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Collaborative Study on Weight Optimisation of Lubricant Bottles under
Stacking Condition using Finite Element Analysis and Machine Learning
the data. Finally, different values of section’s thickness were input
to predict the value of maximum deformation and maximum von-
misses stress, which were validated against results obtained
through FEA simulations.
RESULTS AND DISCUSSION
Finite Element Modelling
The third step of the SOP consists of executing FEA analysis on
both cases; i.e. (a) and (b), and setting the result of the minimum
mass bottle as reference results for case (a) to analyse the
structural and weight optimisation.
Table 2 depicts the summarised data of converged and grid
independent results for both cases. To achieve weight
optimisation, two features—ribs and spots are added near the
bottle shoulder, acting as structural supporting elements,
depending on the possibilities of modification in the existing
mould.
It can clearly be seen from Figure 7 that the maximum
deformation and stress in both cases occur near the bottleneck and
shoulder due to the applied top load. The bottle with a mass of 72g
has exhibited a maximum deformation of 1.15 mm, while the
bottle with a mass of 54g deformed by 2.409 mm under the same
top load applied, just as in case (a). Similarly, the reduction in
bottle thickness for case (b) has indicated a significant impact on
its equivalent stress, resulting in a 38% increase in stress
compared to the maximum mass bottle. The integration of features
in case (a) provides structural support, leading to a substantial
reduction in bottle weight from 72g to 54g. Figure 7 indicates the
maximum values of deformation and equivalent stress as 2.401
mm and 18.482 MPa, respectively for the bottle with a mass of
50g. Since the value of maximum deformation is just equivalent
to the benchmark results, any further reduction in uniform wall
thickness may exceed the obtained reference results. This shows
that the 50g bottle with integration of structural reinforcement
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