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
Key Points
The algorithm accurately predicts the compressive elastic modulus, enhancing additive manufacturing processes.
Validation with PETG and PLA materials showed a close match to theoretical models, improving reliability.
Using a novel geometric framework allowed for precise assessments of part nonlinearities and layer stiffness.
This advancement may enable better material selection and optimization in additive manufacturing for various applications.
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Mercado-Colmenero et al. (Mon,) studied this question.