Application of artificial neural network to evaluation of dimensional accuracy of 3D‐printed polylactic acid parts DOI Creative Commons

Seyhmus Gunes,

Osman Ülkir, Melih Kuncan

et al.

Journal of Polymer Science, Journal Year: 2024, Volume and Issue: 62(9), P. 1864 - 1889

Published: Jan. 23, 2024

Abstract Additive manufacturing (AM) has begun to replace traditional fabrication because of its advantages, such as easy parts with complex geometry, and mass production. The most important limitation AM is that dimensional accuracy cannot be achieved in all parts. Dimensional essential for high reliability, performance, useful final products. This study investigates the impact printing parameters on samples fabricated through fused deposition modeling (FDM), an additive method utilizing polylactic acid (PLA) material. experimental design process was performed using Taguchi methodology. ANOVA used determine parameter affecting accuracy. Based studies, optimal are determined follows: concentric infill pattern, 3 mm wall thickness, 70% density, a layer thickness 200 μm. Artificial neural network (ANN) evaluation prediction results. R ‐square ( 2 ) performance criterion above 95% from ANN value shows results significant. data acquired this may assist identifying contribute FDM method.

Language: Английский

A multi-parametric process evaluation of the mechanical response of PLA in FFF 3D printing DOI

John D. Kechagias,

Nectarios Vidakis, Markos Petousis

et al.

Materials and Manufacturing Processes, Journal Year: 2022, Volume and Issue: 38(8), P. 941 - 953

Published: June 21, 2022

Polylactic acid (PLA) material in filament form can be 3D printed and complex physical models by using a low-cost extrusion mechanism process that is broadly known as fused fabrication (FFF). Even though the PLA-FFF has been extensively studied literature, its parts' mechanical response varies significantly, it not association with six control parameters at same time, i.e. infill density (ID), raster deposition angle (RDA), nozzle temperature (NT), printing speed (PS), layer thickness (LT), bed (BT). The simultaneous influence of variable on properties challenging assignment aspires to rank parameters' importance, model process, finally validate independent experiments. One-hundred twenty-five experiments run following Taguchi L25 orthogonal array repeated five times for study purpose. After an extensive literature survey preliminary experiments, parameter selection discrete values were selected. experimental results analyzed statistical tools critically compared literature. RDA, NT, PS, ID significantly impact PLA parts.

Language: Английский

Citations

99
Direct additive manufacturing of metal parts for automotive applications DOI
Nanzhu Zhao,

Mohan Parthasarathy,

Sandeep Patil

et al.

Journal of Manufacturing Systems, Journal Year: 2023, Volume and Issue: 68, P. 368 - 375

Published: May 3, 2023

Language: Английский

Citations

71
4D printing of porous PLA-TPU structures: effect of applied deformation, loading mode and infill pattern on the shape memory performance DOI
Davood Rahmatabadi, Kianoosh Soltanmohammadi,

Mohammad Aberoumand

et al.

Physica Scripta, Journal Year: 2023, Volume and Issue: 99(2), P. 025013 - 025013

Published: Dec. 28, 2023

Abstract For the first time, synergy of shape memory polymer (SMP) blending, 4D printing, and cold programming (CP) are investigated for improving functionality effect (SME), increasing medical applications porous structures, direct programming, removing current limitations. Porous PLA-TPU structures with different printing patterns applied deformation were CPed under constrained non-constrained compression modes at room temperature recovered in rubbery phase. The fixity recovery ratios calculated cross-section morphology was examined scanning electron microscopy (SEM). values range 39.75%–71.27%, while almost complete (100%) observed all samples. Low can be justified due to existence two steps spring-back structure relaxation after unloading resulting from elastic viscoelastic behavior. glass transition blend 69 °C shifted raw materials, indicating possibility some interaction between components. SEM images showed uniform distribution TPU particles matrix-droplet blend. After droplets stretched sea-island segments.

