Experiment Study on Effects of Critical Factors on Quality of Prototypes in Fused Deposition Modeling

2012 ◽  
Vol 535-537 ◽  
pp. 73-76
Author(s):  
An Hua Peng
Keyword(s):  
Surface Quality ◽  
Line Width ◽  
Fused Deposition Modeling ◽  
Critical Factors ◽  
Experiment Study ◽  
Fused Deposition ◽  
Processing Program ◽  
Deposition Modeling ◽  
Filling Line

This paper presents an experiment investigation on the effects on the surface quality and strength of a model in FDM, of critical factors including stratification parameters, build orientation, brace structure, auxiliary brace, and defects in STL files. With experiments using MEM-300, the conclusions can be drawn that, no matter what the number of interval is, greater filling line width always easily lead to poor surface quality, and that when the demands on surface quality and strength conflict one another, the demands on the both must first be balanced to obtain the better economical processing program.

scholarly journals Analysis of the surface quality of polycaprolactam 3D prints enriched with carbon and glass fiber

2021 ◽  
Vol 338 ◽  
pp. 01005
Author(s):  
Damian Dzienniak ◽  
Jan Pawlik
Keyword(s):  
Glass Fiber ◽  
Surface Quality ◽  
Fused Deposition Modeling ◽  
Polyamide 6 ◽  
Fiber Glass ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
The Impact ◽  
The Relationship

Additive manufacturing has been gaining popularity and availability year by year, which has resulted in its dynamic development. The most common 3D printing method as of today, FDM (Fused Deposition Modeling), owing to its peculiarity, does not always guarantee producing objects with low surface roughness. The authors of the present article have taken on the analysis of the impact of FDM printing on the roughness of the filament thus processed. They also investigate the relationship between the roughness of the unprocessed filament (made of polycaprolactam, that is, polyamide 6 or PA6) with admixtures of other materials (carbon fiber, glass fiber) and the surface quality of the manufactured object. The main subject of the analysis is the side surfaces of 3D prints, as it is their quality that is usually directly dependent on many factors connected with the process of the laying of the consecutive layers. The authors check step by step whether there exists a pronounced relationship between the roughness of the original filament material and the roughness of the obtained surface.

On improving the surface finish of 3D printing polylactic acid parts by corundum blasting

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ana Pilar Valerga Puerta ◽  
J.D. Lopez-Castro ◽  
Adrián Ojeda López ◽  
Severo Raúl Fernández Vidal
Keyword(s):  
Layer Thickness ◽  
Polylactic Acid ◽  
Surface Quality ◽  
Fused Deposition Modeling ◽  
Fused Filament Fabrication ◽  
High Exposure ◽  
Content Type ◽  
Fused Deposition ◽  
Deposition Modeling

Purpose Fused filament fabrication or fused deposition modeling (FFF/FDM) has as one of its main restrictions the surface quality intrinsic to the process, especially linked to the layer thickness used during manufacture. The purpose of this paper is to study the possibility of improving the surface quality of polylactic acid (PLA) parts manufactured by FFF using the shot blasting technique. Design/methodology/approach The influence of corundum blasting on 0.2 mm layer thickness FDM PLA parts treated with two sizes of abrasive, different exposure times and different incidence pressures. Findings As a result, improvements of almost 80% were obtained in the surface roughness of the pieces with high exposure times, and more than 50% in just 20 s. Originality/value This technique is cheap, versatile and adaptable to different part sizes and geometries. Furthermore, it is a fast and environmentally friendly technique compared to conventional machining or vapor smoothing. Despite this, no previous studies have been carried out to improve the quality of this technology.

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.

Experimental study on the accuracy and surface quality of printed versus machined holes in PEI Ultem 9085 FDM specimens

2021 ◽  
Vol 27 (11) ◽  
pp. 1-12
Author(s):  
Giovanni Gómez-Gras ◽  
Marco A. Pérez ◽  
Jorge Fábregas-Moreno ◽  
Guillermo Reyes-Pozo
Keyword(s):  
Surface Quality ◽  
Fused Deposition Modeling ◽  
Three Dimensional ◽  
Dimensional Accuracy ◽  
Technological Parameters ◽  
Content Type ◽  
Fused Deposition ◽  
Comparison Of The Results ◽  
Through Hole

Purpose This paper aims to investigate the quality of printed surfaces and manufacturing tolerances by comparing the cylindrical cavities machined in parts obtained by fused deposition modeling (FDM) with the holes manufactured during the printing process itself. The comparison focuses on the results of roughness and tolerances, intending to obtain practical references when making assemblies. Design/methodology/approach The experimental approach focuses on the comparison of the results of roughness and tolerances of two manufacturing strategies: geometric volumes with a through-hole and the through-hole machined in volumes that were initially printed without the hole. Throughout the study, both alternates are explained to make appropriate recommendations. Findings The study shows the best combinations of technological parameters, both machining and three-dimensional printing, which have been decisive for obtaining successful results. These conclusive results allow enunciating recommendations for use in the industrial environment. Originality/value This paper fulfills an identified need to study the dimensional accuracy of the geometries obtained by additive manufacturing, as no experimental evidence has been found of studies that directly address the problem of the FDM-printed part with geometric and dimensional tolerances and desirable surface quality for assembly.

