A novel geometric predictive algorithm for assessing Compressive Elastic Modulus in MEX additive processes, based on part nonlinearities and layers stiffness,validated with PETG and PLA materials

TL;DR

This paper introduces a new predictive algorithm for estimating the compressive elastic modulus of 3D-printed plastics, validated with PETG and PLA, which considers layer stiffness and part nonlinearities, enhancing existing methods.

Contribution

The paper presents a novel predictive algorithm that estimates elastic modulus from manufacturing parameters and filament properties, applicable to complex geometries without extensive testing.

Findings

Validated with PETG and PLA materials

Accurately predicts elastic modulus across various geometries

Eliminates need for mechanical analysis software

Abstract

The paper presents an innovative methodology based on the use of a new predictive algorithm created by the researchers capable of obtaining the elastic modulus of a plastic material manufactured with MEX and its mechanical behaviour in the elastic zone under compressive loads. The predictive algorithm only needs as input the compressive elastic modulus of the isotropic plastic material filament and the manufacturing parameters of the MEX process. The smart developed algorithm calculates the stiffness of each layer considering the number of holes in the projected area. The innovative predictive algorithm has been experimentally and numerically validated using PETG Polyethylene Terephthalate Glycol material and PLA Polylactic Acid on test specimens and on a case study of variable topology. The predictive algorithm is valid for each print pattern and manufacturing direction. The new algorithm improves the existing state of the art significantly since this algorithm extends its utility to most plastic polymer materials suitable for MEX 3D printing, provided that the mechanical and elastic properties of the filament are known. Its versatility extends to complex component geometries subjected to uniaxial compression loads, eliminating the need for mechanical analysis software or expensive experimental validations.