Critical parameters influencing the quality of prototypes in fused deposition modelling

By R. Anitha, S. Arunachalam, P. Radhakrishnan. 2001

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Data for: Optimizing Process Parameters of Fused Deposition Modeling by Taguchi Method for the Fabrication of Lattice Structures (2018, neutral): “[24] used the Taguchi method to investigate layer thickness, road width and the speed deposition to minimize the surface roughness.”
A review on composite materials and process parameters optimisation for the fused deposition modelling process (2017, methodology): “…filler particle size, raster orientation (Es-Said et al. 2000, Lee and Huang 2013, Hill and Haghi 2014, Garg et al. 2016), filling velocity (Ning et al. 2016), raster angle (Chockalingam et al. 2016), road width (Anitha et al. 2001, Duigou et al. 2016) and raster gap (Mohamed et al. 2016).”
Influence of Layer Thickness and Raster Angle on the Mechanical Properties of 3D-Printed PEEK and a Comparative Mechanical Study between PEEK and ABS (2015, background): “The advantages of this technology are as follows [7]: easy material change, low maintenance costs, supervision-free operation, compact size and low working temperature [8].”
A Systematic Survey of FDM Process Parameter Optimization and Their Influence on Part Characteristics (2019, background): “[58], among layer thickness, raster width, and print speed, the layer thickness was found to be the most important parameter for surface quality.”