Optimization of Injection Stretch Blow Molding: Part I – Defining Part Thickness Profile

Denysiuk, Roman; Gonçalves, Nuno; Pinto, Renê S.; Silva, Hugo Miguel; Duarte, F. M.; Nunes, João Arriscado; Gaspar‐Cunha, A.

doi:10.3139/217.3746

Cited by 5 publications

(7 citation statements)

References 12 publications

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“…For that purpose, the mean (f1) and the maximum (f2) errors between the optimal thickness distribution and the thickness distribution of the parison must be minimized. More details on this optimization can be found elsewhere [15,16].…”

Section: Need For Optimization In Polymer Processingmentioning

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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Section: Need For Optimization In Polymer Processingmentioning

confidence: 99%

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

Gaspar‐Cunha¹,

Sikora²,

Covas³

2021

Preprint

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“…Given the multi-objective nature of these problems, MOEA were combined with ANN [89,90,91]. A MOEA was applied to find the best solutions, i.e., to obtain the best trade-off between material usage and mechanical properties, whereas ANN was used to represent thickness distributions.…”

Section: Injection Blow Moldingmentioning

confidence: 99%

Optimization of Polymer Processing: A Review (Part II- Molding Technologies)

Gaspar‐Cunha¹,

Sikora²,

Covas³

2021

Preprint

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The application of optimization techniques to improve the performance of polymer processing technologies is of great practical consequence, since it may result in significant savings of materials and energy resources, assist recycling schemes and generate products with better properties. The present review aims at identifying and discussing the most important characteristics of polymer processing optimization problems in terms of the nature of the objective function, optimization algorithm, and process modelling approach that is used to evaluate the solutions and the parameters to optimize. Taking into account the research efforts developed so far, it is shown that several optimization methodologies can be applied to polymer processing with good results, without demanding important computational requirements. Also, within the field of artificial intelligence, several approaches can be reach significant success. The first part of this review demonstrated the advantages of the optimization approach in polymer processing, discussed some concepts on multi-objective optimization and reported the application of optimization methodologies in single and twin screw extruders, extrusion dies and calibrators. This second part focus on injection molding, blow molding and thermoforming technologies.

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“…Since the amount of material used in blow molded products represents a significant share of the total manufacture costs, the minimization of material utilization is required [1]. However, there are several important mechanical properties which are also dependent on this feature.…”

Section: Introductionmentioning

confidence: 99%

“…Numerical approaches can be applied to avoid empirical tests to find the process input variables which gives the best tradeoff between the material utilization and the desired mechanical properties. Several studies in the literature present different approaches concerning injection stretch blow molding design process and optimization [1,2,3,4,5,6]. One of the major challenges in optimizing this process is to define the complete thickness profile and shape of the final part and of the preform in order to achieve desired mechanical properties with less material utilization.…”

Section: Introductionmentioning

confidence: 99%

“…In [1] and [2] a global optimization methodology for injection stretch blow molding process is presented and detailed. This methodology uses a neuroevolutionary multiobjective approach and is composed by steps (or phases) that should be performed to optimize the whole process in order to find the best thickness profile of the final part and of the preform.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Neuroevolutionary Multiobjective Optimization of Injection Stretch Blow Molding Process in the Blowing Phase

Pinto

Silva

Duarte

et al. 2020

Computational Methods in Applied Sciences

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Injection stretch blow molding is a very important thermoplastic processing technique producing hollow containers with mechanical performance. One of the main challenges in optimizing this process consists in finding the best thickness profile for each part in order to achieve the desired mechanical properties with less material use. In a previous study, a new methodology based on a neuroevolutionary multiobjective optimization approach was proposed to enhance the entire process, which considers that the process is optimized by phases, starting by the end. In that initial study only the final phase of the process was addressed, where the best thickness profile for an industrial bottle was found in order to satisfy the required mechanical properties with less material use. In the present study, the focus is the second stage of the optimization methodology, concerning the blowing phase of injection blow molding process. The optimal results obtained in the first phase are used as the optimal thickness profile for the bottle with the goal to find the best preform thickness profile which produces the desired bottle. The same procedures are used and the results shown that the methodology was successfully applied to its second phase.

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Optimization of Injection Stretch Blow Molding: Part I – Defining Part Thickness Profile

Cited by 5 publications

References 12 publications

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

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

Optimization of Polymer Processing: A Review (Part II- Molding Technologies)

Neuroevolutionary Multiobjective Optimization of Injection Stretch Blow Molding Process in the Blowing Phase

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