The paper's citation list
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1 | Advancing Sustainable Additive Manufacturing: Analyzing Parameter Influences and Machine Learning Approaches for CO2 Prediction. 2025;17:3804 doi: 10.3390/su17093804 |
2 | Exploring Process‐Structure–Property Relationships of PEKK and PEEK in Fused Filament Fabrication. 2025; doi: 10.1002/app.57347 |
3 | Mathematical and Statistical Analysis of Fused Filament Fabrication Parameters for Thermoplastic Polyurethane Parts via Response Surface Methodology. 2024;12:3146 doi: 10.3390/math12193146 |
4 | Mechanical behavior analysis of additively manufactured parts using the Taguchi method and artificial neural networks. 2025;31:794 doi: 10.1108/RPJ-07-2024-0283 |
5 | Dimensional and geometric deviation modelling for polycarbonate parts fabricated by fused filament fabrication-a machine learning approach. 2025; doi: 10.1007/s12008-025-02279-6 |
6 | Artificial Intelligence‐Augmented Additive Manufacturing: Insights on Closed‐Loop 3D Printing. 2024;6: doi: 10.1002/aisy.202400102 |
7 | Performance evaluation of 3D printed polymer heat exchangers: influence of printing temperature, printing speed and wall thickness with consideration of surface roughness. 2023;128:3627 doi: 10.1007/s00170-023-12079-5 |
8 | Experimental Measurement of the Thermal Conductivity of Fused Deposition Modeling Materials with a DTC-25 Conductivity Meter. 2023;16:7384 doi: 10.3390/ma16237384 |
9 | New Trends in Engineering Research 2024. 2024;1216:353 doi: 10.1007/978-3-031-78635-8_28 |
10 | A review on fused deposition modeling (FDM)-based additive manufacturing (AM) methods, materials and applications for flexible fabric structures. 2024;54: doi: 10.1177/15280837241282110 |
11 | Investigation of the effects of 3D printing parameters on mechanical tests of PLA parts produced by MEX 3D printing using Taguchi method. 2025;15: doi: 10.1038/s41598-025-98832-0 |
12 | Application of Additive Manufacturing in the Automobile Industry: A Mini Review. 2024;12:1101 doi: 10.3390/pr12061101 |
13 | Design and performance optimization of a cost-effective FDM 3D printer based on surface roughness and geometric errors. 2025;138:4357 doi: 10.1007/s00170-025-15760-z |
14 | Biomedical resin reinforced with Cellulose Nanofibers (CNF) in VAT photopolymerization (VPP) Additive Manufacturing (AM): The effect of filler loading and process control parameters on Critical Quality Indicators (CQIs). 2023;101:755 doi: 10.1016/j.jmapro.2023.06.018 |
15 | Experimental and Investigation of ABS Filament Process Variables on Tensile Strength Using an Artificial Neural Network and Regression Model. 2024;27:251 doi: 10.29194/NJES.27020251 |
16 | Optimization of key quality indicators in material extrusion 3D printing of acrylonitrile butadiene styrene: The impact of critical process control parameters on the surface roughness, dimensional accuracy, and porosity. 2023;34:105171 doi: 10.1016/j.mtcomm.2022.105171 |
17 | Effect of angular variation and in vitro degradation on mechanical properties of PBAT 3D scaffolds. 2024;141: doi: 10.1002/app.55454 |
18 | Progress on additive manufacturing technology of solid propellants. 2025; doi: 10.1016/j.enmf.2025.06.001 |
19 | Potential of recycled PLA in 3D printing: A review. 2024;3:100020 doi: 10.1016/j.smse.2024.100020 |
20 | 979-8-3315-3297-0 Multi-Objective Optimization of FDM-Printed Gears: A Bayesian Learning Approach to Quality and Weight Reduction; 2025; 2025 5th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);1 doi: 10.1109/IRASET64571.2025.11008200 |
21 | Optimization of FDM 3D Printer Process Parameters to Minimize Dimensional Errors with PLA Material Using Response Surface Methodology. 2024;1131:61 doi: 10.4028/p-KPk9Pb |
22 | Investigation of contour-related parameters’ effects on anisotropic mechanical properties and surface roughness of FDM-printed parts. 2025;137:381 doi: 10.1007/s00170-025-15128-3 |
