On the directional elastic modulus of the TPMS structures and a novel hybridization method to control anisotropy

Khaleghi, Saeed; Dehnavi, Fayyaz Nosouhi; Baghani, Mostafa; Safdari, Masoud; Wang, Kui; Baniassadi, Majid

doi:10.1016/j.matdes.2021.110074

Cited by 62 publications

(20 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…TPMS topologies can be approximately defined as combinations of trigonometric functions in an implicit form. Examples of the most common TPMS equations in the implicit form are expressed in Table 1 as follows [ 42 , 43 ]:…”

Section: Classification Of Lattice Structuresmentioning

confidence: 99%

Titanium Lattice Structures Produced via Additive Manufacturing for a Bone Scaffold: A Review

Distefano

Pasta

2023

JFB

View full text Add to dashboard Cite

The progress in additive manufacturing has remarkably increased the application of lattice materials in the biomedical field for the fabrication of scaffolds used as bone substitutes. Ti6Al4V alloy is widely adopted for bone implant application as it combines both biological and mechanical properties. Recent breakthroughs in biomaterials and tissue engineering have allowed the regeneration of massive bone defects, which require external intervention to be bridged. However, the repair of such critical bone defects remains a challenge. The present review collected the most significant findings in the literature of the last ten years on Ti6Al4V porous scaffolds to provide a comprehensive summary of the mechanical and morphological requirements for the osteointegration process. Particular attention was given on the effects of pore size, surface roughness and the elastic modulus on bone scaffold performances. The application of the Gibson–Ashby model allowed for a comparison of the mechanical performance of the lattice materials with that of human bone. This allows for an evaluation of the suitability of different lattice materials for biomedical applications.

show abstract

Section: Classification Of Lattice Structuresmentioning

confidence: 99%

Titanium Lattice Structures Produced via Additive Manufacturing for a Bone Scaffold: A Review

Distefano

Pasta

2023

JFB

View full text Add to dashboard Cite

show abstract

“…The identified parameters with the considered levels are furnished in Table 1. The type of TPMS profile is based on the earlier work published by Khaleghi et al [30]…”

Section: Identification Of the Influencing Factors And Their Levelsmentioning

confidence: 99%

“…Selection of TPMSKhaleghi et al[30] investigated the elastic modulus of various TPMS profiles and identified that Schwarz-P and IWP profile exhibited strong axial and diagonal directional characteristics in comparison to their counterparts, which formed the basis of the study for selection of the profile. The TPMS structure considered as Skeletal structures (or Solid connectivity networks).…”

mentioning

confidence: 99%

Development of TPMS inspired thin walled structured metal foams from unsorted ferrous scrap through melt route

Chandrakanth

Prakash²,

Maiti³

et al. 2022

Preprint

View full text Add to dashboard Cite

Porous castings are avant-garde materials termed as cellular metals. It showcases attractive characteristics likened to their solid equivalents. Powder metallurgy has been long utilized to manufacture cellular metals using diverse chemicals to attain internal pores, however this method is not viable for hefty components. The proposed methodology in this investigation is capable to produce structured foam using space holders using melt route. Melting and casting of cast iron foam described in this work to develop foam structure inspired by TPMS cellular structure (Schwarz, Modified Schwarz and I-WP). Porosity of 62.4% is achieved through casting route against numerically predicted 65% with a compressive strength of 177.4 MPa. Radiography tests shows that there are no significant defects in the connectivity region and there is full connectivity between pores that is in line with the results attained from pre-cast simulations. Optical projection of the casted sample is done as a confirmatory test for ensuring connectivity. Thickness of as low as 1.5mm is casted with Cast Iron in a structured manner.

show abstract

“…First, the mechanical properties of the lattice structure, such as modulus or strength, are lower than those of the base material because of the inherent high void fraction of the lattice. , The origin of the limit stems from the tradeoff between void fraction and mechanical properties. , Second, since lattice structures can never achieve perfect isotropy, the mechanical properties of the lattice are orientation-dependent; they heavily depend on the direction of the applied load. − This high anisotropy of the lattice structure is a hurdle for several structural applications having uncertainty in loading and should ideally be mitigated. The last limitation for lattice structures is the oftentimes low toughness and small strain limit, resulting from the high stress concentration around the beam intersections at the joints, which causes catastrophic failure with large energy release when a crack nucleates …”

Section: Introductionmentioning

confidence: 99%

Deep Learning Accelerated Design of Mechanically Efficient Architected Materials

Lee

Zhang

2023

ACS Appl. Mater. Interfaces

View full text Add to dashboard Cite

Lattice structures are known to have high performance-to-weight ratios because of their highly efficient material distribution in a given volume. However, their inherently large void fraction leads to low mechanical properties compared to the base material, high anisotropy, and brittleness. Most works to date have focused on modifying the spatial arrangement of beam elements to overcome these limitations, but only simple beam geometries are adopted due to the infinitely large design space associated with probing and varying beam shapes. Herein, we present an approach to enhance the elastic modulus, strength, and toughness of lattice structures with minimal tradeoffs by optimizing the shape of beam elements for a suite of lattice structures. A generative deep learning-based approach is employed, which leverages the fast inference of neural networks to accelerate the optimization process. Our optimized lattice structures possess superior stiffness (+59%), strength (+49%), toughness (+106%), and isotropy (+645%) compared to benchmark lattices consisting of cylindrical beams. We fabricate our lattice designs using additive manufacturing to validate the optimization approach; experimental and simulation results show good agreement. Remarkable improvement in mechanical properties is shown to be the effect of distributed stress fields and deformation modes subject to beam shape and lattice type.

show abstract

On the directional elastic modulus of the TPMS structures and a novel hybridization method to control anisotropy

Cited by 62 publications

References 34 publications

Titanium Lattice Structures Produced via Additive Manufacturing for a Bone Scaffold: A Review

Titanium Lattice Structures Produced via Additive Manufacturing for a Bone Scaffold: A Review

Development of TPMS inspired thin walled structured metal foams from unsorted ferrous scrap through melt route

Deep Learning Accelerated Design of Mechanically Efficient Architected Materials

Contact Info

Product

Resources

About