Stochastic prediction of apparent compressive stiffness of selective laser sintered lattice structure with geometrical imperfection and uncertainty in material property

Takano, Naoki; Takizawa, Hideo; Wen, Pin; Odaka, Kento; Matsunaga, Satoru; Abe, Shinichi

doi:10.1016/j.ijmecsci.2017.08.060

Cited by 50 publications

(15 citation statements)

References 36 publications

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“…Delroisse et al [10] reported the effects of the orientation and spatial location of struts on the microstructure and porosity. Takanao et al [16] studied the effects of the geometrical imperfection of struts on the compressive response of lattice blocks using experimental tests and the finite element method (FEM). A stochastic homogenization analysis model was proposed by considering the uncertainty in mechanical property induced by geometrical imperfection.…”

Section: Introductionmentioning

confidence: 99%

“…High-fidelity X-ray microcomputed tomography (μ-CT) technology has been gradually used as a nondestructive testing method for defect detection and mesostructure reconstruction of complex metal or composite structures [8,16,18,20,22], which can accurately obtain the morphology and microdefect of struts. Leary et al [23] and Takano et al [16] investigated the geometrical imperfection or irregularity of lattice struts using μ-CT. Alsalla et al [24] evaluated the effect of manufactured defects on the tensile properties and fracture toughness of the cellular structure. Kim et al [25] developed a feedback mechanism that improved the initial design by using the μ-CT technique to quantify the surface roughness and pore size.…”

Section: Introductionmentioning

confidence: 99%

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Study of Size Effect on Microstructure and Mechanical Properties of AlSi10Mg Samples Made by Selective Laser Melting

et al. 2018

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The macroscopic mechanical performance of additive manufactured structures is essential for the design and application of multiscale microlattice structure. Performance is affected by microstructure and geometrical imperfection, which are strongly influenced by the size of the struts in selective laser melting (SLM) lattice structures. In this paper, the effect of size on microstructure, geometrical imperfection, and mechanical properties was systemically studied by conducting experimental tests. A series of AlSi10Mg rod-shaped samples with various diameters were fabricated using SLM. The uniaxial tensile test results show that with the decrease in build diameter, strength and Young’s modulus of strut decreased by 30% more than the stable state. The main reasons for this degradation were investigated through microscopic observation and micro X-ray computed tomography (μ-CT). In contrast with large-sized strut, the inherent porosity (1.87%) and section geometrical deviation (3%) of ponysize strut is greater because of the effect of thermal transform and hydrogen evolution, and the grain size is 0.5 μm. The discrepancy in microstructure, geometrical imperfection, and mechanical properties induced by size effect should be considered for the design and evaluation of SLM-fabricated complex structures.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study of Size Effect on Microstructure and Mechanical Properties of AlSi10Mg Samples Made by Selective Laser Melting

et al. 2018

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“…In-situ CT has been used to study the influence of defects on the mechanical properties of metallic materials and failure mechanisms in metals by tracking defect distribution and damage evolution [13,14] . More and more researchers use CT technology to characterize the morphology of lattice structure made by additive manufacturing and reveal the relationship between mechanical properties and 3D quantification of structure quality [15][16][17][18][19][20][21][22][23][24][25][26][27] . Boniotti et al [19] used digital image correlation to measure full-field strain of BCC lattice and compared with the finite element results obtained for the idealized and the real lattice geometries.…”

Section: Introductionmentioning

confidence: 99%

“…Boniotti et al [19] used digital image correlation to measure full-field strain of BCC lattice and compared with the finite element results obtained for the idealized and the real lattice geometries. Takano et al [15] employed the first-order perturbation based stochastic homogenization method to categorize geometrical imperfections into kink, notch and hole and embedded them into finite element model to predict the reduction of stiffness. Carlton et al [23] evaluated the failure mechanisms of two types of lattice structures by performing in-situ uniaxial compression tests to capture the local micro-strain deformation.…”

