ML-enabled prediction and optimization of tensile strength and surface characteristics in additively manufactured PETG components
Journal of Thermoplastic Composite Materials
Published online on March 31, 2026
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 ...
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 ...