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Proceedings of the International Conference on Digital Manufacturing –
                                         Volume 2

               compared with the results of reference bottles obtained through
               FEA and experimental analysis.

                  Keawjaroen & Suvanjumrat (2017)  simulated  standardised
               configuration of top load testing under elastic region and utilised
               Artificial Neural Network (ANN) to predict the maximum vertical
               deformation  of  top load while varying the curvature of master
               bottle.  Thongkaew & Naemsai (2020)  studied  the mechanical
               properties of 6L PET bottle under 4-stack layer and showed that
               reduction in bottle thickness directly effects the bottle strength,
               and thus, the overall weight, resulting in 8.7% cost  reduction.
               Similarly,  Silva de Miranda, Drummond Camera,  Monken &
               Gouvea (2011) conducted the simulations on existing preforms of
               5L carbonated soft drink bottles using Finite Element Method and
               then validated the results by fabricating the prototypes The result
               indicated  the possible weight reduction by 21% of  its original
               design. Thusneyapan & Suvanjumrat (2008) performed simulated
               drop  tests of PET bottles with various structural shapes and
               designs. The results showed that bottles with a smooth continuous
               surface and no edges at the wall have an improved sturdiness in
               resisting the impact force generated during the drop test. Hu, Sha,
               Li & Wang (2012) simulated the buckling analysis of PET bottle
               under compression load with ABAQUS and improved the original
               design by incorporating the effect of both bottle’s structure and
               wall thickness.

                  High Density Polyethylene bottles are generally manufactured
               with extrusion blow moulding, in which the cylindrical parison is
               extruded first, then transferred between two halves of the mould,
               and finally blown into  a  final product  (Béreaux, Charmeau &
               Balcaen, 2010). The uniformity of parison thickness is directly
               affected by the self-weight of the parison and it will ultimately
               influence  the thickness distribution of  the  final product  (Gao,
               2012). In order  to  achieve the uniformity of wall  thickness  of
               extrusion blow-moulded parts, a technique known as parison
               programming is utilised which allows the  variation of  parison
               thickness along the length of the parison to optimise the material
               distribution of the final product. Therefore, more material can be
               distributed  to those areas that undergoes  large deformation




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