Investigating the effect of fused deposition modeling processing parameters using Taguchi design of experiment method

2018 ◽  
Vol 36 ◽  
pp. 164-174 ◽  
Author(s):  
Ala’aldin Alafaghani ◽  
Ala Qattawi
Keyword(s):  
Design Of Experiment ◽  
Fused Deposition Modeling ◽  
Processing Parameters ◽  
Taguchi Design ◽  
Fused Deposition ◽  
Taguchi Design Of Experiment ◽  
Experiment Method ◽  
Deposition Modeling

Assessing the effect of FDM processing parameters on mechanical properties of PLA parts using Taguchi method

2021 ◽  
pp. 089270572110530
Author(s):  
Nagarjuna Maguluri ◽  
Gamini Suresh ◽  
K Venkata Rao
Keyword(s):  
Mechanical Properties ◽  
Tensile Properties ◽  
Fused Deposition Modeling ◽  
Fracture Strain ◽  
Processing Parameters ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Nozzle Temperature ◽  
Experimental Runs ◽  
Printing Speed

Fused deposition modeling (FDM) is a fast-expanding additive manufacturing technique for fabricating various polymer components in engineering and medical applications. The mechanical properties of components printed with the FDM method are influenced by several process parameters. In the current work, the influence of nozzle temperature, infill density, and printing speed on the tensile properties of specimens printed using polylactic acid (PLA) filament was investigated. With an objective to achieve better tensile properties including elastic modulus, tensile strength, and fracture strain; Taguchi L8 array has been used for framing experimental runs, and eight experiments were conducted. The results demonstrate that the nozzle temperature significantly influences the tensile properties of the FDM printed PLA products followed by infill density. The optimum processing parameters were determined for the FDM printed PLA material at a nozzle temperature of 220°C, infill density of 100%, and printing speed of 20 mm/s.

Modeling Machine Motion and Process Parameter Errors for Improving Dimensional Accuracy of Fused Deposition Modeling Machines

2018 ◽  
Vol 140 (12) ◽  
Author(s):  
Jiaqi Lyu ◽  
Souran Manoochehri
Keyword(s):  
Computer Aided Design ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Error Model ◽  
Fused Deposition ◽  
Model Combining ◽  
Before And After ◽  
Deposition Modeling ◽  
Integrated Error

The dimensional accuracy of fused deposition modeling (FDM) machines is dependent on errors caused by processing parameters and machine motions. In this study, an integrated error model combining these effects is developed. Extruder temperature, layer thickness, and infill density are selected as parameters of this study for three FDM machines, namely, Flashforge Finder, Ultimaker 2 go, and XYZ da Vinci 2.0 Duo. Experiments have been conducted using Taguchi method and the interactions between processing parameters are analyzed. Based on the dimensional deviations between fabricated parts and the computer aided design (CAD) geometry, a set of coefficients for the integrated error model are calculated to characterize each machine. Based on the results of the integrated error model, the original CAD geometry is optimized for fabrication accuracy on each machine. New parts are fabricated using the optimized CAD geometries. Through comparing the dimensional deviations of parts fabricated before and after optimization, the effectiveness of the integrated error model is analyzed and demonstrated for the three FDM machines.

scholarly journals Fused deposition modeling of poly(ether ether ketone) scaffolds

2021 ◽  
Vol 40 (1) ◽  
pp. 1-11
Author(s):  
Xiaohui Song ◽  
Dengwen Shi ◽  
Pinghui Song ◽  
Xingguo Han ◽  
Qingsong Wei ◽  
...  
Keyword(s):  
Fused Deposition Modeling ◽  
Processing Parameters ◽  
Compressive Yield Strength ◽  
Fused Deposition ◽  
Human Bones ◽  
Ether Ether Ketone ◽  
Poly Ether Ether Ketone ◽  
Deposition Modeling ◽  
Ether Ketone ◽  
Scanning Electron

