Mechanical fracture of lattice structures fabricated by selective laser sintering

Archives of Civil and Mechanical Engineering, Год журнала: 2025, Номер 25(2)

Опубликована: Фев. 20, 2025

Язык: Английский

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Interplay Between Acoustical and Mechanical Properties in Lattice Structures: A Geometrical Perspective

Advanced Materials Technologies, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Abstract The imperative for lattice structures to excel in both sound absorption and mechanical properties arises from the increasing demand materials that offer multifunctional solutions. However, relationship between these two properties, on how design both, remains uncertain. Here, a perspective is presented interplay structures, focusing their mechanisms, limitations, recommendations. First, new term acoustical geometry introduced describe features influencing structures. Identified resonance's structural requirements, geometries are derived actual lattices’ features. Using this, links drawn. It found truss triply periodic minimal surface lattices lack freedom needed simultaneously customize as inherently tied same structure. For inherent capability of introducing pores strategically, this less intertwined plate lattices. Therefore, it advocated development hybrid with decouple paving way meta enable customizable multifunctionality.

Язык: Английский

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Elucidating Structure-Property relationships for optimization of plate lattice sound absorbers

Materials & Design, Год журнала: 2025, Номер unknown, С. 113801 - 113801

Опубликована: Март 1, 2025

Язык: Английский

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Design and analysis of a microlattice structure for enhanced broadband sound absorption

Applied Acoustics, Год журнала: 2025, Номер 235, С. 110681 - 110681

Опубликована: Март 20, 2025

Язык: Английский

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Sound and mechanical impedance behaviors observed in multifunctional modular bio-inspired lattice metamaterials

Materials & Design, Год журнала: 2025, Номер unknown, С. 113987 - 113987

Опубликована: Апрель 1, 2025

Язык: Английский

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Prediction of Mechanical Properties of Lattice Structures: An Application of Artificial Neural Networks Algorithms

Materials, Год журнала: 2024, Номер 17(17), С. 4222 - 4222

Опубликована: Авг. 27, 2024

The yield strength and Young’s modulus of lattice structures are essential mechanical parameters that influence the utilization materials in aerospace medical fields. Currently, accurately determining often requires conduction a large number experiments for prediction validation purposes. To save time effort to predict material modulus, based on existing experimental data, finite element analysis is employed expand dataset. An artificial neural network algorithm then used establish relationship model between topology structure (the strength), which analyzed verified. Gibson–Ashby indicates different can be classified into two main deformation forms. obtain an deployed BCC-FCC structures, further optimized validated. Concurrently, disparate gives rise certain discrete form their dominant deformation, consequently affects prediction. In conclusion, using networks feasible approach contribute development

Язык: Английский

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Dual-Scale Optimization Design and Performance Analysis of Aircraft Rudder Structure

Mechanics of Solids, Год журнала: 2024, Номер 59(8), С. 4085 - 4099

Опубликована: Дек. 1, 2024

Язык: Английский

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