Porosity Examination of Additive Manufactured Parts and Effects of Infill Parameters

Author:

Bodur Osman,Walcher Eva M.,Sterca Alexandru,Sulz Clemens,Calin Roxana-Anamaria,Durakbasa Numan M.,Bleicher Friedrich

Publisher

Elsevier BV

Subject

General Medicine

Reference22 articles.

1. Precision in Additive Manufacturing, Optimization and Evaluation of the Accuracy of 3D Printer based on GPS System;Bodur,2020

2. Sterca, A.D. et al. (2022). Evaluation of Fused Deposition Modeling Process Parameters Influence on 3D Printed Components by High Precision Metrology. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Digitizing Production Systems. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90421-0_24

3. Feasibility of Predictive Models for the Quality of Additive Manufactured Components Based on Artificial Neural Networks;Grozav;Machines,2022

4. "Quantifying Geometric Accuracy With Unsupervised Machine Learning: Using Self-Organizing Map on Fused Filament Fabrication Additive Manufacturing Parts.";Khanzadeh;ASME. J. Manuf. Sci. Eng.,2018

5. Challenges of Miniaturizing a Precision Gear;Durakbasa,2019

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