Comparison of the bending fatigue performances of selective laser sintered  and injection moulded nylon spur gears

Pandian, A Karthik; Gautam, Sachin S.; Selvaraj, Senthilvelan

doi:10.1177/14644207211047376

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…The authors highlight the relatively poor accuracy of the tooth flank due to the low accuracy of the file and the relatively low accuracy of the PBF-LB/P process. Pandian et al (2022a) compare the flexural fatigue performance of spur gears manufactured with two types of Nylon through PBF-LB/P (using Nylon 12) and traditional plastic injection molding (IM) process (using Nylon 66). The results showed that PBF-LB/P gears have a longer flexural fatigue life in the high-cycle fatigue region than IM gears.…”

Section: Introductionmentioning

confidence: 99%

Effect of recycled powder and gear profile into the functionality of additive manufacturing polymer gears

Calignano,

Bove,

Mercurio

et al. 2023

RPJ

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Purpose Polymer laser powder bed fusion (PBF-LB/P) is an additive manufacturing technology that is sustainable due to the possibility of recycling the powder multiple times and allowing the fabrication of gears without the aid of support structures and subsequent assembly. However, there are constraints in the process that negatively affect its adoption compared to other additive technologies such as material extrusion to produce gears. This study aims to demonstrate that it is possible to overcome the problems due to the physics of the process to produce accurate mechanism. Design/methodology/approach Technological aspects such as orientation, wheel-shaft thicknesses and degree of powder recycling were examined. Furthermore, the evolving tooth profile was considered as a design parameter to provide a manufacturability map of gear-based mechanisms. Findings Results show that there are some differences in the functioning of the gear depending on the type of powder used, 100% virgin or 50% virgin and 50% recycled for five cycles. The application of a groove on a gear produced with 100% virgin powder allows the mechanism to be easily unlocked regardless of the orientation and wheel-shaft thicknesses. The application of a specific evolutionary profile independent of the diameter of the reference circle on vertically oriented gears guarantees rotation continuity while preserving the functionality of the assembled mechanism. Originality/value In the literature, there are various studies on material aging and reuse in the PBF-LB/P process, mainly focused on the powder deterioration mechanism, powder fluidity, microstructure and mechanical properties of the parts and process parameters. This study, instead, was focused on the functioning of gears, which represent one of the applications in which this technology can have great success, by analyzing the two main effects that can compromise it: recycled powder and vertical orientation during construction.

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Section: Introductionmentioning

confidence: 99%

Effect of recycled powder and gear profile into the functionality of additive manufacturing polymer gears

Calignano,

Bove,

Mercurio

et al. 2023

RPJ

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“…This problem may be addressed by improving product design 6 and by better understanding of fatigue resistance of materials produced by DMLS. 7 The AM principle of layerwise building from melted powder particles creates more inhomogeneities in the microstructure of DMLS products than it is the case with traditional technologies. 8 The fundamental importance of the inhomogeneities for mechanical properties of materials was a motivation for concern and extensive studies of materials produced by DMLS.…”

Section: Introductionmentioning

confidence: 99%

Assessing the influence of DMLS production process factors on fatigue resistance of Maraging steel MS1 in the finite life domain using ANN prediction abilities

Olmi

Bogojević

Ćirić‐Kostić

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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Analysis-of-variance (ANOVA) is a standard statistic method for assessment of the influence of various factors on fatigue resistance in the finite life domain. However, the previous research has shown that this method was not capable to determine with sufficient confidence if the build orientation, the thickness of allowance for machining, and the position in the production chamber affect fatigue resistance of Maraging steel MS1 products made by direct metal laser sintering (DMLS) technology. To contribute to a better understanding of the subject, the results of fatigue test experiments were used for training of four types of artificial neural networks (ANN) for assessment of fatigue resistance in the finite life domain. Each ANN had different structure of inputs, which corresponded to a different combination of the factors of DMLS production process. The differences between the predictive abilities of the ANN were attributed to influences of the respective factors on the fatigue resistance of the material in the finite life domain. The approach was verified by the agreement with the conclusive results of ANOVA analyses. Furthermore, in the cases when ANOVA does not lead to a clear result, the analyses of the predictive ability of the ANN strongly suggest that build orientation and thickness of allowance do not influence, while the position of a part in production chamber influences, the fatigue resistance in the finite life domain of Maraging steel MS1 produced by DMLS technology.

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Failure analysis of POM ternary nanocomposites for gear applications: Experimental and finite element study

Mohsenzadeh

Soudmand²,

Shelesh‐Nezhad³

2022

Engineering Failure Analysis

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Comparison of the bending fatigue performances of selective laser sintered and injection moulded nylon spur gears

Cited by 3 publications

References 26 publications

Effect of recycled powder and gear profile into the functionality of additive manufacturing polymer gears

Effect of recycled powder and gear profile into the functionality of additive manufacturing polymer gears

Assessing the influence of DMLS production process factors on fatigue resistance of Maraging steel MS1 in the finite life domain using ANN prediction abilities

Failure analysis of POM ternary nanocomposites for gear applications: Experimental and finite element study

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