The characteristic feature of FDM lies in producing finely detailed products without having post - processing intricacies. However the crux of this technology is balancing thermo-mechanically stable products with aesthetics, while minimizing costs.
An innovative additive manufacturing company sought out Polymerize to embark on the digitalisation of their extensive data, with the primary objective of optimising their process with the help of machine learning. The tailored models were able to predict experiments & optimise the properties 60% faster than conventional methodologies.
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Key Results
The fresh data points from all the iterations & predictions demonstrated reduction in error & reduction in project completion time by 55%.