Virtual Prototyping Applied to a Blow Molded Container

Klein, Philippe; Fradet, Frédéric; Metwally, Hossam; Merchal, Thierry

doi:10.1002/j.1941-9635.2013.tb00941.x

Cited by 2 publications

(3 citation statements)

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“…With this approach, they were able to numerically simulate the blow molding process of an industrial part with a relatively complex geometry. Further research [5][6][7][8][9][10][11][12] using computer simulations, with a focus mainly on optimization of the wall thickness distribution, has been conducted in extrusion blow molding.…”

Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Regression Models for Predicting the Wall Thickness Distribution of Corrugated Pipes

Albrecht

Roland

Fiebig³

et al. 2022

Polymers

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Corrugated pipes offer both higher stiffness and higher flexibility while simultaneously requiring less material than rigid pipes. Production rates of corrugated pipes have therefore increased significantly in recent years. Due to rising commodity prices, pipe manufacturers have been driven to produce corrugated pipes of high quality with reduced material input. To the best of our knowledge, corrugated pipe geometry and wall thickness distribution significantly influence pipe properties. Essential factors in optimizing wall thickness distribution include adaptation of the mold block geometry and structure optimization. To achieve these goals, a conventional approach would typically require numerous iterations over various pipe geometries, several mold block geometries, and then fabrication of pipes to be tested experimentally—an approach which is very time-consuming and costly. To address this issue, we developed multi-dimensional mathematical models that predict the wall thickness distribution in corrugated pipes as functions of the mold geometry by using symbolic regression based on genetic programming (GP). First, the blow molding problem was transformed into a dimensionless representation. Then, a screening study was performed to identify the most significant influencing parameters, which were subsequently varied within wide ranges as a basis for a comprehensive, numerically driven parametric design study. The data set obtained was used as input for data-driven modeling to derive novel regression models for predicting wall thickness distribution. Finally, model accuracy was confirmed by means of an error analysis that evaluated various statistical metrics. With our models, wall thickness distribution can now be predicted and subsequently used for structural analysis, thus enabling digital mold block design and optimizing the wall thickness distribution.

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Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Regression Models for Predicting the Wall Thickness Distribution of Corrugated Pipes

Albrecht

Roland

Fiebig³

et al. 2022

Polymers

View full text Add to dashboard Cite

show abstract

“…The research works regarding the computer simulation of extrusion blow moulding done so far were mainly about wall thickness distribution optimization [2][3][4][5][6][7][8][9][10], by controlling the extruded parison wall thickness distribution, for example. It is not only possible to optimize the wall thickness distribution, but also to reduce the mass of the product, using a computer simulation as a tool [7].…”

Section: Introductionmentioning

confidence: 99%

“…The modeling of the product strength [8][9][10] with the reference to the results of blow moulding computer simulation is especially important because it allows modifying product design and processing conditions to obtain the required strength. The wall thickness distribution result should be used to simulate the strain and stress of the loaded container or to simulate the stress in the case of free fall of the container which occurs during the typical "drop test" of such products [10].…”

Section: Introductionmentioning

confidence: 99%

Computer simulation of the load test of an extrusion blow moulded product

2018

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The results of compression "top load" test of an extrusion blow moulded container, performed in ANSYS Mechanical software, were presented. The non-uniform wall thickness of the blown product was considered because the thickness distribution was the result of the first step of the simulation in ANSYS Polyflow - the simulation of the product manufacturing by extrusion blow moulding. The hydrostatic pressure factor was taken into account during the "top load" simulation, because such a test is usually done for filled products. It was found that the biggest stress values occur around the inlet as well as in the side walls of the container.

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Virtual Prototyping Applied to a Blow Molded Container

Cited by 2 publications

References 0 publications

Multi-Dimensional Regression Models for Predicting the Wall Thickness Distribution of Corrugated Pipes

Multi-Dimensional Regression Models for Predicting the Wall Thickness Distribution of Corrugated Pipes

Computer simulation of the load test of an extrusion blow moulded product

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