Preform shape and operating condition optimization for the stretch blow molding process

In this work, a new design approach was developed to automatically and consecutively predict optimal preform geometry and optimal operating conditions for the stretch blow molding process. The numerical approach combines a constrained gradient‐based optimization algorithm that iterates automatically...

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Vydané v:Polymer engineering and science Ročník 47; číslo 3; s. 289 - 301
Hlavní autori: Thibault, F., Malo, A., Lanctot, B., Diraddo, R.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.03.2007
Wiley Subscription Services
Society of Plastics Engineers, Inc
Blackwell Publishing Ltd
Predmet:
Applied sciences
Blow molding
Blow moulding
Exact sciences and technology
Finite element method
Machinery and processing
Moulding
Optimization algorithms
Optimization techniques
Plastics
Polymer industry, paints, wood
Polymers
Studies
Technology of polymers
United States
Ethylene terephthalate polymer
Experimental test
Ester polymer
Theoretical study
Property processing relationship
Modeling
Optimization
Thickness
Finite element method
Hollow shape
Numerical simulation
Blow molding
Finite difference method
ISSN:0032-3888, 1548-2634
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Shrnutí:In this work, a new design approach was developed to automatically and consecutively predict optimal preform geometry and optimal operating conditions for the stretch blow molding process. The numerical approach combines a constrained gradient‐based optimization algorithm that iterates automatically over predictive finite element software. The strategy allows for targeting a specified container thickness distribution by manipulating consecutively the preform geometry (thickness and shape) and the operating parameters subject to process and design constraints. For the preform shape optimization, the preform geometry is mathematically parameterized for simplified treatment and the corresponding sensitivities are evaluated using a finite difference technique. A finite difference technique is also employed for the operating condition optimization. The constrained optimization algorithms are solved via the use of the sequential quadratic programming method that updates the design variables accordingly. Predicted optimization results obtained on an industrial case are presented and discussed to assess the validity when compared to experimental results and the robustness of the proposed approach. POLYM. ENG. SCI., 47:289–301, 2007. © 2007 Society of Plastics Engineers.
Bibliografia:ark:/67375/WNG-LF2BVGD0-S
Exclusive worldwide publication rights in the article have been transferred to Society of Plastics Engineers
istex:54F0402BBAEEBD3F0196E03090592F72F9E6C7CB
ArticleID:PEN20707
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ObjectType-Feature-1
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ISSN:0032-3888
1548-2634
DOI:10.1002/pen.20707