An optimization approach to practical problems in plasticating single screw extrusion

Covas, J. A.; Cunha, Adriana; Oliveira, Pedro

doi:10.1002/pen.11434

Cited by 38 publications

(34 citation statements)

References 11 publications

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“…This can be seen as a real optimization problem where various, often conflicting, objectives have to be taken into account simultaneously. Solving real multiobjective optimization problems generally involves the repetitive use of complex modeling routines, which solve the process governing equations resorting to expensive numerical methods [7]. Thus, trial‐and‐error procedures are particularly expensive.…”

Section: Introductionmentioning

confidence: 99%

Application of evolutionary algorithms to the definition of the optimal twin‐screw extruder configuration for starch cationization

Teixeira

Covas

Berzin

et al. 2010

Polymer Engineering & Sci

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The twin‐screw configuration problem (TSCP) involves defining the location of a set of predefined screw elements of a corotating twin‐screw extruder configuration to optimize different, often conflicting, objectives. A multiobjective optimization methodology based on Evolutionary Algorithms was developed and applied to solve the TSCP. This methodology is used in starch cationization case studies, involving different screw elements and screw lengths. The results obtained, taking into consideration various conflicting objectives, such as minimizing the specific mechanical energy and maximizing output and reaction efficiency, have physical meaning and thus validate the methodology. POLYM. ENG. SCI., 2011. © 2010 Society of Plastics Engineers

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Section: Introductionmentioning

confidence: 99%

Application of evolutionary algorithms to the definition of the optimal twin‐screw extruder configuration for starch cationization

Teixeira

Covas

Berzin

et al. 2010

Polymer Engineering & Sci

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“…An alternative method (also identified in Fig. 2) is to make use of the fact that GAs work with a population of points, and to carry out a multiobjective optimization where the various criteria are optimized simultaneously but independently [10,18]. Use is made of the concept of Pareto frontiers, which represent the set of feasible solutions, i. e., the solutions that are at least as good as others with respect to all criteria, but better with respect to at least one criterion.…”

Section: Optimization Methodologymentioning

confidence: 99%

Optimization of Processing Conditions for Polymer Twin-Screw Extrusion

Gaspar‐Cunha

Poulesquen

Vergnes

et al. 2002

International Polymer Processing

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The problem of setting the best operating conditions of a co-rotating twin-screw extruder is solved using an optimization approach based on Genetic Algorithms. Two possibilities are considered: i) the maximization of an objective function; ii) the simultaneous optimization of the individual criteria and the use of Pareto plots. The flow conditions inside the machine are simulated using the Ludovic Ó software. Various practical case studies are discussed, among them a reactive extrusion application. Generally, the methodology is sensitive to the influence of the main process criteria and provides solutions that are apparently sound.

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“…9,10 The methodology utilises a mathematical model to describe the flow of a polymer in a single screw extruder. This description is applied iteratively to define sets of optimised input parameters to reach a desired objective.…”

Section: Modelling and Optimisationmentioning

confidence: 99%

Tailored shear extrusion of carbon nanofibre/polyamide composites and its effect on electrical percolation threshold

Leer¹,

Hattum²,

Gaspar‐Cunha³

et al. 2006

Plastics, Rubber and Composites

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Carbon nanofibre (CNF) thermoplastic composites can offer permanent conductivity at electrostatic discharge levels with very low filler levels, without affecting processing and other beneficial properties of the host polymer. This capacity makes these materials of particular interest for, for example, electrostatically painted automotive parts. However, ultimate properties depend largely on the processing history of the material. The present paper describes a methodology to optimise the production of nylon 6 composites reinforced with CNFs by balancing fibre dispersion and fibre degradation during melt compounding. The optimisation approach used combines a modelling routine of the compounding process with a multiobjective evolutionary algorithm able to deal with multiple objectives simultaneously. The electrical properties of the composites, compounded and subsequently injection moulded at several fibre loadings, revealed direct relationships with the modelling optimisation parameters. In this way, the potential of tailoring operating conditions and/or screw design during compounding to obtain desired final product properties was demonstrated.

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An optimization approach to practical problems in plasticating single screw extrusion

Cited by 38 publications

References 11 publications

Application of evolutionary algorithms to the definition of the optimal twin‐screw extruder configuration for starch cationization

Application of evolutionary algorithms to the definition of the optimal twin‐screw extruder configuration for starch cationization

Optimization of Processing Conditions for Polymer Twin-Screw Extrusion

Tailored shear extrusion of carbon nanofibre/polyamide composites and its effect on electrical percolation threshold

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