Development of a numerical optimisation method for blowing glass parison shapes

J.A.W.M. Groot, C.G. Giannopapa, R.M.M. Mattheij

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
1 Downloads (Pure)


Industrial glass blowing is an essential stage of manufacturing glass containers, i.e. bottles or jars. An initial glass preform is brought into a mould and subsequently blown into the mould shape. Over the last few decades, a wide range of numerical models for forward glass blow process simulation have been developed. A considerable challenge is the inverse problem: to determine an optimal preform from the desired container shape. A simulation model for blowing glass containers based on finite element methods has previously been developed [14,15]. This model uses level set methods to track the glass-air interfaces. The model described in a previous paper of the authors showed how to perform the forward computation of a final bottle from the given initial preform without using optimisation. This paper introduces a method to optimise the shape of the preform combined with the existing simulation model. In particular, the new optimisation method presented aims at minimising the error in the level set representing the glass-air interfaces of the desired container. The number of parameters used for the optimisation is restricted to a number of control points for describing the interfaces of the preform by parametric curves, from which the preform level set function can be reconstructed. Numerical applications used for the preform optimisation method presented are the blowing of an axi-symmetrical ellipsoidal container and an axi-symmetrical jar.
Original languageEnglish
Title of host publicationProceedings 2008 ASME Pressure Vessels and Piping Division Conference (PVP 2008, Chicago IL, USA, July 27-31, 2008)
PublisherAmerican Society of Mechanical Engineers
PagesPVP 2008-61336-1/10
ISBN (Print)978-0-7918-4827-2
Publication statusPublished - 2008


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