Microstructure-Sensitive modeling of surface roughness and notch effects on extreme value fatigue response
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OpenAlex topics: Fatigue and fracture mechanics · High-Velocity Impact and Material Behavior · Surface Treatment and Residual Stress
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References (69)
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1. Bannantine · 1990
2. High cycle fatigue (hcf) performance of ti-6al-4v alloy processed by selective laser melting10.4028/www.scientific.net/AMR.816-817.134 ↗
3. Critical assessment of the fatigue performance of additively manufactured ti–6al–4v and perspective for future research10.1016/j.ijfatigue.2015.12.003 ↗
4. Improvement of fatigue resistance and ductility of tial6v4 processed by selective laser melting10.1016/j.jmatprotec.2015.01.025 ↗
5. On the effect of internal channels and surface roughness on the high-cycle fatigue performance of ti-6al-4v processed by slm10.1016/j.matdes.2018.01.042 ↗
6. Fatigue life of titanium alloys fabricated by additive layer manufacturing techniques for dental implants10.1007/s11661-012-1470-4 ↗
7. Application of mechanical surface finishing processes for roughness reduction and fatigue improvement of additively manufactured ti-6al-4v parts10.1016/j.ijfatigue.2017.05.008 ↗
8. Multiaxial fatigue behavior of wrought and additive manufactured ti-6al-4v including surface finish effect10.1016/j.ijfatigue.2017.03.044 ↗
9. Effect of surface roughness on fatigue performance of additive manufactured ti–6al–4v10.1179/1743284715Y.0000000053 ↗
10. 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 ↗
11. Surface topography analysis and cutting parameters optimization for peripheral milling titanium alloy ti–6al–4v10.1016/j.ijrmhm.2015.04.001 ↗
12. A comprehensive experimental study on surface integrity by end milling ti–6al–4v10.1016/j.jmatprotec.2008.09.022 ↗
13. Modelling the influence of machined surface roughness on the fatigue life of aluminium alloy10.1016/j.ijfatigue.2008.06.003 ↗
14. Surface residual stresses, surface topography and the fatigue behavior of ti-6ai-4v10.1007/BF02817635 ↗
15. The influence of shot peening on the fatigue response of ti-6al-4v surfaces subject to different machining processes10.1016/j.ijfatigue.2018.02.022 ↗
16. Degradation of titanium 6al–4v fatigue strength due to electrical discharge machining10.1016/j.ijfatigue.2014.02.018 ↗
17. Comparison of multiaxial fatigue parameters using biaxial tests of waspaloy10.1016/j.ijfatigue.2017.01.019 ↗
18. Defects in additive manufactured metals and their effect on fatigue performance: A state-of-the-art review10.1016/j.pmatsci.2020.100724 ↗
19. Influence of surface treatments on fatigue life of al 7010 alloy10.1016/j.jmatprotec.2010.06.019 ↗
20. Fatigue behavior of aw7075 aluminum alloy in ultra-high cycle fatigue region10.1016/j.msea.2020.138922 ↗
21. Effect of microstructure on ultra-high cycle fatigue behavior of ti–6al–4v10.1016/j.msea.2007.04.062 ↗
22. Fatigue performance of additively manufactured ti-6al-4v: Surface condition vs. Internal defects10.1007/s11837-020-04025-7 ↗
23. Fatigue performances of selective laser melted ti-6al-4v alloy: Influence of surface finishing, hot isostatic pressing and heat treatments10.1016/j.ijfatigue.2018.11.019 ↗
24. Duality of the s–n fatigue curve caused by competing failure modes in a titanium alloy and the role of poisson defect statistics10.1016/j.actamat.2004.12.032 ↗
25. Microstructural influences on very-high-cycle fatigue-crack initiation in ti-624610.1007/s11661-008-9633-z ↗
26. Microstructure-sensitive computational estimates of driving forces for surface versus subsurface fatigue crack formation in duplex ti-6al-4v and al 7075–t610.1007/s11837-019-03804-1 ↗
27. A computational study of the influence of surface roughness on material strength10.1007/s11012-018-0830-6 ↗
28. Polycrystal modelling of fatigue: Pre-hardening and surface roughness effects on damage initiation for 304l stainless steel10.1016/j.ijfatigue.2012.06.014 ↗
29. Surface roughness characterization for fatigue life predictions using finite element analysis10.1016/j.ijfatigue.2008.05.020 ↗
30. A gradient-based multiaxial criterion for fatigue crack initiation prediction in components with surface roughness10.1016/j.ijfatigue.2018.08.020 ↗
31. Crystal plasticity modeling of microstructure influence on fatigue crack initiation in extruded al6082-t6 with surface irregularities10.1016/j.ijfatigue.2018.01.025 ↗
32. Numerical analysis of the effect of surface roughness on mechanical fields in polycrystalline aggregates10.1088/1361-651X/aab217 ↗
33. Surface roughness influence in micromechanical fatigue lifetime prediction with crystal plasticity models for steel10.1016/j.ijfatigue.2022.106792 ↗
34. Thermomechanical contact homogenization with random rough surfaces and microscopic contact resistance10.1016/j.triboint.2010.09.011 ↗