Investigation of Recycled Acrylonitrile Butadiene Styrene for Additive Manufacturing

2020 ◽  
pp. 130-154
Author(s):  
Shajahan Bin Maidin ◽  
Zulkeflee Abdullah ◽  
Ting Kung Hieng
Keyword(s):  
Mechanical Properties ◽  
Test Specimen ◽  
Fused Deposition Modeling ◽  
Acrylonitrile Butadiene Styrene ◽  
Travel Speed ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Printing Processes ◽  
Butadiene Styrene

One of the disadvantages of fused deposition modeling (FDM) is waste produced during the printing processes. This investigation focuses on using 100% recycled Acrylonitrile Butadiene Styrene (ABS) for the FDM process. The recycling begins with re-granule the waste ABS material and produces it into a new filament. The new recycled filament was used to print the test specimen. Investigation on the mechanical properties and the surface quality of the test specimen and comparison with standard ABS specimen was done. The result shows that the recycled ABS can be produced into filament with 335°C of extrusion temperature and 1.5 mm/s travel speed of the extruder conveyor. The surface roughness of recycled specimen is 6.94% higher than the standard ABS specimen. For ultimate tensile strength, there is a small difference in X and Y orientation between the standard and the recycled ABS specimen which are 22.93% and 19.98%, respectively. However, in Z orientation, it is 52.33% lower. This investigation proves that ABS can be recycled without significantly affecting its mechanical properties.

scholarly journals Parameters Influencing the Outcome of Additive Manufacturing of Tiny Medical Devices Based on PEEK

Materials ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 466 ◽  
Author(s):  
Yiqiao Wang ◽  
Wolf-Dieter Müller ◽  
Adam Rumjahn ◽  
Andreas Schwitalla
Keyword(s):  
Medical Devices ◽  
Fused Deposition Modeling ◽  
High Accuracy ◽  
Design Parameters ◽  
Fused Deposition ◽  
Polyether Ether Ketone ◽  
Deposition Modeling ◽  
3D Printed ◽  
Ether Ketone

In this review, we discuss the parameters of fused deposition modeling (FDM) technology used in finished parts made from polyether ether ketone (PEEK) and also the possibility of printing small PEEK parts. The published articles reporting on 3D printed PEEK implants were obtained using PubMed and search engines such as Google Scholar including references cited therein. The results indicate that although many have been experiments conducted on PEEK 3D printing, the consensus on a suitable printing parameter combination has not been reached and optimized parameters for printing worth pursuing. The printing of reproducible tiny-sized PEEK parts with high accuracy has proved to be possible in our experiments. Understanding the relationships among material properties, design parameters, and the ultimate performance of finished objects will be the basis for further improvement of the quality of 3D printed medical devices based on PEEK and to expand the polymers applications.

Parallel non-dominated sorting genetic algorithm-II for optimal part deposition orientation in additive manufacturing based on functional features

2017 ◽  
Vol 232 (19) ◽  
pp. 3384-3395 ◽  
Author(s):  
Renkai Huang ◽  
Ning Dai ◽  
Dawei Li ◽  
Xiaosheng Cheng ◽  
Hao Liu ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Additive Manufacturing ◽  
Surface Quality ◽  
Surface Finish ◽  
Fused Deposition Modeling ◽  
Fused Deposition ◽  
Industrial Grade ◽  
Build Time ◽  
Functional Features

Surface finish, especially the surface finish of functional features, and build time are two important concerns in additive manufacturing. A suitable part deposition orientation can enhance the surface quality of functional features and reduce the build time. This article proposes a novel method to obtain an optimum part deposition orientation for industrial-grade 3D printing based on fused deposition modeling process by considering two objective functions at a time, namely adaptive feature roughness (the weighted sum of all feature roughnesses) and build time. First, mesh segmentation and level classification of features are carried out. Then, models for evaluation of adaptive feature roughness and build time are established. Finally, a non-dominated sorting genetic algorithm-II based on Compute Unified Device Architecture is used to obtain the Pareto-optimal set. The feasible of the algorithm is evaluated on several examples. Results demonstrate that the proposed parallel algorithm obtains a limiting solution that enhances the surface quality of functional features significantly and reduces average running time by 94.8% compared with the traditional genetic algorithm.

scholarly journals Experimental investigation using vibration testing method to optimize feed parameters of color mixing nozzle for fused deposition modeling color 3D printer

2019 ◽  
Vol 11 (12) ◽  
pp. 168781401989619 ◽  
Author(s):  
Zhiyong Li ◽  
Dawei Zhang ◽  
Liangchen Shao ◽  
Shanling Han
Keyword(s):  
Fused Deposition Modeling ◽  
Vertical Vibration ◽  
Feed Speed ◽  
3D Printer ◽  
Feed Material ◽  
Fused Deposition ◽  
Printing Quality ◽  
Deposition Modeling ◽  
Color Mixing

To improve the blockage and printing quality of the color mixing nozzle of fused deposition modeling color 3D printer, the feed parameters of fused deposition modeling color 3D printer were studied by vibration test. The acceleration sensor was fixed up the color mixing nozzle to analyze the vertical vibration of the nozzle. The vibration test of different feed speed, torque, and material were performed under the actual printing condition. Vertical vibration of the nozzle was characterized by an acceleration sensor. The comparative analysis of the actual testing results indicates that the optimum feed parameters are feed torque of triple torque extruder, feed speed of 20 mm/s, and feed material of ABS. Further analysis shows that higher feed torque can be used to improve the printing quality of the color mixing nozzle. The appropriate feed speed of the color 3D printer can not only reduce the accumulation of wire material at a lower speed but also reduce the blockage caused by too-high feed speed. It is proposed that the feed material with smaller flow behavior index and no phase transition in the melting process shows smaller vibration acceleration amplitude.

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