Prediction of parison formation using process data in extrusion blow molding

In the extrusion process for plastic fuel tanks, laminated molten polymeric material is extruded and is molded into a hollow cylindrical shape called a parison. Accurately predicting the shape of a parison made from material of inhomogeneous viscoelasticity is a challenging issue. In this study, a n...

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Main Authors: Tokunaga Tomohiro, Kajiwara Toshihisa, Nakayama Yasuya
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:Manufacturing Review
Subjects:
Online Access:https://mfr.edp-open.org/articles/mfreview/full_html/2025/01/mfreview240045/mfreview240045.html
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author Tokunaga Tomohiro
Kajiwara Toshihisa
Nakayama Yasuya
author_facet Tokunaga Tomohiro
Kajiwara Toshihisa
Nakayama Yasuya
author_sort Tokunaga Tomohiro
collection DOAJ
description In the extrusion process for plastic fuel tanks, laminated molten polymeric material is extruded and is molded into a hollow cylindrical shape called a parison. Accurately predicting the shape of a parison made from material of inhomogeneous viscoelasticity is a challenging issue. In this study, a numerical simulation based on process data is developed that is capable of predicting the parison shape during production. The process data (extrudate swell, drawdown, and temperature distribution) are collected from the production process and is utilized to develop a simulation model. Comparison of parison shapes extruded by production equipment against numerical simulations verifies for prediction of the distributions of the diameter and thickness of the parison shape to within ±20% of measured values, even under conditions different from those under which the data is obtained except for the data around large and fast stroke changes. The results show the possibility to predict parison shapes close to the one in production without directly solving the complex flow of inhomogeneous viscoelastic materials.
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institution Kabale University
issn 2265-4224
language English
publishDate 2025-01-01
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series Manufacturing Review
spelling doaj-art-b38f65d97b8e4445975d47ee30419d1c2025-01-16T11:27:01ZengEDP SciencesManufacturing Review2265-42242025-01-0112210.1051/mfreview/2024021mfreview240045Prediction of parison formation using process data in extrusion blow moldingTokunaga Tomohiro0https://orcid.org/0009-0006-1703-9237Kajiwara Toshihisa1Nakayama Yasuya2https://orcid.org/0000-0002-2034-2855Department of Chemical Engineering, Kyushu UniversityDepartment of Chemical Engineering, Kyushu UniversityDepartment of Chemical Engineering, Kyushu UniversityIn the extrusion process for plastic fuel tanks, laminated molten polymeric material is extruded and is molded into a hollow cylindrical shape called a parison. Accurately predicting the shape of a parison made from material of inhomogeneous viscoelasticity is a challenging issue. In this study, a numerical simulation based on process data is developed that is capable of predicting the parison shape during production. The process data (extrudate swell, drawdown, and temperature distribution) are collected from the production process and is utilized to develop a simulation model. Comparison of parison shapes extruded by production equipment against numerical simulations verifies for prediction of the distributions of the diameter and thickness of the parison shape to within ±20% of measured values, even under conditions different from those under which the data is obtained except for the data around large and fast stroke changes. The results show the possibility to predict parison shapes close to the one in production without directly solving the complex flow of inhomogeneous viscoelastic materials.https://mfr.edp-open.org/articles/mfreview/full_html/2025/01/mfreview240045/mfreview240045.htmlblow moldingparison formationfinite-element methodprocess simulation
spellingShingle Tokunaga Tomohiro
Kajiwara Toshihisa
Nakayama Yasuya
Prediction of parison formation using process data in extrusion blow molding
Manufacturing Review
blow molding
parison formation
finite-element method
process simulation
title Prediction of parison formation using process data in extrusion blow molding
title_full Prediction of parison formation using process data in extrusion blow molding
title_fullStr Prediction of parison formation using process data in extrusion blow molding
title_full_unstemmed Prediction of parison formation using process data in extrusion blow molding
title_short Prediction of parison formation using process data in extrusion blow molding
title_sort prediction of parison formation using process data in extrusion blow molding
topic blow molding
parison formation
finite-element method
process simulation
url https://mfr.edp-open.org/articles/mfreview/full_html/2025/01/mfreview240045/mfreview240045.html
work_keys_str_mv AT tokunagatomohiro predictionofparisonformationusingprocessdatainextrusionblowmolding
AT kajiwaratoshihisa predictionofparisonformationusingprocessdatainextrusionblowmolding
AT nakayamayasuya predictionofparisonformationusingprocessdatainextrusionblowmolding