Influence of the Orientation of Steel Parts Produced by DMLS on the Fatigue Behaviour

Bogojević, Nebojša; Ćirić‐Kostić, Snežana; Vranić, Aleksandar; Olmi, Giorgio; Croccolo, Dario

doi:10.1007/978-3-030-46212-3_22

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…The specifications describe the accuracy of the testing apparatus, the testing procedure and presentation of the fatigue testing results. The standard, as well as the references, [20][21][22][23] describe also in details the shape, dimensions and preparation of the samples, which consist of two mounting heads and a gage between them. During a test, a sample rotates under a constant bending moment over the gage.…”

Section: Methodsmentioning

confidence: 99%

“…22 A comparison of the results of fatigue tests obtained for the two steel materials is presented in the literature. 23 The experimental campaign was devised using the Design-of-Experiment approach and the results were analysed using the Analysis-of-Variance (ANOVA) methodology. 24 The results of the research established the influence of post-processing procedures and their order on the fatigue resistance of the MS1 produced by DMLS, 21 as well as the influence of build orientation, post-processing procedures and their order on the fatigue resistance of the stainless steel PH1 produced by DMLS.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Methodsmentioning

confidence: 99%

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:

Self Cite

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show abstract

“…Furthermore, the TOPSIS technique is more sensitive to changes in baseline data than the SAW method, according to the findings of the MCDM sensitivity study (Dobrovolskienė & Pozniak, 2021). Bogojević et al (2020) studied on the influence of AM orientation on the fatigue behaviour of steel parts. The parts were made from Maraging Steel EOS MS1 and stainless steel EOS PH1 using direct laser metal sintering technique.…”

Section: Background Work On Additive Manufacturingmentioning

confidence: 99%

“…According to the findings, the fatigue strength of maraging steel samples is unaffected by the orientation of the structure. However, as compared to horizontal or vertical axis orientation, the fatigue strength of angled stainless steel samples is up to 20% higher (Bogojević et al, 2020). Among many research investigations, there is a gap in applying the empirical relationship by which one may estimate the dimensional deviation of the fabricated component in different orientations.…”

Section: Background Work On Additive Manufacturingmentioning

confidence: 99%

Estimation of Dimensional Deviation of Parts Printed in Different Orientations on Multi Jet Printer

Chand,

Gupta

2024

Prabha Materials Science Letters

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The study was primarily concerned with the dimensional deviation for the part produced in the various alignments A, B, C, & D and selecting the orientation or alignments through the least dimensional deviation. In this work, the part is lying on the base (A), the long edge (B), and the short edge (C), and the part is inclined at 45 degrees (D) to the surface of the base plate. Created the components in a variety of orientations using a multi-jet printer. Further, using experimental data (change in length, width, height and diameter), the model has been developed with a regression-based imperial connection to predict the behavior of MultiJet-three-dimensional (MJP-3D) printed components in various orientations. Because the goal was to anticipate the optimum orientation, the Graph Theory and Matrix Approach Method (GTMA) were utilized towards discover the best orientation. In contrast to other orientations, orientation C is determined to be the optimum manufacturing orientation with the least dimensional variation.

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Experimental study of a novel layer deposition technique and its effect on anisotropic behavior of wire arc additively manufactured steel parts

et al. 2021

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Influence of the Orientation of Steel Parts Produced by DMLS on the Fatigue Behaviour

Cited by 4 publications

References 11 publications

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

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

Estimation of Dimensional Deviation of Parts Printed in Different Orientations on Multi Jet Printer

Experimental study of a novel layer deposition technique and its effect on anisotropic behavior of wire arc additively manufactured steel parts

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