ARTIFICIAL INTELLIGENCE 19 PETplanet Insider Vol. 26 ing and rapid prototyping using 3D-printed moulds. Results show simulation results closely align with the experimental data, with deviations under 5%. This validation process also extends to key metrics like thickness distribution and top load performance, confirming that the simulations accurately represent the final product’s mass distribution and strength characteristics. A well-validated simulation boosts predictive accuracy, enabling lightweighting and optimised performance, says BMT. It reduces material waste, shortens development cycles, and delivers both environmental and commercial benefits, proving that sustainability and performance go hand in hand. Driving the future of sustainable packaging The adoption of digital simulations and data-driven methodologies is helping the packaging industry enhance efficiency and support sustainability goals. The shift from trial-and-error testing reduces material waste, streamlines production, and minimises carbon emissions, all while maintaining product performance. BMT’s ‘Measure, Digitise, Execute’ approach supports companies to make confident, data-backed transitions to rPET and other sustainable materials, reflecting a broader industry trend toward more environmentally conscious and technically robust packaging solutions. www.bmt-ni.com Experiment Simulation Top 7.3 g 7.2 g Panel 3.9 g 4.2 g Grip 5.1 g 5.1 g Base 4.4 g 4.3 g Total 20.7 g 20.8 g Top load 162 N 159 N Figure 2: Simulation vs. experimental data comparison
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