parameters to the change in inputs were studied, both of which must be known for the implementation of process control.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the dynamic behavior of a starch foam extrusion process

Nabar

Narayan

2006

J of Applied Polymer Sci

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ABSTRACT:The starch foam extrusion process was modeled as a multiple input multiple output (MIMO) process, and the dynamics of the process were studied as a response to step changes in the input variables such as starch feed rate, screw speed, moisture content (MC), and poly(hydroxy aminoether) (PHAE) feed rate. The responses were modeled as first-order responses with a time delay. The linearity of the process was determined over a range around the setpoint, and the parameters defining the first-order system such as gain "K," time constant "," and dead time "t d " were determined in the linear range. The transfer function models can then be used in a predictive computer control system for on-line fine-tuning of the operating conditions. This could ensure a consistently high quality product even when low frequency disturbances are present in the system. It was observed that the time constants and the dead times recorded for both the pressure and torque responses did not exhibit significant variation within each manipulated or input variable tested, indicating a dynamic linearity with respect to each manipulated variable. It was also observed that for the same step-input variations in the manipulated variables, the torque loading on the twin-screw extruder exhibited a faster response (lower dead time), and also reached a steady state sooner (lower time constant). The MC and screw speed seem to be the most destabilizing variables, as they induce rapid responses in the process variables. The MC in the extruder was, hence, determined to be the most influential factor in the stability of the process, followed by screw speed and starch feed rate. PHAE feed rate was the least significant variable. Multiple step-input tests were carried out to determine the validity of the principle of superposition. The validity of the principle of superposition implied the linearity of the process in the domain tested.

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Section: Table IV Steady State Process Gains For Step-input Variationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the dynamic behavior of a starch foam extrusion process

Nabar

Narayan

2006

J of Applied Polymer Sci

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“…Examples of single-screw extruder modeling can also be found in [141][142][143] and serve the development of more specific techniques related to twin-screw configurations, as in [19,20,144,145].…”

Section: Data-driven Modelsmentioning

confidence: 99%

“…Two classes can be defined: hard-sphere methods where particles are considered rigid and collisions are instantaneous and binary (note that this method is not valid in twin screw modeling) and soft-sphere methods where interactions upon collisions and lasting contact between the particles and the equipments (screws, barrel) are considered. The implementation of the collisions and contact forces (normal and tangential forces; see Figure 22) in Newton's second law of motion (Equation (18)) and the angular momentum (Equation (19)) equations at any time instant constitute the modeling. …”

Section: Population Balance Modeling and Discrete Element Modelingmentioning

confidence: 99%

“…(see Figure 1). To regulate the process around the desired operating point, a control system is usually required [19][20][21][22][23][24]. The aim of this paper is to review the mathematical models of hot-melt extrusion that were proposed in the past few decades, with a focus on dynamic models that could be the basis for developing a simulator, a state estimator or a controller.…”

Section: Introductionmentioning

confidence: 99%

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A Review of Dynamic Models of Hot-Melt Extrusion

2016

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Hot-melt extrusion is commonly applied for forming products, ranging from metals to plastics, rubber and clay composites. It is also increasingly used for the production of pharmaceuticals, such as granules, pellets and tablets. In this context, mathematical modeling plays an important role to determine the best process operating conditions, but also to possibly develop software sensors or controllers. The early models were essentially black-box and relied on the measurement of the residence time distribution. Current models involve mass, energy and momentum balances and consists of (partial) differential equations. This paper presents a literature review of a range of existing models. A common case study is considered to illustrate the predictive capability of the main candidate models, programmed in a simulation environment (e.g., MATLAB). Finally, a comprehensive distributed parameter model capturing the main phenomena is proposed.

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Identification of transient responses of a plasticating twin screw extruder due to excitation in feed rate

Iqbal

Sundararaj

Shah

2010

Polymer Engineering & Sci

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A corotating plasticating twin screw extruder (TSE) was excited by changing feed rate according to predesigned random binary sequence (RBS) and stair type excitation. A high density polyethylene was used as processing material in this study. Empirical models were developed relating two output variables, melt pressure at die (Pm), and melt temperature at die (Tm), with feed rate (F). Classical linear system identification technique was used to develop models. Models were developed using a data set obtained from RBS excitation. Stair type excitation data were used to validate the developed models. The structure of the obtained models was autoregressive moving average with exogenous input (ARMAX). Models with ARMAX structure and order of 2 were found to be sufficient to capture the dynamic behaviors of Pm and Tm when F was changed. A delay‐gain model was proposed for Pm and was found to capture the response quite satisfactorily. POLYM. ENG. SCI., 2011. © 2010 Society of Plastics Engineers

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Feedforward control model for a twin-screw food extruder

Cited by 24 publications

References 6 publications

Analysis of the dynamic behavior of a starch foam extrusion process

Analysis of the dynamic behavior of a starch foam extrusion process

A Review of Dynamic Models of Hot-Melt Extrusion

Identification of transient responses of a plasticating twin screw extruder due to excitation in feed rate

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