2020
DOI: 10.1016/j.matpr.2019.11.227
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Modeling and analysis of significant process parameters of FDM 3D printer using ANFIS

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Cited by 79 publications
(45 citation statements)
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“…These described printing parameters are only two of the several possible settings that can be chosen in the process. These values significantly affect the mechanical tensile, compression and flexural properties of the printed elements (Yadav et al, 2020;Yao et al, 2019). The main parameter values were set thanks the experience gained by the authors in past works about the FDM technology.…”
Section: Sandwich Draw and Productionmentioning
confidence: 99%
See 1 more Smart Citation
“…These described printing parameters are only two of the several possible settings that can be chosen in the process. These values significantly affect the mechanical tensile, compression and flexural properties of the printed elements (Yadav et al, 2020;Yao et al, 2019). The main parameter values were set thanks the experience gained by the authors in past works about the FDM technology.…”
Section: Sandwich Draw and Productionmentioning
confidence: 99%
“…Due to the intrinsically limited mechanical properties and functionalities of printed pure polymer parts, there is a critical need to develop printable polymer composites with high performances (Wang et al, 2017). The influence of some process parameters (layer height, extrusion temperature and material density) on the tensile strength of FDM 3D printed specimens was studied by Yadav et al (2020) Several materials were investigated, e.g., PETG, ABS and multi-materials including 60% ABS + 50% PETG. Several combinations of materials and process parameters were studied using the ASTM D638-(IV) standard test specimen.…”
Section: Introductionmentioning
confidence: 99%
“…However, the mechanical properties of printed pure polymeric elements remain low and there is an important necessity to develop new printed polymer composites having higher performances [24]. For these reasons, Yadav et al [25] analyzed how the main FDM parameters influenced the tensile strength of ABS, PETG and multi-materials constituted by ABS and PETG. The main investigated parameters were extrusion temperature, layer thickness and material density.…”
Section: Introductionmentioning
confidence: 99%
“…The idea of this model is to build a neural network whose outputs are a degree of the input that belongs to each class [91][92][93]. The membership functions (MFs) of this model can be nonlinear, multidimensional and, thus, different to conventional fuzzy systems [94][95][96]. In ANFIS, neural networks are used to increase the efficiency of fuzzy systems.…”
Section: Multi-layered Perceptron (Mlp)mentioning
confidence: 99%