Fused deposition modelling (FDM) process parameter optimization to minimize residual stresses of 3 d printed carbon fiber nylon 12 hip joint implant

Nyiranzeyimana, Gaudence; Mutua, James; Mbuya, Thomas Ochuku; Mose, Bruno R.; BISENGIMANA, EMMANUEL

doi:10.1002/mawe.202100320

Cited by 6 publications

(4 citation statements)

References 37 publications

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“…In the production of 3D printed hip joint implants, nylon 12 seems to have a clear and important role [50,51], particularly in a carbon fibers reinforced form (Figure 6). Again, with an optimized temperature of processing of 255 °C, Nyiranzeyimana et al managed to produce FDM printed hip joint implants, using a layer thickness of 0.3 mm and print speed of 50 mm/s [52]. The final pieces possessed a tensile strength, elastic modulus, percentage elongation and compressive strength of (71±5) MPa, (7.6±0.2) GPa, (1.9±0.5)% and 135.8 MPa respectively.…”

Section: Fused Deposition Modellingmentioning

confidence: 99%

Nylons with Applications in Energy Generators, 3D Printing and Biomedicine

Arioli,

Puiggalí,

Franco

2024

Preprint

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Linear polyamides, known as nylons, are a class of synthetic polymers with a wide range of applications due to their outstanding properties, such as chemical and thermal resistance or mechanical strength. These polymers have been used in various fields: from common and domestic applications, such as socks and fishing nets, to industrial gears or water purification membranes. By their durability, flexibility and wear resistance nylons have been started to be used in addictive manufacturing technology as a good material choice to get sophisticated devices with precise and complex geometric shapes. Furthermore, the emergence of triboelectric nanogenerators and the development of biomaterials have highlighted the versatility and utility of these materials. In order to enhance the triboelectric performance and the range of applications, nylons show a potential use as tribo-positive materials. Because of the easy control of their shape they can be subsequently integrated into nanogenerators. The use of nylons has also extended into the field of biomaterials, where their biocompatibility, mechanical strength and versatility have paved the way for groundbreaking advances in medical devices as dental implants, catheters and non-absorbable surgical sutures. By means 3D bioprinting nylons have been used to develop scaffolds, joint implants and drug carriers with tailored properties for various biomedical applications. The present paper aims to collect these recently specific applications of nylons by reviewing the literature produced in the last decades, with a special focus on the newer technologies in the field of energy harvesting and biomedicine.

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Section: Fused Deposition Modellingmentioning

confidence: 99%

Nylons with Applications in Energy Generators, 3D Printing and Biomedicine

Arioli,

Puiggalí,

Franco

2024

Preprint

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“…In the production of 3D-printed hip joint implants, nylon 12 seems to have a clear and important role [ 84 , 85 ], particularly in a carbon-fiber-reinforced form ( Figure 8 ). Again, with an optimized temperature of processing of 255 °C, Nyiranzeyimana et al managed to produce FDM-printed hip joint implants, using a layer thickness of 0.3 mm and print speed of 50 mm/s [ 86 ]. The final pieces possessed a tensile strength, elastic modulus, percentage elongation and compressive strength of (71 ± 5) MPa, (7.6 ± 0.2) GPa, (1.9 ± 0.5)% and 135.8 MPa, respectively.…”

Section: Nylon As Materials For Additive Manufacturing Processesmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Nylons with Applications in Energy Generators, 3D Printing and Biomedicine

Arioli,

Puiggalí,

Franco

2024

Molecules

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Linear polyamides, known as nylons, are a class of synthetic polymers with a wide range of applications due to their outstanding properties, such as chemical and thermal resistance or mechanical strength. These polymers have been used in various fields: from common and domestic applications, such as socks and fishing nets, to industrial gears or water purification membranes. By their durability, flexibility and wear resistance, nylons are now being used in addictive manufacturing technology as a good material choice to produce sophisticated devices with precise and complex geometric shapes. Furthermore, the emergence of triboelectric nanogenerators and the development of biomaterials have highlighted the versatility and utility of these materials. Due to their ability to enhance triboelectric performance and the range of applications, nylons show a potential use as tribo-positive materials. Because of the easy control of their shape, they can be subsequently integrated into nanogenerators. The use of nylons has also extended into the field of biomaterials, where their biocompatibility, mechanical strength and versatility have paved the way for groundbreaking advances in medical devices as dental implants, catheters and non-absorbable surgical sutures. By means of 3D bioprinting, nylons have been used to develop scaffolds, joint implants and drug carriers with tailored properties for various biomedical applications. The present paper aims to collect evidence of these recently specific applications of nylons by reviewing the literature produced in recent decades, with a special focus on the newer technologies in the field of energy harvesting and biomedicine.

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“…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. Dey and Yodo 9 and Nyiranzeyimana et al 10 also improved the strength of the printed part by optimizing the process parameters in FDM. Sharma et al, 11 Abidin et al, 12 Mukhtarkhanov et al, 13 and Pulipaka et al 14 also used PLA materials to investigate the influence of layer thickness, printing temperature and surrounding pressure on the dimensional accuracy of the FDM parts, and optimized the process parameters through Taguchi method and variance analysis.…”

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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Fused deposition modelling (FDM) process parameter optimization to minimize residual stresses of 3 d printed carbon fiber nylon 12 hip joint implant

Cited by 6 publications

References 37 publications

Nylons with Applications in Energy Generators, 3D Printing and Biomedicine

Nylons with Applications in Energy Generators, 3D Printing and Biomedicine

Nylons with Applications in Energy Generators, 3D Printing and Biomedicine

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

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