Language: Английский

Citations

70
Fused filament fabrication parameter adjustments for sustainable 3D printing DOI

John D. Kechagias,

Dimitrios Chaidas

Materials and Manufacturing Processes, Journal Year: 2023, Volume and Issue: 38(8), P. 933 - 940

Published: Feb. 10, 2023

Sustainability denotes that energy consumption and its effects on society should also be considered at the early stages of a product idea, except for structure cost. Quality metrics fused filament fabrication (FFF) 3D printed parts as time, quality flexibility are crucial well-being production elements. This work analyses sustainability low-cost advocates good practices. By following recommended rules, viable components can produced eliminate material costs waste. It is essential to choose correct parameters prepare models will print. Careful choices must made during this pre-production phase because it determines how right sustainable final be. Of course, with experience failure prints, user becomes more flexible capable making judgments better sustainability.

Language: Английский

Citations

63
Effects of 3D-printing processing parameters on FFF parts’ porosity: outlook and trends DOI

John D. Kechagias,

Stephanos P. Zaoutsos

Materials and Manufacturing Processes, Journal Year: 2024, Volume and Issue: 39(6), P. 804 - 814

Published: Jan. 13, 2024

The filament material extrusion (ME) process manufactures functional components for a wide range of personalized applications in medicine, fashion and remanufacturing cases, or customized batch production aviation automotive industries. Therefore, structural welding parameters affect porosity during 3D printing are paramount interest concerning the parts' mechanical response to static dynamic loadings. This work aims arrange literature's experimental findings crucial processing parameters' effects on fused fabrication (FFF) part's strength. materials structure parameters, including properties, deposited strand geometry, infill rate, pattern design type orientation, part as well such flow, nozzle temperature, bed feed, environmental conditions, critically reviewed study profoundness regarding loading printed parts. Experimental studies examined, emphasizing interactions between them.

Language: Английский

Citations

55
Advanced Composite Materials Utilized in FDM/FFF 3D Printing Manufacturing Processes: The Case of Filled Filaments DOI Open Access
Antreas Kantaros, E. D. Soulis, Florian Ion Tiberiu Petrescu

et al.

Materials, Journal Year: 2023, Volume and Issue: 16(18), P. 6210 - 6210

Published: Sept. 14, 2023

The emergence of additive manufacturing technologies has brought about a significant transformation in several industries. Among these technologies, Fused Deposition Modeling/Fused Filament Fabrication (FDM/FFF) 3D printing gained prominence as rapid prototyping and small-scale production technique. potential FDM/FFF for applications that require improved mechanical, thermal, electrical properties been restricted due to the limited range materials are suitable this process. This study explores integration various reinforcements, including carbon fibers, glass nanoparticles, into polymer matrix filaments. utilization advanced reinforcing filaments led enhancement mechanical strength, stiffness, toughness 3D-printed parts comparison their pure counterparts. Furthermore, incorporation fillers facilitates thermal conductivity, flame retardancy, thereby broadening scope components. Additionally, article underscores difficulties linked with filled printing, but not filament extrusion stability, nozzle clogging, interfacial adhesion between reinforcement matrix. Ultimately, variety pragmatic implementations showcased, wherein have exhibited noteworthy benefits standard raw materials. aforementioned encompass wide industries, such aerospace, automotive, medical, electronics, tooling. possibility future progress innovative It presents plan ongoing growth application composite printing.

Language: Английский

Citations

47
3D printing with a 3D printed digital material filament for programming functional gradients DOI Creative Commons
Sang‐Joon Ahn, Howon Lee, Kyu‐Jin Cho

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: May 7, 2024

Additive manufacturing, or 3D printing attracts growing attention as a promising method for creating functionally graded materials. Fused deposition modeling (FDM) is widely available, but due to its simple process, spatial gradation of diverse properties using FDM challenging. Here, we present printed digital material filament that structured towards functional gradients, utilizing only readily available printer and filaments. The DM consists multiple base materials combined with specific concentrations distributions, which are printed. When the supplied same printer, constituent homogeneously blended during extrusion, resulting in desired final structure. This enables programming extreme variations, including mechanical strength, electrical conductivity, color, otherwise impossible achieve traditional FDMs. Our approach can be adopted any standard enabling low-cost production gradients.

