journal article·2023-11-16Open access

Statistical Homogenization of Elastic and Fracture Properties of a Sample Selective Laser Melting Material

Ryan P. Connor, Balavignesh Vemparala, Reza Abedi, Giang Huynh, Soheil Soghrati, Chris T. Feldmeier, Kevin Lamb

Applied Sciences· Volume 13· Issue 22

Abstract

Selective laser melting (SLM) is an additive manufacturing technique commonly used in the rapid prototyping of components. The complexity of the SLM microstructure poses a unique challenge to deriving effective mechanical properties at different length scales. Representative volume elements (RVEs) are often used to homogenize the material properties of composites. Instead of RVEs, we use statistical volume elements (SVEs) to homogenize the elastic and fracture properties of the material. This relates the inherent variation of a material’s microstructure to the variation in its mechanical properties at different observation scales. The convergence to the RVE limit is examined from two perspectives: the stability of the mean value as the SVE size increases for the mean-based approach, and the tendency of the normalized variation in homogenized properties to zero as the SVE size increases for the variation-based approach. Fracture properties tend to make the RVE limit slower than do elastic properties from both perspectives. There are also differences between vertical (normal to printing plane) and horizontal (in-plane) properties. While the elastic properties tend to make the RVE limit faster for the horizontal direction, i.e., having a smaller variation and more stable mean value, the fracture properties exhibit the opposite effect. We attributed these differences to the geometry of the melt pools.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Manufacturing Process and Optimization · Composite Material Mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Mechanical, Aerospace, and Biomedical Engineering Department, University of Tennessee, Knoxville, TN 37996, USA

Mechanical and Aerospace Engineering, Ohio State University, Columbus, OH 43210, USA

Consolidated Nuclear Security (CNS), LLC, Y-12 National Security Complex, Mechanical, Controls, & System Engineering, Knoxville, TN 37902, USA

Funding

Southeastern Advanced Machine Tools Network (SEAMTN)

References (53)

