Design for laser powder bed additive manufacturing of AlSi12 periodic mesoscale lattice structures

Zhang, Chen; Banerjee, Abhishek; Hoe, Alison; Tamraparni, Achutha; Felts, Jonathan R.; Shamberger, Patrick J.; Elwany, Alaa

doi:10.1007/s00170-021-06817-w

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…Excess porosity is an example of the source RD deviation in the SLS process, as elaborated by [ 42 ]. In laser-powder bed fusion (L-PBF), unmelted powder particles that have no pathway to get out of the structure, closed pores due to powder clog [ 43 ], deviation in wall thickness, voids and cracks, and surface roughness [ 16 ] are reasons for RD deviation. Therefore, a modeling approach such as ANFIS will be more accurate as it can consider the measured RDs instead of the designed ones.…”

Section: Resultsmentioning

confidence: 99%

Prediction of Mechanical Properties for Carbon fiber/PLA Composite Lattice Structures Using Mathematical and ANFIS Models

et al. 2023

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This study investigates the influence of design, relative density (RD), and carbon fiber (CF) incorporation parameters on mechanical characteristics, including compressive modulus (E), strength, and specific energy absorption (SEA) of triply periodic minimum surface (TPMS) lattice structures. The TPMS lattices were 3D-printed by fused filament fabrication (FFF) using polylactic acid (PLA) and carbon fiber-reinforced PLA(CFRPLA). The mechanical properties of the TPMS lattice structures were evaluated under uniaxial compression testing based on the design of experiments (DOE) approach, namely, full factorial design. Prediction modeling was conducted and compared using mathematical and intelligent modeling, namely, adaptive neuro-fuzzy inference systems (ANFIS). ANFIS modeling allowed the 3D printing imperfections (e.g., RD variations) to be taken into account by considering the actual RDs instead of the designed ones, as in the case of mathematical modeling. In this regard, this was the first time the ANFIS modeling utilized the actual RDs. The desirability approach was applied for multi-objective optimization. The mechanical properties were found to be significantly influenced by cell type, cell size, CF incorporation, and RD, as well as their combination. The findings demonstrated a variation in the E (0.144 GPa to 0.549 GPa), compressive strength (4.583 MPa to 15.768 MPa), and SEA (3.759 J/g to 15.591 J/g) due to the effect of the studied variables. The ANFIS models outperformed mathematical models in predicting all mechanical characteristics, including E, strength, and SEA. For instance, the maximum absolute percent deviation was 7.61% for ANFIS prediction, while it was 21.11% for mathematical prediction. The accuracy of mathematical predictions is highly influenced by the degree of RD deviation: a higher deviation in RD indicates a lower accuracy of predictions. The findings of this study provide a prior prediction of the mechanical behavior of PLA and CFRPLA TPMS structures, as well as a better understanding of their potential and limitations.

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Section: Resultsmentioning

confidence: 99%

Prediction of Mechanical Properties for Carbon fiber/PLA Composite Lattice Structures Using Mathematical and ANFIS Models

et al. 2023

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“…The relative density 𝜌 of a BCC lattice is defined by the ratio of the strut diameter to the cell size 𝑑/𝑎 and can be calculated using the polynomial approximation given by Zhang et al [18] 𝜌 , 0.0014 0.01097 5.4142 4.8785…”

Section: Lattice Structure Design and Manufacturingmentioning

confidence: 99%

“…The selection of the laser parameters was based on the results of comprehensive preliminary manufacturing experiments that are not within the focus of the present study. The relative density ρ rel of a BCC lattice is defined by the ratio of the strut diameter to the cell size d/a and can be calculated using the polynomial approximation given by Zhang et al [18]…”

Section: Lattice Structure Design and Manufacturingmentioning

confidence: 99%

Heat-Transfer Properties of Additively Manufactured Aluminum Lattice Structures in Combination with Phase Change Material

Voigt,

Schmerler,

Korn

et al. 2024

Materials

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Compared to sensible heat storage, latent heat storage provides higher energy density due to the enthalpy difference of the storage medium undergoing a phase change. However, the heat storage capability of phase change materials is opposed by low thermal conductivity. To enable sufficient heat transfer within a latent heat storage unit, phase change materials can be used in combination with a metallic matrix. One approach is the infiltration of phase change materials into additively manufactured metallic lattice structures. In this work, the fabrication of aluminum lattice structures through laser powder bed fusion is described. During fabrication, the cell size and the strut diameter were varied to obtain specimens of different geometries. To obtain the thermal conductivity of the fabricated lattices, measurements were conducted based on the transient plane source method. Additionally, finite element simulations were carried out to evaluate the effect of fabrication and measurement uncertainties. The thermal conductivity of the fabricated lattices was found to be between 3 W/(m·K) and 130 W/(m·K). The numerically and analytically performed calculations provide good estimations of the experimentally obtained data.

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Powder bed fusion processes: main classes of alloys, current status, and technological trends

Guimarães

Minkowitz

Arneitz

et al. 2023

Advances in Metal Additive Manufacturing

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Design for laser powder bed additive manufacturing of AlSi12 periodic mesoscale lattice structures

Cited by 9 publications

References 34 publications

Prediction of Mechanical Properties for Carbon fiber/PLA Composite Lattice Structures Using Mathematical and ANFIS Models

Prediction of Mechanical Properties for Carbon fiber/PLA Composite Lattice Structures Using Mathematical and ANFIS Models

Heat-Transfer Properties of Additively Manufactured Aluminum Lattice Structures in Combination with Phase Change Material

Powder bed fusion processes: main classes of alloys, current status, and technological trends

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