Multi‐objective optimization of reactive extrusion by genetic algorithms

Zhang, Guofang; Zhang, Min; Jia, Yuxi

doi:10.1002/app.41862

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…For the optimization of the configuration and the operating parameters of a reactive extrusion process, it is proposed in this work to use a MA used in contrast to an evolutionary algorithm as in References [18,40,41]. MAs combine a global search by a metaheuristic (here an evolutionary algorithm) with a classical local optimization algorithm.…”

Section: Memetic Optimizationmentioning

confidence: 99%

Optimal design and operation of reactive extrusion processes: Modeling, model validation, and optimization algorithm

Cegla,

Engell

2023

Polymer Engineering & Sci

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In this work, a methodology for the optimal design and operation of reactive extrusion processes in twin‐screw extruders is presented. As a process model, a very accurate mechanistic finite volume twin‐screw extruder model is used which is adapted to the reactive extrusion case. In the model, in contrast to other models, the pressure is described as a differential state in order to have a consistent set of equations. The model is compared to other models and advantages and disadvantages with respect to accuracy and computation time are discussed. For optimization, a memetic optimization algorithm (MA) that consists of a combination of a local optimization for the continuous operating parameters and an evolutionary algorithm (EA) for the global optimization of the discrete decision variables is employed to overcome the drawback of the longer model simulation time compared to simpler models. A reduction of optimization time by 90% for the MA compared to the EA was observed. The presented modeling and optimization methodology is validated on the widely investigated reactive extrusion process for ε‐Caprolactone. The methodology is very flexible and the underlying model has good prediction characteristics, thus it is applicable to a wide range of reactive extrusion processes of industrial interest.Highlights Simulation and optimization of reactive extrusion. Improved mechanistic twin‐screw extruder model. Novel approaches for pressure and residence time modeling. Efficient combination of local and global optimization in a memetic algorithm. Benchmarking of the optimization results and performance with literature data.

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Section: Memetic Optimizationmentioning

confidence: 99%

Optimal design and operation of reactive extrusion processes: Modeling, model validation, and optimization algorithm

Cegla,

Engell

2023

Polymer Engineering & Sci

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“…Zhang et al [ 75 ] employed a single-objective EA to optimize free radical bulk polymerization, with the aim of defining the barrel temperature and screw length that maximized both monomer conversion and monomer conversion per unit energy consumption. A weighted sum took into account the two objectives.…”

Section: Optimization Algorithms In Polymer Processingmentioning

confidence: 99%

Optimization of Polymer Processing: A Review (Part I—Extrusion)

2022

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Given the global economic and societal importance of the polymer industry, the continuous search for improvements in the various processing techniques is of practical primordial importance. This review evaluates the application of optimization methodologies to the main polymer processing operations. The most important characteristics related to the usage of optimization techniques, such as the nature of the objective function, the type of optimization algorithm, the modelling approach used to evaluate the solutions, and the parameters to optimize, are discussed. The aim is to identify the most important features of an optimization system for polymer processing problems and define the best procedure for each particular practical situation. For this purpose, the state of the art of the optimization methodologies usually employed is first presented, followed by an extensive review of the literature dealing with the major processing techniques, the discussion being completed by considering both the characteristics identified and the available optimization methodologies. This first part of the review focuses on extrusion, namely single and twin-screw extruders, extrusion dies, and calibrators. It is concluded that there is a set of methodologies that can be confidently applied in polymer processing with a very good performance and without the need of demanding computation requirements.

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“…Zhang et al [75] employed a single objective EA to optimize free radical bulk polymerization, with the aim of defining the barrel temperature and screw length that maximize both monomer conversion and monomer conversion per unit energy consumption. A weighted sum took into account the two objectives.…”

Section: Twin-screw Extrusionmentioning

confidence: 99%

Optimization of Polymer Processing: A Review (Part I- Extrusion)

Gaspar‐Cunha¹,

Sikora²,

Covas³

2021

Preprint

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Given the global economic and societal importance of the polymer industry, the continuous search for improvements in the various processing techniques is of practical primordial importance. This review evaluates the application of optimization methodologies to the main polymer processing operations. The most important characteristics related with the usage of optimization techniques, such as the nature of the objective function, the type of optimization algorithm, the modelling approach used to evaluate the solutions, and the parameters to optimize, are discussed. The aim is to identify the most important features of an optimization system for polymer processing problems, and define the best procedure for each particular practical situation. For this purpose, a state-of-the-art of the optimization methodologies usually employed is first presented, followed by an extensive review of the literature dealing with the major processing techniques, the discussion being completed by considering both the characteristics identified and the available optimization methodologies. This first part of the review focus on extrusion, namely extruders, extrusion dies and calibrators. It is concluded that there is a set of methodologies that can be confidently applied in polymer processing, with a very good performance and without the need of demanding computation requirements.

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Multi‐objective optimization of reactive extrusion by genetic algorithms

Cited by 4 publications

References 20 publications

Optimal design and operation of reactive extrusion processes: Modeling, model validation, and optimization algorithm

Optimal design and operation of reactive extrusion processes: Modeling, model validation, and optimization algorithm

Optimization of Polymer Processing: A Review (Part I—Extrusion)

Optimization of Polymer Processing: A Review (Part I- Extrusion)

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