Abstract In this paper, poly(ether ether ketone) (PEEK) scaffold was manufactured using the fused deposition modeling (FDM) technology with a modified platform. The effect of processing parameters of FDM on the porosity and compressive strength of PEEK scaffold with uniform pores (0.8 mm of diameter) was optimized through Taguchi methodology. With the determined parameters, four kinds of PEEK scaffolds with gradient pores (0.4–0.8 mm, 0.6–1.0 mm, 0.8–1.2 mm, and 1.2–2.0 mm) were manufactured. The scaffolds were investigated using scanning electron microscopy. The results showed that the pores of scaffolds were interconnected with rough surface, which can allow the attachment, migration, and differentiation of cells for bone forming. The tensile strength, compressive max strength, and compressive yield strength of scaffolds were between 18 and 35 MPa, 197.83 and 370.42 MPa, and 26 and 36 MPa, respectively. The mechanical properties of the scaffolds can satisfy the loading requirements of human bones. Therefore, the PEEK scaffolds have a potential to be used in tissue engineering as implants.

Direct Simulation of Polymer Fused Deposition Modeling (FDM) — An Implementation of the Multi-Phase Viscoelastic Solver in OpenFOAM

2019 ◽  
Vol 17 (01) ◽  
pp. 1844002 ◽  
Author(s):  
Jun Liu ◽  
Kelly L. Anderson ◽  
N. Sridhar
Keyword(s):  
Fused Deposition Modeling ◽  
Processing Parameters ◽  
Final Part ◽  
Print Quality ◽  
Layer By Layer ◽  
Processing Conditions ◽  
Part Quality ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Multi Phase

Among the many mature and commercial AM technologies, fused deposition modeling (FDM) is a popular technology commonly used for modeling, prototyping, and production applications. In this process, a filament thermoplastic material is fed into a liquefier chamber, melted to a liquid state, and deposited layer by layer through a nozzle to form the 3D part. As a result, part can be designed in a more freedom way, and fabricated quickly and rapidly to a desired shape. However, different combination of processing parameters may influence the final part quality greatly, which hinders wider application of this technique. In order to investigate the influence of processing parameters on the final part quality, a viscoelastic multi-phase solver is developed, with capability for dynamic meshing and based on OpenFOAM. The solver directly simulates the deposition process of FDM. By implementing this solver for different boundary conditions and geometry, we can evaluate the printed part quality for varied processing conditions. More importantly, the tool enables efficient optimization of the processing conditions for specified material parameters and desired print quality.

scholarly journals FDM 3D Printing of Polymers Containing Natural Fillers: A Review of their Mechanical Properties

Polymers ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1094 ◽  
Author(s):  
Valentina Mazzanti ◽  
Lorenzo Malagutti ◽  
Francesco Mollica
Keyword(s):  
Mechanical Properties ◽  
3D Printing ◽  
Fused Deposition Modeling ◽  
Natural Fibers ◽  
Acrylonitrile Butadiene Styrene ◽  
Processing Parameters ◽  
Fused Deposition ◽  
Additive Formulation ◽  
Deposition Modeling ◽  
3D Printed

As biodegradable thermoplastics are more and more penetrating the market of filaments for fused deposition modeling (FDM) 3D printing, fillers in the form of natural fibers are convenient: They have the clear advantage of reducing cost, yet retaining the filament biodegradability characteristics. In plastics that are processed through standard techniques (e.g., extrusion or injection molding), natural fibers have a mild reinforcing function, improving stiffness and strength, it is thus interesting to evaluate whether the same holds true also in the case of FDM produced components. The results analyzed in this review show that the mechanical properties of the most common materials, i.e., acrylonitrile-butadiene-styrene (ABS) and PLA, do not benefit from biofillers, while other less widely used polymers, such as the polyolefins, are found to become more performant. Much research has been devoted to studying the effect of additive formulation and processing parameters on the mechanical properties of biofilled 3D printed specimens. The results look promising due to the relevant number of articles published in this field in the last few years. This notwithstanding, not all aspects have been explored and more could potentially be obtained through modifications of the usual FDM techniques and the devices that have been used so far.

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