scholarly journals Design and Characterization of a Screw Extrusion Hot-End for Fused Deposition Modeling

Molecules ◽  
2021 ◽  
Vol 26 (3) ◽  
pp. 590
Author(s):  
Tim Feuerbach ◽  
Markus Thommes
Keyword(s):  
Vinyl Acetate ◽  
Fused Deposition Modeling ◽  
Ethylene Vinyl Acetate ◽  
Direct Printing ◽  
Fused Deposition ◽  
Screw Extrusion ◽  
Deposition Modeling ◽  
Feedstock Material ◽  
Material Form

The filament is the most widespread feedstock material form used for fused deposition modeling printers. Filaments must be manufactured with tight dimensional tolerances, both to be processable in the hot-end and to obtain printed objects of high quality. The ability to successfully feed the filament into the printer is also related to the mechanical properties of the filament, which are often insufficient for pharmaceutically relevant excipients. In the scope of this work, an 8 mm single screw hot-end was designed and characterized, which allows direct printing of materials from their powder form and does not require an intermediate filament. The capability of the hot-end to increase the range of applicable excipients to fused deposition modeling was demonstrated by processing and printing several excipients that are not suitable for fused deposition modeling in their filament forms, such as ethylene vinyl acetate and poly(1-vinylpyrrolidone-co-vinyl acetate). The conveying characteristic of the screw was investigated experimentally with all materials and was in agreement with an established model from literature. The complete design information, such as the screw geometry and the hot-end dimensions, is provided in this work.

scholarly journals Automated Testing and Characterization of Additive Manufacturing (ATCAM)

2021 ◽  
Author(s):  
Arash Alex Mazhari ◽  
Randall Ticknor ◽  
Sean Swei ◽  
Stanley Krzesniak ◽  
Mircea Teodorescu
Keyword(s):  
Additive Manufacturing ◽  
Fused Deposition Modeling ◽  
Cell System ◽  
Automated Testing ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Machine Calibration

AbstractThe sensitivity of additive manufacturing (AM) to the variability of feedstock quality, machine calibration, and accuracy drives the need for frequent characterization of fabricated objects for a robust material process. The constant testing is fiscally and logistically intensive, often requiring coupons that are manufactured and tested in independent facilities. As a step toward integrating testing and characterization into the AM process while reducing cost, we propose the automated testing and characterization of AM (ATCAM). ATCAM is configured for fused deposition modeling (FDM) and introduces the concept of dynamic coupons to generate large quantities of basic AM samples. An in situ actuator is printed on the build surface to deploy coupons through impact, which is sensed by a load cell system utilizing machine learning (ML) to correlate AM data. We test ATCAM’s ability to distinguish the quality of three PLA feedstock at differing price points by generating and comparing 3000 dynamic coupons in 10 repetitions of 100 coupon cycles per material. ATCAM correlated the quality of each feedstock and visualized fatigue of in situ actuators over each testing cycle. Three ML algorithms were then compared, with Gradient Boost regression demonstrating a 71% correlation of dynamic coupons to their parent feedstock and provided confidence for the quality of AM data ATCAM generates.

Simulation of edge quality in fused deposition modeling

2019 ◽  
Vol 25 (3) ◽  
pp. 541-554 ◽  
Author(s):  
Antonio Armillotta
Keyword(s):  
Fused Deposition Modeling ◽  
Experimental Tests ◽  
Geometric Errors ◽  
Content Type ◽  
Fused Deposition ◽  
Graphical Simulation ◽  
Deposition Modeling ◽  
Edge Quality ◽  
Input Variables

Purpose The purpose of this paper is to propose a method for simulating the profile of part edges as a result of the FDM process. Deviations from nominal edge shape are predicted as a function of the layer thickness and three characteristic angles depending on part geometry and build orientation. Design/methodology/approach Typical patterns of edge profiles were observed on sample FDM parts and interpreted as the effects of possible toolpath generation strategies. An algorithm was developed to generate edge profiles consistent with the patterns expected for any combination of input variables. Findings Experimental tests confirmed that the simulation procedure can correctly predict basic geometric properties of edge profiles such as frequency, amplitude and shape of periodic asperities. Research limitations/implications The algorithm takes into account only a subset of the error causes recognized in previous studies. Additional causes could be integrated in the simulation to improve the estimation of geometric errors. Practical implications Edge simulation may help avoid process choices that result in aesthetic and functional defects on FDM parts. Originality/value Compared to the statistical estimation of geometric errors, graphical simulation allows a more detailed characterization of edge quality and a better diagnosis of error causes.

scholarly journals Characterization of chemical contaminants generated by a desktop fused deposition modeling 3-dimensional Printer

2017 ◽  
Vol 14 (7) ◽  
pp. 540-550 ◽  
Author(s):  
Aleksandr B. Stefaniak ◽  
Ryan F. LeBouf ◽  
Jinghai Yi ◽  
Jason Ham ◽  
Timothy Nurkewicz ◽  
...  
Keyword(s):  
Fused Deposition Modeling ◽  
Chemical Contaminants ◽  
3 Dimensional ◽  
Fused Deposition ◽  
Deposition Modeling

scholarly journals Local scale fracture characterization of an advanced structured material manufactured by fused deposition modeling in 3D printing.

2019 ◽  
Vol 14 (51) ◽  
pp. 534-540 ◽  
Author(s):  
Joseph Marae Djouda ◽  
Donato Gallittelli ◽  
Marouene Zouaoui ◽  
Ali Makke ◽  
Julien Gardan ◽  
...  
Keyword(s):  
3D Printing ◽  
Fused Deposition Modeling ◽  
Local Scale ◽  
Fracture Characterization ◽  
Fused Deposition ◽  
Deposition Modeling

Development of New Composite Materials for Rapid Tooling Using Fused Deposition Modelling

2014 ◽  
Vol 808 ◽  
pp. 103-108 ◽  
Author(s):  
Harish Kumar Garg ◽  
Rupinder Singh
Keyword(s):  
Rapid Prototyping ◽  
Fused Deposition Modeling ◽  
Research Work ◽  
Rapid Tooling ◽  
Industrial Applications ◽  
Fused Deposition Modelling ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
The Impact ◽  
Feedstock Material

The impact of Rapid Prototyping (RP) on the future engineering and manufacturing will undoubtedly be widespread .It has variety of applications which include the manufacture of prototypes know as rapid prototyping, tool cores and cavities know as rapid tooling and in the manufacture of patterns for a range of casting processes known as rapid casting. In the proposed research work, fused deposition modeling (FDM) technique of RP will be used for development of a tool for direct application using Rapid tooling. The research work includes development of new hybrid feedstock filament of Fe – Nylon6 composite material for the FDM machine which will be suitable for the machine in its existing setup. The feedstock filament will have the desired mechanical thermal and rheological properties as desired for Rapid Tooling applications. The proposed feedstock material will be ferromagnetic in nature and can find wide application in industrial applications.

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