35. Development of fatigue cracks from mechanically machined scratches on 2024–t351 aluminium alloy—part i: Experimentation and fractographic analysis10.1111/ffe.12544 ↗
36. Development of fatigue cracks from mechanically machined scratches on 2024–t351 aluminium alloy—part ii: Finite element analysis and prediction method10.1111/ffe.12545 ↗
37. Analytical fatigue life formulation for notches informed by crystal plasticity10.1016/j.ijfatigue.2022.107072 ↗
38. A new approach to estimating the fatigue notch factor of ti-6al-4v components10.1016/j.ijfatigue.2015.08.018 ↗
39. Microstructure-sensitive probabilistic modeling of hcf crack initiation and early crack growth in ni-base superalloy in100 notched components10.1016/j.ijfatigue.2011.09.014 ↗
40. Fatigue crack initiation life prediction for aluminium alloy 7075 using crystal plasticity finite element simulations10.1016/j.mechmat.2014.11.004 ↗
41. Utilizing the theory of critical distances in conjunction with crystal plasticity for low-cycle notch fatigue analysis of s960 mc high-strength steel10.1016/j.ijfatigue.2018.07.042 ↗
42. Prisms-plasticity: An open-source crystal plasticity finite element software10.1016/j.commatsci.2019.109078 ↗
43. Prisms-fatigue computational framework for fatigue analysis in polycrystalline metals and alloys10.1038/s41524-021-00506-8 ↗
44. Dream. 3d: A digital representation environment for the analysis of microstructure in 3d10.1186/2193-9772-3-5 ↗
45. Multiscale modeling of twinning and detwinning behavior of hcp polycrystals10.1016/j.ijplas.2019.102653 ↗
46. Deformation twinning and detwinning in extruded mg-4al: In-situ experiment and crystal plasticity simulation10.1016/j.ijplas.2022.103345 ↗
47. Voyiadjis · 2019
48. Sensitivity of polycrystal plasticity to slip system kinematic hardening laws for al 7075–t610.1016/j.msea.2017.01.070 ↗
49. Effects of boundary conditions on microstructure-sensitive fatigue crystal plasticity analysis10.1007/s40192-021-00219-2 ↗
50. Simulated effects of sample size and grain neighborhood on the modeling of extreme value fatigue response10.1016/j.actamat.2021.117524 ↗
51. Crystal plasticity finite element modeling of grain size and morphology effects on yield strength and extreme value fatigue response10.1016/j.jmrt.2022.06.075 ↗
52. Monte carlo calculation for electromagnetic-wave scattering from random rough surfaces10.1103/PhysRevLett.52.1798 ↗
53. D. Bergström, http://www.mysimlabs.com/surface_generation.html (accessed August, 2021).
54. Microstructure-sensitive computational multiaxial fatigue of al 7075–t6 and duplex ti-6al-4v10.1016/j.ijfatigue.2019.105460 ↗
55. Simulation-based strategies for microstructure-sensitive fatigue modeling10.1016/j.msea.2006.08.129 ↗
56. Microstructure-sensitive computational modeling of fatigue crack formation10.1016/j.ijfatigue.2010.01.003 ↗
57. Polycrystal orientation distribution effects on microslip in high cycle fatigue10.1016/S0142-1123(02)00057-9 ↗
58. A critical plane approach to multiaxial fatigue damage including out-of-phase loading10.1111/j.1460-2695.1988.tb01169.x ↗
59. Assessment of small fatigue crack growth driving forces in single crystals with and without slip bands10.1007/s10704-012-9726-y ↗
60. A geometric approach to modeling microstructurally small fatigue crack formation: I. Probabilistic simulation of constituent particle cracking in aa 7075–t65110.1088/0965-0393/16/6/065007 ↗
61. A geometric approach to modeling microstructurally small fatigue crack formation: Ii. Physically based modeling of microstructure-dependent slip localization and actuation of the crack nucleation mechanism in aa 7075–t65110.1088/0965-0393/18/4/045004 ↗
62. A geometric approach to modeling microstructurally small fatigue crack formation: Iii. Development of a semi-empirical model for nucleation10.1088/0965-0393/19/3/035008 ↗
63. Is stored energy density the primary meso-scale mechanistic driver for fatigue crack nucleation?10.1016/j.ijplas.2017.11.005 ↗
64. Fatigue hot spot simulation for two widmanstätten titanium microstructures10.1016/j.ijfatigue.2016.05.002 ↗
65. Examining metrics for fatigue life predictions of additively manufactured in718 via crystal plasticity modeling including the role of simulation volume and microstructural constraints10.1016/j.msea.2020.139312 ↗
66. Microstructure and mesh sensitivities of mesoscale surrogate driving force measures for transgranular fatigue cracks in polycrystals10.1016/j.msea.2015.05.048 ↗
67. The role of defects and critical pore size analysis in the fatigue response of additively manufactured in718 via crystal plasticity10.1016/j.matdes.2018.04.022 ↗
68. Microstructure-sensitive critical plastic strain energy density criterion for fatigue life prediction across various loading regimes
69. A probabilistic fatigue framework to enable location-specific lifing for critical thermo-mechanical engineering applications10.1007/s40192-021-00198-4 ↗