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ML-enabled prediction and optimization of tensile strength and surface characteristics in additively manufactured PETG components

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Journal of Thermoplastic Composite Materials

Published online on

Abstract

Journal of Thermoplastic Composite Materials, Ahead of Print.
This work gives an in-depth discussion on prediction and optimisation of the mechanical properties of FDM-printed polyethylene terephthalate glycol (PETG) parts by applying statistical and machine learning methods. Experimentally, the influence of the ...