Show source-provided references
1. The influence of the laser scan strategy on grain structure and cracking behaviour in SLM powder-bed fabricated nickel superalloy10.1016/j.jallcom.2014.06.172 ↗
2. Microstructure and tensile properties of selectively laser-melted and of HIPed laser-melted Ti–6Al–4V10.1016/j.msea.2013.04.099 ↗
3. Comprehensive investigation of residual stress in selective laser melting based on cohesive zone model10.1016/j.mtcomm.2022.103283 ↗
4. Effect of laser power on defect, texture, and microstructure of a laser powder bed fusion processed 316 L stainless steel10.1016/j.matdes.2018.12.006 ↗
5. Micromechanics modeling of metallic alloys 3D printed by selective laser melting10.1016/j.matdes.2017.10.026 ↗
6. Damage modeling of metallic alloys made by additive manufacturing10.1016/j.msea.2018.11.125 ↗
7. Effect of molten pool boundaries on the mechanical properties of selective laser melting parts10.1016/j.jmatprotec.2014.06.002 ↗
8. Macroscopic simulation and experimental measurement of melt pool characteristics in selective electron beam melting of Ti-6Al-4V10.1007/s00170-016-8819-6 ↗
9. A modular framework to obtain representative microstructural cells of additively manufactured parts10.1016/j.jmrt.2022.08.110 ↗
10. Effect of printing direction and thickness on the mechanical behavior of SLM fabricated Hastelloy-X10.1016/j.ijplas.2022.103250 ↗
11. A crystal plasticity approach to understand fatigue response with respect to pores in additive manufactured aluminum alloys10.1016/j.ijfatigue.2022.106917 ↗
12. Effect of hatch space on morphology and tensile property of laser powder bed fusion of Ti6Al4V10.1016/j.optlastec.2022.107929 ↗
13. Effect of scanning speed and laser power on formability, microstructure, and quality of 316 L stainless steel prepared by selective laser melting10.1016/j.jmrt.2023.06.144 ↗
14. Numerical homogenization for incompressible materials using selective smoothed finite element method10.1016/j.compstruct.2014.12.016 ↗
15. Numerical analysis of the effect of the scan strategy on the residual stress in the multi-laser selective laser melting10.1016/j.rinp.2020.103005 ↗
16. Elastic properties of reinforced solids: Some theoretical principles10.1016/0022-5096(63)90036-X ↗
17. On constitutive macro-variables for heterogeneous solids at finite strain. Proceedings of the Royal Society A: Mathematical
18. Mandel, J. (1966). Applied Mechanics, Springer.
19. On the overall moduli of non-linear elastic composite materials10.1016/0022-5096(74)90033-7 ↗
20. On the homogenization and the simulation of random materials on the homogenization and the simulation of random materials
21. Representative volume: Existence and size determination10.1016/j.engfracmech.2006.12.021 ↗
22. Determination of the size of the representative volume element for random quasi-brittle composites10.1016/j.ijsolstr.2009.03.015 ↗
23. Random field models of heterogeneous materials10.1016/S0020-7683(97)00144-3 ↗
24. Comparisons of the size of the representative volume element in elastic, plastic, thermoelastic, and permeable random microstructures10.1615/IntJMultCompEng.v5.i2.10 ↗
25. Determination of the size of the representative volume element for random composites: Statistical and numerical approach10.1016/S0020-7683(03)00143-4 ↗
26. Effect of boundary condition and statistical volume element size on inhomogeneity and anisotropy of apparent properties10.1016/j.mechmat.2022.104408 ↗
27. Random field modeling of elastic properties using homogenization10.1061/(ASCE)0733-9399(2001)127:1(27) ↗
28. Computational micromechanics of composites: The effect of particle spatial distribution10.1016/j.mechmat.2005.06.026 ↗
29. Modeling the effect of mesoscale randomness on concrete fracture10.1016/j.probengmech.2005.11.002 ↗
30. Bazant, Z.P., and Planas, J. (1998). Fracture and Size Effect in Concrete and Other Quasi-Brittle Materials, CRC Press.
31. Scaling strength distributions in quasi-brittle materials from micro- to macro-scales: A computational approach to modeling nature inspired structural ceramics10.1016/j.jmps.2014.03.011 ↗
32. Aleatory uncertainty and scale effects in computational damage models for failure and fragmentation10.1002/nme.4699 ↗
33. Coupled continuum and discrete analysis of random heterogeneous materials: Elasticity and fracture10.1016/j.jmps.2013.07.006 ↗
34. Characterization of random composites using moving-window technique10.1061/(ASCE)0733-9399(2000)126:4(389) ↗
35. Simulation of local material properties based on moving-window GMC10.1016/S0266-8920(01)00022-4 ↗
36. Crack initiation and propagation in materials with randomly distributed holes10.1016/S0013-7944(97)00039-8 ↗
37. Effect of aggregate structure on fracture process in concrete using 2D lattice model
38. The Influence of Processing Parameters on the Mechanical Properties of SLM Parts10.1016/j.proeng.2015.01.510 ↗
39. Conforming to interface structured adaptive mesh refinement: New technique for the automated modeling of materials with complex microstructures10.1016/j.finel.2016.11.003 ↗
40. A conforming to interface structured adaptive mesh refinement technique for modeling fracture problems10.1007/s00466-016-1366-z ↗
41. Automated homogenization-based fracture analysis: Effects of SVE size and boundary condition10.1016/j.cma.2018.11.009 ↗
42. Abaqus (2006). Abaqus Analysis User’s Manual (V6.6), Washington University.
43. Application of variational concepts to size effects in elastic heterogeneous bodies10.1016/0022-5096(90)90041-2 ↗
44. Order relationships for boundary conditions effect in heterogeneous bodies smaller than the representative volume10.1016/0022-5096(94)90022-1 ↗
45. On overall properties of elastic heterogeneous bodies smaller than the representative volume10.1016/0020-7225(94)00129-8 ↗
46. Effect of microstructural variations on the failure response of a nano-enhanced polymer: A homogenization-based statistical analysis10.1007/s00466-020-01934-x ↗
47. Complexity science of multiscale materials via stochastic computations10.1002/nme.2578 ↗
48. Deformation effect of melt pool boundaries on the mechanical property anisotropy in the SLM AlSi10Mg10.1016/j.mtcomm.2023.106879 ↗
49. A survey of finite element analysis of temperature and thermal stress fields in powder bed fusion Additive Manufacturing
50. Letenneur, M., Kreitcberg, A., and Brailovski, V. (2019). Optimization of laser powder bed fusion processing using a combination of melt pool modeling and design of experiment approaches: Density control. J. Manuf. Mater. Process., 3.10.3390/jmmp3010021 ↗
51. A comparison of material models for the simulation of selective beam melting processes10.1016/j.procir.2020.09.011 ↗
52. Numerical simulation of part-level temperature fields during selective laser melting of stainless steel 316 L10.1007/s00170-019-03947-0 ↗
53. Selective laser melting of stainless steel 316 L with low porosity and high build rates10.1016/j.matdes.2016.05.035 ↗