scholarly journals Multi-layered Scaffolds Production via Fused Deposition Modeling (FDM) Using an Open Source 3D Printer: Process Parameters Optimization for Dimensional Accuracy and Design Reproducibility

Procedia CIRP ◽  
2017 ◽  
Vol 65 ◽  
pp. 13-18 ◽  
Author(s):  
E. Ceretti ◽  
P. Ginestra ◽  
P.I. Neto ◽  
A. Fiorentino ◽  
J.V.L. Da Silva
Keyword(s):  
Open Source ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Parameters Optimization ◽  
3D Printer ◽  
Process Parameters Optimization ◽  
Fused Deposition ◽  
Deposition Modeling

Parameters Optimization of FDM for the Quality of Prototypes Using an Integrated MCDM Approach

2019 ◽  
pp. 199-220
Author(s):  
Jagadish ◽  
Sumit Bhowmik
Keyword(s):  
Process Parameters ◽  
Shell Thickness ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Parameters Optimization ◽  
Layer Height ◽  
Fused Deposition ◽  
Optimal Setting ◽  
Deposition Modeling

Fused deposition modeling (FDM) is one of the emerging rapid prototyping (RP) processes in additive manufacturing. FDM fabricates the quality prototype directly from the CAD data and is dependent on the various process parameters, hence optimization is essential. In the present chapter, process parameters of FDM process are analyzed using an integrated MCDM approach. The integrated MCDM approach consists of modified fuzzy with ANP methods. Experimentation is performed considering three process parameters, namely layer height, shell thickness, and fill density, and corresponding response parameters, namely ultimate tensile strength, dimensional accuracy, and manufacturing time are determined. Thereafter, optimization of FDM process parameters is done using proposed method. The result shows that exp.no-4 yields the optimal process parameters for FDM and provides optimal parameters as layer height of 0.08 mm, shell thickness of 2.0 mm and fill density of 100%. Also, optimal setting provides higher ultimate TS, good DA, and lesser MT as well as improving the performance and efficiency of FDM.

Comparison on Dimensional Accuracy Using a Newly Developed Nozzle for Open-Source 3D Printer

2016 ◽  
Vol 859 ◽  
pp. 15-19 ◽  
Author(s):  
Nor Aiman Sukindar ◽  
Mohd Khairol Anuar Mohd Ariffin ◽  
B.T. Hang Tuah bin Baharudin ◽  
Che Nor Aiza Jaafar ◽  
Mohd Idris Shah Ismail
Keyword(s):  
Open Source ◽  
Fused Deposition Modeling ◽  
Low Cost ◽  
Dimensional Accuracy ◽  
3D Printer ◽  
Constant Heat ◽  
New Era ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Increasing Demand

Fused Deposition Modeling (FDM) or also known as RepRap (Replicating Rapid Prototyper) is a technology that is synonym with 3D printing. This technology has entered a new era with an increasing demand among the community. It has grown commercially in the market of open-source system and it is relatively low cost. Many efforts have been put towards the development of the system in both hardware and software to increase the quality and the performance. The research highlights the development of a new nozzle to evaluate the performance on dimensional accuracy in comparison to the original nozzle. The nozzle emphasizes the die angle for the polylactic acid (PLA) material, the liquefier design which provide constant heat in the liquefier chamber, as well as insulator for the liquefier using highly insulated material. The dimensional accuracies of both nozzles were compared where the result showed that the new nozzle provided better accuracy and stability on the extruding PLA material.

scholarly journals PENENTUAN SETTING OPTIMAL MESIN 3D PRINTER BERBASIS FUSED DEPOSITION MODELING MENGGUNAKAN METODE TAGUCHI

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Anggit Prakasa ◽  
Setya Permana Sutisna ◽  
Anton Royanto Ahmad
Keyword(s):  
Experimental Design ◽  
Taguchi Method ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
High Accuracy ◽  
3D Printer ◽  
Fused Deposition ◽  
3D Printers ◽  
Optimal Setting ◽  
Deposition Modeling

<p>The 3D printers process is applied to create prototype components, but at the last 3D Printers are often applied as last products. So, high accuracy is required in this case. In this research will find the optimal<br />setting of the dimensional accuracy 3D printers based fused deposition modeling. The method used is<br />the Taguchi method, the reason for using this method its efficiency, this is because the Orthogonal<br />Array matrix requires less number of experiments than the classical experimental design. Analysis of<br />Variance is also needed in this method to see the factors that significantly influence the response<br />variable. The results of this study indicate that the factors that significantly influence is printspeed by<br />contributing 53.08%, flowrate contributes 16.4%, and temperature heater block contributes 3.85% and<br />optimal setting is temperature heater block 190º, print speed 60mm/s and flowrate 6.28 mm3/s. (A1,<br />C3 dan D2).</p>

A Study on Dimensional Accuracy of Fused Deposition Modeling (FDM) Processed Parts using Fuzzy Logic

