2013
DOI: 10.1016/j.proeng.2013.08.230
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Comparative between FEM Models for FDM Parts and their Approach to a Real Mechanical Behaviour

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Cited by 59 publications
(33 citation statements)
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“…Sood et al [80] have developed a semi-empirical methodology using neural network algorithms to develop a model that would predict the compressive strength of FDM built parts. Martinez et al [77] have used a methodology usually applied to fibrous composite materials for the characterization of parts built by FDM using FEA. Anitha et al [58] focused on optimizing the FDM process surface quality.…”
Section: Extrusion Processesmentioning
confidence: 99%
“…Sood et al [80] have developed a semi-empirical methodology using neural network algorithms to develop a model that would predict the compressive strength of FDM built parts. Martinez et al [77] have used a methodology usually applied to fibrous composite materials for the characterization of parts built by FDM using FEA. Anitha et al [58] focused on optimizing the FDM process surface quality.…”
Section: Extrusion Processesmentioning
confidence: 99%
“…Accordingly, finite element method (FEM) is used to overcome this deficiency by predicting the mechanical response of FDM parts before fabrication (Martínez et al, 2013) causing the reduction of the final fabrication cost by decreasing the required experimental measurements (Liu and Zheng, 2010). Also, if the mechanical behavior of bulk material of tissue scaffolds are identified, then with the assistance of FEM, it is possible to predict the behavior of complex formations such as mechanical response at microscopic level during the cell differentiation (Sahai et al, 2016).…”
Section: Figure 1 Schematic Diagram Of the Fdm Machinementioning
confidence: 99%
“…Studies relating to vibrations in printer system have been relatively few and that there is no study focusing on the effects of vibration on product surface roughness. Several studies [12][13][14] carried out on vibration analysis for quantifying the printing parameter effects on the structural characteristics of fabricated products. Also, a study [15] presents vibration data obtained from printer table in terms of impact of mechanical behaviors on fabrication quality.…”
Section: Introductionmentioning
confidence: 99%