Machine learning insight into the mean stress impact on fatigue life of additively manufactured 18Ni300 maraging steel under various multiaxial stress paths
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · Welding Techniques and Residual Stresses · Additive Manufacturing and 3D Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (45)
Show source-provided references
1. Revolutionizing manufacturing: A comprehensive overview of additive manufacturing processes, materials, developments, and challenges10.1016/j.jmapro.2023.10.024 ↗
2. Defects in additive manufactured metals and their effect on fatigue performance: A state-of-the-art review10.1016/j.pmatsci.2020.100724 ↗
3. Analysis of the effect of surface roughness on fatigue performance of powder bed fusion additive manufactured metals10.1016/j.tafmec.2020.102638 ↗
4. Fatigue performance in additively manufactured metal alloys
5. Influence of defects, surface roughness and HIP on the fatigue strength of Ti-6Al-4V manufactured by additive manufacturing10.1016/j.ijfatigue.2018.07.020 ↗
6. Multiaxial fatigue of LB-PBF additive manufactured 17–4 PH stainless steel including the effects of surface roughness and HIP treatment and comparisons with the wrought alloy10.1016/j.ijfatigue.2020.105646 ↗
7. Effect of surface roughness on fatigue performance of additive manufactured Ti–6Al–4V10.1179/1743284715Y.0000000053 ↗
8. High cycle fatigue behavior and life prediction for additively manufactured 17-4 PH stainless steel: Effect of sub-surface porosity and surface roughness10.1016/j.tafmec.2020.102477 ↗
9. Influence of surface conditions and specimen orientation on high cycle fatigue properties of Inconel 718 prepared by laser powder bed fusion10.1016/j.ijfatigue.2019.105392 ↗
10. Fatigue performance of laser additive manufactured Ti–6Al–4V in very high cycle fatigue regime up to 10^9 cycles10.3389/fmats.2015.00072 ↗
11. Low- and high-cycle fatigue resistance of Ti-6Al-4V ELI additively manufactured via selective laser melting: Mean stress and defect sensitivity10.1016/j.ijfatigue.2017.10.021 ↗
12. Correlations of fatigue strength of additively manufactured metals with hardness and defect size10.1016/j.ijfatigue.2022.106920 ↗
13. On the Effect of the Stress Ratio on Fatigue Properties of Ti-6Al-4V Produced by Laser Powder Bed Fusion10.1155/2022/3530603 ↗
14. Influence of mean stress and building orientation on the fatigue properties of sub-unital thin-strut miniaturized Ti6Al4V specimens additively manufactured via Laser-Powder Bed Fusion10.1016/j.ijfatigue.2023.108102 ↗
15. Very-high-cycle fatigue behavior of AlSi10Mg manufactured by selective laser melting: Effect of build orientation and mean stress10.1016/j.ijfatigue.2020.105696 ↗
16. High-cycle and very-high-cycle fatigue of an additively manufactured aluminium alloy under axial cycling at ultrasonic and conventional frequencies10.1016/j.ijfatigue.2024.108363 ↗
17. Fatigue strength of PBF-LB/M and wrought 316L stainless steel: effect of post-treatment and cyclic mean stress10.1111/ffe.13552 ↗
18. Directional fatigue behaviour of maraging steel grade 300 produced by laser powder bed fusion10.1016/j.ijfatigue.2021.106229 ↗
19. Energy-based critical plane fatigue methods applied to additively manufactured 18Ni300 steel10.1016/j.ijfatigue.2023.107548 ↗
20. Mean stress effect in multiaxial fatigue limit criteria10.1007/s00419-018-1421-7 ↗
21. Independence of the torsional fatigue limit upon a mean shear stress10.1016/S0142-1123(02)00174-3 ↗
22. Influence of mean stress on the multiaxial fatigue behaviour of defective materials10.1016/j.ijfatigue.2007.11.010 ↗
23. Tension–torsion high-cycle fatigue failure analysis of 2A12-T4 aluminum alloy with different stress ratios10.1016/j.ijfatigue.2010.12.007 ↗
24. A modification of Matake criterion for considering the effect of mean shear stress under high cycle fatigue loading10.1111/ffe.13458 ↗
25. Multiaxial high-cycle fatigue life prediction model considering mean shear stress effect under constant and variable amplitude loading10.1016/j.tafmec.2017.10.007 ↗
26. Key role of surface defects in the multiaxial fatigue life of additively manufactured unmachined 18Ni300 maraging steel10.1016/j.ijfatigue.2024.108319 ↗
27. Heterogeneous effect of aging temperature on the fatigue life of additively manufactured thin-walled 18Ni300 maraging steel tubular specimen10.1016/j.matdes.2023.112561 ↗
28. Accuracy analyses of fatigue life predictions for multiaxially non-proportionally stressed notched components - a database evaluation10.1016/j.ijfatigue.2022.107088 ↗
29. Modelling fatigue life prediction of additively manufactured Ti-6Al-4V samples using machine learning approach10.1016/j.ijfatigue.2022.107483 ↗
30. A fatigue life prediction approach for laser-directed energy deposition titanium alloys by using support vector regression based on pore-induced failures10.1016/j.ijfatigue.2022.106748 ↗
31. Rasmussen · 2006
32. Physics-informed Gaussian process regression model for predicting the fatigue life of welded joints10.1016/j.ijfatigue.2024.108644 ↗
33. Multiaxial fatigue prediction and uncertainty quantification based on back propagation neural network and Gaussian process regression10.1016/j.ijfatigue.2022.107361 ↗
34. Murphy KP. Machine Learning: A Probabilistic Perspective. The MIT Press; 2012. doi: 10.1007/978-94-011-3532-0_2.10.1007/978-94-011-3532-0_2 ↗
35. Application of the Gaussian process for fatigue life prediction under multiaxial loading10.1016/j.ymssp.2021.108599 ↗
36. Physics-constrained Gaussian process for life prediction under in-phase multiaxial cyclic loading with superposed static components10.1016/j.ijfatigue.2023.107776 ↗
37. Greedy function approximation: A gradient boosting machine10.1214/aos/1013203451 ↗
38. Peeking inside the black box: Visualizing statistical learning with plots of individual conditional expectation10.1080/10618600.2014.907095 ↗
39. Socie DF. Critical plane approaches for multiaxial fatigue damage assessment. American Society for Testing and Materials 1993;ASTM STP 1:7–36.10.1520/STP24793S ↗
40. Critical planes in multiaxial fatigue10.4028/www.scientific.net/MSF.482.109 ↗
41. Application of the Effective critical plane approach for the fatigue assessment of ductile cast iron under multiaxial and non-proportional loading conditions10.1016/j.ijfatigue.2024.108716 ↗
42. Crossland B. Effect of large hydrostatic pressures on the torsional fatigue strength of an alloy steel. International Conference of Fatigue of Metals, London: Institute of Mechanical Engineers; 1956, p. 138–149.
43. Dang Van · 1989 · 459
44. Long life fatigue under multiaxial loading10.1016/S0142-1123(01)00059-7 ↗
45. Comparison between defects and micro-notches in multiaxial fatigue – The size effect and the gradient effect10.1016/j.ijfatigue.2008.09.005 ↗