2013 ◽  
Vol 13 (3) ◽  
pp. 183-197 ◽  
Author(s):  
Ranjeet Kumar Sahu ◽  
S.S. Mahapatra ◽  
Anoop Kumar Sood
Keyword(s):  
Experimental Data ◽  
Fuzzy Logic ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Experimental Results ◽  
Percentage Error ◽  
Fuzzy Decision Making ◽  
Fused Deposition ◽  
Deposition Modeling

AbstractFused Deposition Modeling (FDM) is an additive manufacturing technology for rapid prototyping that can build intricate parts in minimal time with least human intervention. The process parameters such as layer thickness, orientation, raster angle, raster width and air gap largely influence on dimensional accuracy of built parts which can be expressed as change in length, width and thickness. This paper presents experimental data and a fuzzy decision making logic in integration with the Taguchi method for improving the dimensional accuracy of FDM processed ABSP 400 parts. It is observed that length and width decreases but thickness shows positive deviation from desired value of the built part. Experimental results indicate that optimal factor settings for each response are different. Therefore, all the three responses are expressed in a single response index through fuzzy logic approach. The process parameters are optimized with consideration of all the performance characteristics simultaneously. Finally, an inference engine is developed to perform the inference operations on the rules for fuzzy prediction model based on Mamdani method. Experimental results are provided to confirm the effectiveness of the proposed approach. The predicted results are in good agreement with the values from the experimental data with average percentage error of less than 4.5.

Multifactor optimization of FDM process parameters for development of rapid tooling using SiC/Al2O3-reinforced LDPE filament

2018 ◽  
Vol 33 (5) ◽  
pp. 581-598 ◽  
Author(s):  
Piyush Bedi ◽  
Rupinder Singh ◽  
IPS Ahuja
Keyword(s):  
Particle Size ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Rapid Tooling ◽  
Scanning Calorimetry ◽  
Fused Deposition ◽  
Significant Process ◽  
Deposition Modeling ◽  
Sic Reinforcement

In this work, multifactor optimization of fused deposition modeling (FDM) process parameters has been reported for in-house prepared feedstock filament comprising of SiC/Al2O3 reinforced in recycled low-density polyethylene (LDPE) matrix with different particle sizes (i.e. single particle size (SPS), double particle size (DPS), and triple particle size (TPS) in different proportions). This study has been conducted on Al2O3-based DPS reinforcement in LDPE, which came out as a better solution during pilot experimentation in comparison to SPS, TPS, and SiC reinforcement, for printing of functional prototypes as rapid tooling (RT). The result of study suggests that infill angle in the FDM process is the most significant process parameter (contributing around 93%) for preparation of RT as regards dimensional accuracy and hardness is concerned. The RT so prepared is thermally stable as evident from differential scanning calorimetry analysis. Further, the photomicrographs observed in different planes suggest that, at the proposed settings, RT has a uniform distribution of reinforcement in LDPE matrix and can be gainfully used in light machining applications.

scholarly journals Design and Validation of an Open Source 3D Printer Based on Digital Ultraviolet Light Processing (DLP), for the Improvement of Traditional Artistic Casting Techniques for Microsculptures

2021 ◽  
Vol 11 (7) ◽  
pp. 3197
Author(s):  
Jose Luis Saorin ◽  
Manuel Drago Diaz-Alemán ◽  
Jorge De la Torre-Cantero ◽  
Cecile Meier ◽  
Ithaisa Pérez Conesa
Keyword(s):  
Open Source ◽  
Ultraviolet Light ◽  
Fused Deposition Modeling ◽  
Liquid Crystal Display ◽  
Low Cost ◽  
3D Printer ◽  
Digital Light Processing ◽  
Fused Deposition ◽  
3D Printers ◽  
Deposition Modeling

The adoption of open-source digital manufacturing technologies in small art workshops may improve their competitiveness. Pieces modeled by computer and made with FDM (Fused Deposition Modeling) 3D printers that use PLA (polylactic acid) can be implemented in the procedures of artistic casting. However, models printed by PLA are limited to approximate minimum sizes of 3 cm, and the optimal layer height resolution is 0.1 mm. These sizes and resolutions are not suitable for creating microsculptures used, in many cases, in jewelry. An alternative to solve this limitation, is to use a DMLS (Direct Metal Laser Sintering) 3D printer. However, due to its high cost, it is a technology that is difficult to introduce in small artistic foundries. This work detailed the design and validation of a DLP (Digital Light Processing) 3D printer, using backlit LCD (Liquid Crystal Display) screens with ultraviolet light. Its development is totally “open source” and is proposed as a kit made up of electronic components, based on Arduino and easy to access mechanical components in the market. Most parts can be manufactured in low cost FDM (Fused Deposition Modeling) 3D printers. The result is an affordable, high resolution (0.021 mm), and open-design printer that can be implemented in artistic contexts.

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