Effect of the manufacturing parameters on the tensile and fracture properties of FDM 3D-printed PLA specimens

Marșavina, Liviu; Vălean, Cristina; Marghitas, Mihai P.; Linul, Emanoil; Razavi, Seyed Mohammad Javad; Berto, Filippo; Brighenti, Roberto

doi:10.1016/j.engfracmech.2022.108766

Cited by 92 publications

(24 citation statements)

References 42 publications

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“…The FDM 3D printer "Original Prusa i3 MK3S+" from the Czech manufacturer Prusa Research was used. This 3D printer is characterised by a wide range of possible printing materials and easy handling [21] and is open to the use of materials from both OEM and other suppliers. The printing parameters, e.g.…”

Section: Methodsmentioning

confidence: 99%

Investigation of bio-based and recycled printing materials for additive manufacturing

Junk,

Vögele

2024

J. Phys.: Conf. Ser.

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Additive manufacturing (AM) processes are becoming increasingly important alongside conventional processes. As a result, the consumption of materials is also increasing. The most widespread process in polymer AM is Fused Layer Modelling (FLM). Today, the FDM process often uses synthetically produced materials based on petrochemical processes. However, there is little knowledge about which bio-based and recycled polymer materials are suitable for sustainable polymer AM. The aim of this paper is to carry out investigations of eight selected materials, which are already commercially available, to gain insights into their suitability as materials for polymer AM. These materials are divided into four categories: conventional, recycled, bio-based and fibre-reinforced thermoplastics. The evaluation model consists of a point system in which the materials are evaluated according to various weighted criteria. For technical, economic and ecological evaluation meaningful criterions were developed and applied. Based on the evaluations, three two-dimensional strength diagrams were developed, from which the results of the materials, on two of the evaluations in each case, can be read. These results are combined in a three-dimensional diagram. This representation provides the ability to make a precise selection of bio-based or recycled materials for polymer AM.

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Section: Methodsmentioning

confidence: 99%

Investigation of bio-based and recycled printing materials for additive manufacturing

Junk,

Vögele

2024

J. Phys.: Conf. Ser.

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“…The critical distance L = 4.6 mm estimated by Ahmed and Susmel 38 was also used to predict the fracture load of AM PLA single edge notch bend (SENB) specimens obtained via FDM. 47,48 A Prusa MK3 printer was used with the following printing parameters: nozzle diameter 0.4 mm, infill density 100%, nozzle temperature 220 C, bed temperature 60 C, raster angle +45 /À45 , build direction flat through the thickness, and layer thickness 0.15 mm. Three orientations were considered: 0 , 45 , and 90 .…”

Section: Notched 3d Printed Polymers: Infill Density Equal To 100%mentioning

confidence: 99%

The application of the Theory of Critical Distances to nonhomogeneous materials

Marșavina

Sapora

Susmel

et al. 2023

Fatigue Fract Eng Mat Struct

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The Theory of Critical Distances (TCD) has undoubtedly represented a breakthrough in the brittle failure assessment of engineering materials containing defects, crack, or notches. The basic idea on which the simplest formulation of the TCD is based is to evaluate an effective stress at a characteristic distance from the tip of the defect/crack/notch and compare it with an inherent fracture strength. Is the critical distance related to the material (micro) structure? Whereas a correlation was already proved for homogeneous materials, the current attention to nonhomogeneous ones has brought the question back to the fore. The goal of the present work is therefore twofold: (i) to extend the use of the TCD, through the simple yet effective Point Method (PM), for the static failure assessment of inhomogeneous materials, such as cellular, biological, and additively manufactured (AM) materials; and (ii) to look for a correlation between critical distance and internal (micro) structure.

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“…Roj et al 5 presented an approach relating the conclusions of differential scanning calorimetry to the printing quality, and discovered that the optimal printing temperature is within the range between melting and decomposition. Huang et al and Marșavina et al 6,7 researched the effect of the FDM parameters on the polymer mechanical properties for acrylonitrile‐butadiene‐styrene and polylactic acid (PLA) parts, including printing direction, building orientation, layer thickness, and so on. Dev and Srivastava 8 combined the response surface method with genetic algorithm to establish a prediction model between the process parameters and the bending strength of the part for the layer thickness, printing temperature, and printing speed parameters in FDM.…”

Section: Introductionmentioning

confidence: 99%

“…Kakaraparthi et al 24 started with the molding process of 3D printing products and analyzed the influence of filling density, support structure and other parameters on the mechanical properties of products. Marșavina et al 7 discussed in detail the influence of FDM process molding direction, printer type, layer thickness, sample thickness, and filling density, and the influence of manufacturing parameters on the tensile and fracture properties of PLA specimens was analyzed and studied. After creating the experimental plan and manufacturing samples, Bahnini et al 25 analyzed the gray relational degree and used statistical techniques such as variance analysis and signal‐to‐noise ratio analysis are used to find the optimal parameter combination for two materials that achieve the minimum at all sizes.…”

Section: Introductionmentioning

confidence: 99%

Optimization of polylactic acid 3D printing parameters based on support vector regression and cuckoo search

Yang

Xilin

Yang

et al. 2023

Polymer Engineering & Sci

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Abstract3D printing, also known as additive manufacturing (AM), is evolving from a rapid prototyping tool to a pillar of the Industry 4.0 revolution and widely used in various industries, since it can quickly and efficiently create workpieces with complex structures and integrated functions. After analyzing the 3D printing principle of fused deposition modeling (FDM), this paper proposes a deformation control‐oriented optimization method for process parameters of FDM of the polylactic acid (PLA) materials, based on support vector regression (SVR) and cuckoo search (CS). First, FDM printing principle and its main process parameters were analyzed. Two key parameters, printing temperature and printing speed, were selected for research, with the maximum shrinkage deformation as the workpiece contour accuracy index. Combining Latin Hypercube Sampling (LHS) with Finite Element Analysis (FEA), finite sample sets were generated. Second, learning from the sample data, the SVR surrogate model was built to predict the workpiece contour accuracy, and the nonlinear relationship between FDM process parameters and PLA shrinkage deformation was obtained. Finally, taking the combination of printing temperature and speed as the design variable and minimizing the maximum shrinkage deformation as the optimization objective, the FDM process parameters optimization model was established, and CS was used to search for the optimal parameters combination. Experimental comparison showed that the FEA results and SVR model in this method are correct and effective, and the PLA workpiece shrinkage deformation is smaller under the optimal parameters combination, which effectively improves the shape accuracy of FDM workpieces.Highlights Combining support vector regression (SVR) and cuckoo search (CS) can optimize polymer 3D printing process parameters. Effective finite element model was built for polymer 3D printing. SVR model established by simulation data can predict workpiece deformation. The optimal process parameters were found using CS algorithm.

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Effect of the manufacturing parameters on the tensile and fracture properties of FDM 3D-printed PLA specimens

Cited by 92 publications

References 42 publications

Investigation of bio-based and recycled printing materials for additive manufacturing

Investigation of bio-based and recycled printing materials for additive manufacturing

The application of the Theory of Critical Distances to nonhomogeneous materials

Optimization of polylactic acid 3D printing parameters based on support vector regression and cuckoo search

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