Section: Introductionmentioning

confidence: 99%

Damage characterizations and simulation of selective laser melting fabricated 3D re-entrant lattices based on in-situ CT testing and geometric reconstruction

Geng

Sun

et al. 2019

International Journal of Mechanical Sciences

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In recent years, metal additive manufacturing (AM) are widely employed for industrial applications, such as: biomedical, aerospace, automotive, marine and offshore sections. AM demonstrated superior manufacturing efficiencies and economic advantages for advanced lightweight industrial components with unlimited arbitrary topological layouts and complex internal microstructures, and are also employed for fabrication of auxetic materials and structures. In this paper, damage characterizations and mechanical behaviors of selective laser melting (SLM) fabricated 3D re-entrant lattices are investigated based on in-situ interrupted micro-CT test, and simulation based on geometric reconstructed models are performed for exploring the underlying failure mechanisms. Firstly, theoretical models for predicting the mechanical properties of 3D re-entrant lattice are developed, such as stiffness, Poisson's ratio and strength, etc. Secondly, the geometrical errors and fabrication defects of 3D reentrant lattices are analyzed based on 3D micro-CT scanning, in-situ micro-CT interrupted compression tests are performed for studying the deformation process and failure mechanisms. Finally, image finite element models with the detailed information of the shape, position and distribution of defects of the 3D reentrant lattices are constructed from 3D tomographic images, and numerical simulations are performed for studying the effects of the defects on the mechanical performances of the SLM additive manufactured 3D re-entrant lattice structures. It is shown that the failure behavior of the reentrant lattice is governed not only by its topology, but also by the geometric defects and surface defects. Moreover, the proposed interrupted in-situ micro-CT mechanical loading experiments and image finite element approaches can also shed lights on the relations between fracture failure around the edge and the powder adhesion. The damage evolution process is compared with the numerical simulation results to verify the materials failure modes.

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“…Vale [14] presented a stochastic model for characterizing the degradation process over time, but only one variable has been considered. Takano [15] studied the stochastic model of structure strength with geometrical imperfection and uncertainty in material property. Fang [16] and Bao [17], respectively, proposed a stochastic model updating, and solved it based on the Monte Carlo method.…”

Section: Introductionmentioning

confidence: 99%

A Time-Variant Reliability Model for Copper Bending Pipe under Seawater-Active Corrosion Based on the Stochastic Degradation Process

Sun

Liao

et al. 2018

Materials

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In the degradation process, the randomness and multiplicity of variables are difficult to describe by mathematical models. However, they are common in engineering and cannot be neglected, so it is necessary to study this issue in depth. In this paper, the copper bending pipe in seawater piping systems is taken as the analysis object, and the time-variant reliability is calculated by solving the interference of limit strength and maximum stress. We did degradation experiments and tensile experiments on copper material, and obtained the limit strength at each time. In addition, degradation experiments on copper bending pipe were done and the thickness at each time has been obtained, then the response of maximum stress was calculated by simulation. Further, with the help of one kind of Monte Carlo method we propose, the time-variant reliability of copper bending pipe was calculated based on the stochastic degradation process and interference theory. Compared with traditional methods and verified by maintenance records, the results show that the time-variant reliability model based on the stochastic degradation process proposed in this paper has better applicability in the reliability analysis, and it can be more convenient and accurate to predict the replacement cycle of copper bending pipe under seawater-active corrosion.

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Stochastic prediction of apparent compressive stiffness of selective laser sintered lattice structure with geometrical imperfection and uncertainty in material property

Cited by 50 publications

References 36 publications

Study of Size Effect on Microstructure and Mechanical Properties of AlSi10Mg Samples Made by Selective Laser Melting

Study of Size Effect on Microstructure and Mechanical Properties of AlSi10Mg Samples Made by Selective Laser Melting

Damage characterizations and simulation of selective laser melting fabricated 3D re-entrant lattices based on in-situ CT testing and geometric reconstruction

A Time-Variant Reliability Model for Copper Bending Pipe under Seawater-Active Corrosion Based on the Stochastic Degradation Process

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