Language: Английский

Citations

21
The effect of six key process control parameters on the surface roughness, dimensional accuracy, and porosity in material extrusion 3D printing of polylactic acid: Prediction models and optimization supported by robust design analysis DOI Creative Commons
Nectarios Vidakis, Constantine David, Markos Petousis

et al.

Advances in Industrial and Manufacturing Engineering, Journal Year: 2022, Volume and Issue: 5, P. 100104 - 100104

Published: Nov. 1, 2022

In the material extrusion (MEX) Additive Manufacturing (AM) technology, layer-by-layer nature of fabricated parts, induces specific features which affect their quality and may restrict operating performance. Critical indicators with distinct technological industrial impact are surface roughness, dimensional accuracy, porosity, among others. Their achieving scores can be optimized by adjusting 3D printing process parameters. The effect six (6) control parameters, i.e., raster deposition angle, infill density, nozzle temperature, bed speed, layer thickness, on aforementioned is investigated herein. Optical Microscopy, Profilometry, Micro Χ-Ray Computed Tomography were employed to investigate document these characteristics. Experimental data processed Robust Design Theory. An L25 Taguchi orthogonal array (twenty-five runs) was compiled, for parameters five levels each one them. predictive quadratic regression models then validated two additional confirmation runs, replicas each. For first time, features, as well geometrical structural characteristics in such depth (>500 GB raw experimental produced processed). A deep insight into MEX printed parts provided allowing parameters' ranking optimization. Prediction equations functions introduced herein, merit market-driven practice.

Language: Английский

Citations

69
Optimization of key quality indicators in material extrusion 3D printing of acrylonitrile butadiene styrene: The impact of critical process control parameters on the surface roughness, dimensional accuracy, and porosity DOI
Nectarios Vidakis, Constantine David, Markos Petousis

et al.

Materials Today Communications, Journal Year: 2022, Volume and Issue: 34, P. 105171 - 105171

Published: Dec. 17, 2022

Language: Английский

Citations

61
Multifunctional Material Extrusion 3D-Printed Antibacterial Polylactic Acid (PLA) with Binary Inclusions: The Effect of Cuprous Oxide and Cellulose Nanofibers DOI Creative Commons
Markos Petousis, Nectarios Vidakis, Nikolaos Mountakis

et al.

Fibers, Journal Year: 2022, Volume and Issue: 10(6), P. 52 - 52

Published: June 10, 2022

In this work, we present an effective process easily adapted in industrial environments for the development of multifunctional nanocomposites material extrusion (MEX) 3D printing (3DP). The literature is still very limited field, although interest such materials constantly increasing. Nanocomposites with binary inclusions were prepared and investigated study. Polylactic acid (PLA) was used as matrix material, cuprous oxide (Cu2O) cellulose nanofibers (CNF) nanoadditives introduced to enhance mechanical properties induce antibacterial performance. Specimens built according international standards a thermomechanical process. Tensile, flexural, impact, microhardness tests conducted. effect on thermal through thermogravimetric analysis, Raman spectroscopic analysis morphological characteristics evaluated atomic force microscopy (AFM), scanning electron (SEM), energy-dispersive X-ray (EDS) analyses. performance nanomaterials studied against Staphylococcus aureus (S. aureus) Escherichia coli (E. coli) bacteria, screening agar well diffusion method. All exhibited biocidal bacteria tested. tested PLA/1.0 CNF/0.5 Cu2O had 51.1% higher tensile strength 35.9% flexural than pure PLA material.

Language: Английский

Citations

49