Mechanical behaviour of AlSi10Mg lattice structures manufactured by the Selective Laser Melting (SLM)

Pirinu, A.; Primo, Teresa; Prete, Antonio; Panella, F.W.; Pascalis, Fabio De

doi:10.1007/s00170-022-10390-1

Cited by 9 publications

(5 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, Pirinu and his co-workers studied the mechanical performances of AlSi10Mg lattice based structures fabricated by employing the SLM process. 150 In this study, they observed the effect of the cell geometry, size of cells, and diameter of the beam on the deformation and failure nature of numerous SLM-built alloy AlSi10Mg architectures under compressive load. SLM is primarily attributed to the formation of numerous defects like a rough surface, porous morphology, less control over the dimensions of the product, and compactness to a nonporous, isotropic ceramic artifact that is really difficult to produce.…”

Section: Selective Laser Melting (Slm)mentioning

confidence: 98%

“…The relative density of 100% for cubic samples and yield strength (YS), ultimate tensile strength (UTS), and elongation in the tensile mode of the sample of 900 MPa, 1200 MPa, and 15% were achieved in the sample fabricated in the Z -direction utilizing the laser power source of 60 W with scanning speed @ 450 mm/s. Further, Pirinu and his co-workers studied the mechanical performances of AlSi10Mg lattice based structures fabricated by employing the SLM process . In this study, they observed the effect of the cell geometry, size of cells, and diameter of the beam on the deformation and failure nature of numerous SLM-built alloy AlSi10Mg architectures under compressive load.…”

Section: Types Of the Am Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Recent Advances in Additive Manufacturing, Applications and Challenges for Dentistry: A Review

Chaudhary

Avinashi

Rao

et al. 2023

ACS Biomater. Sci. Eng.

View full text Add to dashboard Cite

Technological advancement in the field of dentistry has to be proven in new avenues for professionals as well as laboratory programmers. An advanced type of technology is emerging based on digitalization, as a computerized three-dimensional (3-D) model, additive manufacturing also called 3-D printing, allows formation of block pieces by adding material layer-by-layer. The additive manufacturing (AM) approach has offered extreme progress in the broad choice of distinct zones, permitting the production of fragments of all possible varieties of substances such as metal, polymer, ceramic, and composites. The significant goal of current the article is to recapitulate the recent scenarios including the imminent perspective of AM techniques and challenges in dentistry. Moreover, this article reviews the recent developments of 3-D printing advancements along with the advantages and disadvantages. Herein, various AM technologies comprising vat photopolymerization (VPP), material jetting, material extrusion, selective laser sintering (SLS), selective laser melting (SLM), and direct metal laser sintering (DMLS) technologies based powder bed fusion technologies/direct energy deposition/sheet lamination centered on binder jetting technologies were discussed in detail. This paper attempts to provide a balanced view by emphasizing the economic, scientific, and technical challenges and presenting an overview of methods to discuss the similarities based on the authors' continuing research and development.

show abstract

Section: Selective Laser Melting (Slm)mentioning

confidence: 98%

Section: Types Of the Am Techniquesmentioning

confidence: 99%

Recent Advances in Additive Manufacturing, Applications and Challenges for Dentistry: A Review

Chaudhary

Avinashi

Rao

et al. 2023

ACS Biomater. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…The mean function 𝑚(𝑥) = 0 is assumed to simplify the formula and reduce the computational burden. From the definition of multi-output Gaussian process (MO-GP), the collection of functions 𝒈(𝑋) follows a matrix-variate Gaussian distribution: 𝒈(𝑋)~ℳ𝒩(0, 𝐾 * , Λ), (8) where 𝐾 * is an 𝑛 × 𝑛 matrix in which the (i, j)th element [𝐾 * ] 𝑖𝑗 = 𝑘 * (𝑥 𝑖 , 𝑥 𝑗 ).…”

Section: Multi-output Gpr Modelmentioning

confidence: 99%

“…stainless steel [7] and aluminium alloy [8], can be formed using AM. Multi-materials and functionally graded materials (FGM) are the latest development directions in metal AM that have received more attention from researchers [9,10].…”

Section: Introductionmentioning

confidence: 99%

Process parameter optimisation for selective laser melting of AlSi10Mg-316L multi-materials using machine learning method

Miao,

Yusof,

Karim

et al. 2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The present work focuses on process parameters optimisation for selective laser melting (SLM) of AlSi10Mg-316L multi-materials using machine learning method. The mechanical properties of the multi-material samples were measured at different process parameters. These process parameters and properties data were used to train and validate the machine learning model. A multi-output Gaussian process regression (MO-GPR) model was developed to directly predict the multidimensional output to overcome the limitations of the standard Gaussian process regression (GPR) model. Based on the prediction data, process parameter maps were constructed, and the optimal process parameters for different compositions were selected from the process parameter maps. The results showed that the laser power, scan velocity and hatching space have an important influence on the density and surface roughness of the samples. Results also indicated that there is no linear functional relationship between the optimal volumetric energy density (VED) values and the AlSi10Mg-316L compositions.

show abstract

“…The design flexibility inherent in SLM has prompted researchers to concentrate on optimizing the performance of geometrically intricate lattice structures [3][4][5]. Lattice structures stand out as extensively utilized porous arrangements across a wide array of applications due to their exceptional combination of high specific strength, rigidity, and capacity to absorb energy [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Dynamic mechanical properties of selective laser-melted AlSi10Mg lattice structures: experimental and numerical analysis with emphasis on Johnson-Cook model parameters

Caliskan,

Hafizoglu,

Babacan

2024

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Additively manufactured lattice structures are extensively utilized because of their unique characteristics, including lightweight design, high energy absorption capabilities, and exceptional specific strength. This study focuses on accurately simulating the dynamic mechanical behavior of AlSi10Mg lattice structures produced using selective laser melting (SLM). A series of experimental studies has been conducted to establish the parameters of the J–C hardening and damage model for additively manufactured AlSi10Mg alloys. The lattice structures, featuring face-centered cubic (FCC) and diamond topologies with a 25% designed relative density, underwent scanning electron microscopy (SEM) for geometrical precision assessment. Dynamic compressive behavior was investigated via split Hopkinson pressure bar (SHPB) tests. Numerical simulations in Ls-Dyna, utilizing the identified J–C parameters, were employed to replicate SHPB tests. Findings indicate that the specific strength and the specific energy absorption values of FCC lattice samples have higher than those of diamond samples at strain rates of 750 and 1100 s−1. While the overall strains and deformation modes were well predicted by numerical analyzes, a deeper insight into local stress concentrations under dynamic loads was achieved. Consequently, the obtained J–C model parameters offer valuable insight into characterizing the dynamic behavior of AlSi10Mg lattice structures produced by SLM.

show abstract

Mechanical behaviour of AlSi10Mg lattice structures manufactured by the Selective Laser Melting (SLM)

Cited by 9 publications

References 45 publications

Recent Advances in Additive Manufacturing, Applications and Challenges for Dentistry: A Review

Recent Advances in Additive Manufacturing, Applications and Challenges for Dentistry: A Review

Process parameter optimisation for selective laser melting of AlSi10Mg-316L multi-materials using machine learning method

Dynamic mechanical properties of selective laser-melted AlSi10Mg lattice structures: experimental and numerical analysis with emphasis on Johnson-Cook model parameters

Contact Info

Product

Resources

About