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An investigation of the effects of ironing parameters on the surface and compression properties of material extrusion components utilizing a hybrid-modeling experimental approach
Modeling and Prediction of Surface Roughness in Hybrid Manufacturing–Milling after FDM Using Artificial Neural Networks
Strahinja Djurović, Dragan Lazarević, Bogdan Ćirković, Milan Mišić, Milan Ivković, Bojan Stojčetović, Martina Petković and Aleksandar Ašonja Applied Sciences 14(14) 5980 (2024) https://doi.org/10.3390/app14145980
Prediction surface roughness of 3D printed parts using genetic algorithm optimized hybrid learning model
Toward data-driven research: preliminary study to predict surface roughness in material extrusion using previously published data with machine learning
Fátima García-Martínez, Diego Carou, Francisco de Arriba-Pérez and Silvia García-Méndez Rapid Prototyping Journal 29(8) 1640 (2023) https://doi.org/10.1108/RPJ-01-2023-0028
Application of Artificial Intelligence for Surface Roughness Prediction of Additively Manufactured Components