Design and Analysis of Energy Absorbent Bioinspired Lattice Structures

Greco, Lucrezia; Buccino, Federica; Xu, Zhuo; Vergani, L.; Berto, Filippo; Guagliano, Mario; Razavi, Seyyed Moahmmad Javad; Bagherifard, Sara

doi:10.1007/s42235-023-00358-6

Cited by 15 publications

(6 citation statements)

References 43 publications

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“…To visualize and mesh complex geometries, FEA tools such as Hypermesh, LS-Dyna utilising LS-Prepost file, and HyperView are helpful [16]. Lattice structures work best with the shrink wrap technique in Hypermesh [49]. Software like ABAQUS [50][51][52], ANSYS [6], and LS-DYNA [25,52] along with geometric models from SolidWorks and Catia meshed in HyperMesh [51] are used in FE models to imitate the behaviors of biomimetic structures.…”

Section: Finite Element Modellingmentioning

confidence: 99%

“…The paper evaluates 3D printed PLA honeycomb structures for sacrificial cladding solutions using experimental tests and LS-DYNA simulations. With a mesh size of 0.25 mm and second-order tetrahedral elements, Hypermesh uses the shrink wrap approach for meshing [49].…”

Section: Finite Element Modellingmentioning

confidence: 99%

“…LS-DYNA used to analyse horseshoe-shaped honeycombs, demonstrating improved plateau force and higher specific energy absorption, despite increased initial peak force [30]. Abaqus CAE 2017 simulations employed to study lattice structures' deformation and failure modes, revealing stress concentration sites [49].…”

Section: Deformation Analysismentioning

confidence: 99%

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Literature review on thin-walled and cellular structure designs for energy absorption

Dabasa,

Lemu,

Regassa

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Bio-inspired structure is a topic of immense interest to researchers worldwide. In order to maximize energy absorption through biomimetic structures, this article presents bio-inspired structure particularly, thin walled and cellular structures thorough analysis of the interactions between experimental research and Finite Element Analysis (FEA) simulations. The study compiles the prior research on experimental investigations of thin-walled and cellular biomimetic structures in order to understand the significance of biomimetic structural energy absorption. These inventive works of nature serve as inspiration for these designs, which provide engineering solutions that excel in impact resistance and energy dissipation abilities. The study further highlights the mutual advantages of combining experimental research with FEA models, which enable a deeper understanding of the impact response and energy absorption mechanisms inherent in biomimetic structures, by exploring into recent developments in material science and design methodologies. The article emphasizes how important validations are in bringing experimental results in line with FEA predictions. Furthermore, the practical applications demonstrated in fields like aircraft engineering, automotive safety, and protections can serve as excellent examples of the paradigm-shifting potential of this method for boosting impact protection. This review proposes novel research avenues aimed at fully harnessing the potential of biomimetic architectures to enhance energy absorption, all while acknowledging and addressing the associated challenges.

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Section: Finite Element Modellingmentioning

confidence: 99%

Section: Finite Element Modellingmentioning

confidence: 99%

See 1 more Smart Citation

Literature review on thin-walled and cellular structure designs for energy absorption

Dabasa,

Lemu,

Regassa

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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“…This dilemma has become a thorny scientific problem limiting the industrial application of many lightweight materials [ 6 ]. To resolve this conflict, materials scientists have looked to natural biomaterials with excellent mechanical performance to design new structural materials to meet engineering requirements [ 5 , 7 , 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Lightweight Structural Biomaterials with Excellent Mechanical Performance: A Review

Zhang

Wang

et al. 2023

Biomimetics

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The rational design of desirable lightweight structural materials usually needs to meet the strict requirements of mechanical properties. Seeking optimal integration strategies for lightweight structures and high mechanical performance is always of great research significance in the rapidly developing composites field, which also draws significant attention from materials scientists and engineers. However, the intrinsic incompatibility of low mass and high strength is still an open challenge for achieving satisfied engineering composites. Fortunately, creatures in nature tend to possess excellent lightweight properties and mechanical performance to improve their survival ability. Thus, by ingenious structure configuration, lightweight structural biomaterials with simple components can achieve high mechanical performance. This review comprehensively summarizes recent advances in three typical structures in natural biomaterials: cellular structures, fibrous structures, and sandwich structures. For each structure, typical organisms are selected for comparison, and their compositions, structures, and properties are discussed in detail, respectively. In addition, bioinspired design approaches of each structure are briefly introduced. At last, the outlook on the design and fabrication of bioinspired composites is also presented to guide the development of advanced composites in future practical engineering applications.

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“…Tooling and machinery for industry are two other sectors that benefit from additive manufacturing because parts may be produced more quickly and with greater tensile strength. In order to produce intricate and unique components, the medical and aerospace industries are also increasingly turning to additive manufacturing [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Neurosymbolic artificial intelligence (NSAI) based algorithm for predicting the impact strength of additive manufactured polylactic acid (PLA) specimens

Mishra

Jatti

2023

Eng. Res. Express

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In this study, we introduce application of Neurosymbolic Artificial Intelligence (NSAI) for predicting the impact strength of additive manufactured polylactic acid (PLA) components, representing the first-ever use of NSAI in the domain of additive manufacturing. The NSAI model amalgamates the advantages of neural networks and symbolic AI, offering a more robust and accurate prediction than traditional machine learning techniques. Experimental data was collected and synthetically augmented to 1000 data points, enhancing the model's precision. The Neurosymbolic model was developed using a neural network architecture comprising input, two hidden layers, and an output layer, followed by a decision tree regressor representing the symbolic component. The model's performance was benchmarked against a Simple Artificial Neural Network (ANN) model by assessing mean squared error (MSE) and R-squared (R2) values for both training and validation datasets.The results reveal that the Neurosymbolic model surpasses the Simple ANN model, attaining lower MSE and higher R2 values for both training and validation sets. This innovative application of the Neurosymbolic approach in estimating the impact strength of additive manufactured PLA components underscores its potential for optimizing the additive manufacturing process. Future research could investigate further refinements to the Neurosymbolic model, extend its application to other materials and additive manufacturing processes, and incorporate real-time monitoring and control for enhanced process optimization.

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Design and Analysis of Energy Absorbent Bioinspired Lattice Structures

Cited by 15 publications

References 43 publications

Literature review on thin-walled and cellular structure designs for energy absorption

Literature review on thin-walled and cellular structure designs for energy absorption

Lightweight Structural Biomaterials with Excellent Mechanical Performance: A Review

Neurosymbolic artificial intelligence (NSAI) based algorithm for predicting the impact strength of additive manufactured polylactic acid (PLA) specimens

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