Use of Flow Modeling to Optimize the Twin-Screw Extrusion Process for the Preparation of Lignocellulosic Fiber-Based Composites

Berzin, Françoise; David, Chantal; Vergnes, Bruno

doi:10.3389/fmats.2020.00218

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…A failure related to the extrusion of fiber-reinforced polymers is breakage due to stress accumulation in the fibers. This is mainly due to the control of parameters through the extruder flow [165]. The size of the fibers and the shearing can also affect the mechanical properties since the adhesion between the compounds is reduced [151,166].…”

Section: Cellulose and Hemicellulose Used In Injection Moldingmentioning

confidence: 99%

Polymeric Materials Obtained by Extrusion and Injection Molding from Lignocellulosic Agroindustrial Biomass

Pacheco,

Evangelista-Osorio,

Muchaypiña-Flores

et al. 2023

Polymers

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This review presents the advances in polymeric materials achieved by extrusion and injection molding from lignocellulosic agroindustrial biomass. Biomass, which is derived from agricultural and industrial waste, is a renewable and abundant feedstock that contains mainly cellulose, hemicellulose, and lignin. To improve the properties and functions of polymeric materials, cellulose is subjected to a variety of modifications. The most common modifications are surface modification, grafting, chemical procedures, and molecule chemical grafting. Injection molding and extrusion technologies are crucial in shaping and manufacturing polymer composites, with precise control over the process and material selection. Furthermore, injection molding involves four phases: plasticization, injection, cooling, and ejection, with a focus on energy efficiency. Fundamental aspects of an injection molding machine, such as the motor, hopper, heating units, nozzle, and clamping unit, are discussed. Extrusion technology, commonly used as a preliminary step to injection molding, presents challenges regarding fiber reinforcement and stress accumulation, while lignin-based polymeric materials are challenging due to their hydrophobicity. The diverse applications of these biodegradable materials include automotive industries, construction, food packaging, and various consumer goods. Polymeric materials are positioned to offer even bigger contributions to sustainable and eco-friendly solutions in the future, as research and development continues.

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Section: Cellulose and Hemicellulose Used In Injection Moldingmentioning

confidence: 99%

Polymeric Materials Obtained by Extrusion and Injection Molding from Lignocellulosic Agroindustrial Biomass

Pacheco,

Evangelista-Osorio,

Muchaypiña-Flores

et al. 2023

Polymers

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“…The flow simulation software Ludovic©, dedicated to twinscrew extrusion [29][30][31][32] , was used to estimate some parameters of the compounding process. Specifically, Ludovic© was used to calculate both the local temperature along the extruder and the residence time, according to the parametric study.…”

Section: Composite Manufacturingmentioning

confidence: 99%

Extrusion and injection moulding induced degradation of date palm fibre - polypropylene composites

Domenek

Berzin

Ducruet

et al. 2021

Polymer Degradation and Stability

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Application of Machine Learning Tools for the Improvement of Reactive Extrusion Simulation

Castéran

Ibáñez

Argerich

et al. 2020

Macro Materials & Eng

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the extrusion process is well suited for the processing of highly viscous materials, the high shear can still cause self-heating of the material and possible side reactions. In addition, the short residence time limits the number of possible reactions, and finally, the scale up to industrial pilot and plants comes with many difficulties. The nature of the reactive extrusion process involves a complex flow and a large number of parameters, dependent variables and phenomena that make it difficult to understand and therefore to control and to optimize. In response to this complexity, various strategies have been adopted for the modeling and simulation of reactive extrusion. [5] Two main methodologies can be identified. The first strategy is based on a chemical engineering approach. This method consists in considering the extruder as a succession of ideal chemical reactors, which number and nature depend on the screw profile geometry. A global balance can then lead to an approximation of flow conditions. This method has been used in several studies, and among them, Choulak et al. used it to develop a dynamic 1D model for automatic control of reactive extrusion. [7] This approach is especially well adapted for automatic control because of its fast execution due to the simplifications and its ability to perform in transient regime. However, it requires to adjust parameters to each situation so it cannot be easily used as a predictive tool or to solve scale up issues. The second strategy is a local description of the flow field based on continuum mechanics. It thus reproduces real conditions without ideal representation. The flow is indeed simulated by resolving classical mechanics equations relatively to local geometry, kinematics, and boundary conditions. These models can therefore be totally predictive and can be used for process design, but also for its optimization and predictions in case of a change in the process. Whereas it is a more flexible and accurate way to simulate the extrusion process, it requires a lot of time and computing power and is consequently not adapted for automatic process control. As the flow in the extruder is unsteady, not isothermal, and 3D, it is more accurate to use a 3D local simulation. But in some cases it appears that a 1D local description of the flow and temperature field at steady-state can be sufficient for most engineering issues. [8] In addition, it allows creating a software easily usable for process predictions without needing excessive time or computing power. We used for our simulation the LUDOVIC software developed by Vergnes et al. for twinscrew extrusion that uses this 1D local description. [9] Actually, The purpose of this paper is to combine a classical 1D twin-screw extrusion model with machine learning techniques to obtain accurate predictions of a complex system despite few data. Systems involving reactive polyethylene oligomer dispersed in situ in a polypropylene matrix by reactive twin-screw extrusion are studied for this purpose. The twin-screw extrusion simulati...

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Use of Flow Modeling to Optimize the Twin-Screw Extrusion Process for the Preparation of Lignocellulosic Fiber-Based Composites

Cited by 3 publications

References 35 publications

Polymeric Materials Obtained by Extrusion and Injection Molding from Lignocellulosic Agroindustrial Biomass

Polymeric Materials Obtained by Extrusion and Injection Molding from Lignocellulosic Agroindustrial Biomass

Extrusion and injection moulding induced degradation of date palm fibre - polypropylene composites

Application of Machine Learning Tools for the Improvement of Reactive Extrusion Simulation

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