Coupled aeroelastic–nanomechanical modeling of functionally graded piezoelectric tapered nanoplates used in sports equipment: results verification via a hybrid machine learning algorithm

IF 4.7 3区 材料科学 Q2 ENGINEERING, MECHANICAL
Long Liu, Murat YAYLACI
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Abstract

This work introduces a new coupled aeroelastic–nanomechanical theory for a class of materials, the functionally graded piezoelectric nanoplates that are considered for NEMS applications in the near future sports products. Nonlocal strain gradient theory (NSGT) and quasi-3D refined theory (Q3D-RT) are utilized to obtain the equations of motion for rectangular NEMS of varying thickness. The model covers several aspects, such as Von-Karman nonlinearity, nonlinear group and phase velocities, and the application of aerodynamic forces on the plates according to first-order piston theory. Nonlinear effects are captured by an iterative harmonic displacement representation, which also allows for the comprehensive description of the plate dynamics under the applied excitations. A hybrid machine learning algorithm employing fuzzy logic and deep neural networks (fuzzy-DNNs) is utilized to authenticate the model’s outcomes. With the help of the fuzzy-DNNs algorithm, the system’s nonlinear response characteristics, including the ratio of nonlinear group to phase velocity, are predicted with great efficiency, thereby providing solid validation for the model proposed. Furthermore, piezoelectric coupling in nanoplates is recognized as a factor for the enhancement of their mechanical performance, giving ideas about their usage in sports equipment where sensitivity, low weight, and high dynamic performance are important. The receipt of these results indicates a major breakthrough in the field of NEMS research, because up to now they have already revealed the essential contribution that nonlinear aeroelastic effects and electric interactions make to the formation of ultimate nanodevices. The research further proposes the theory-driven revolution of combining nanomechanics, piezoelectricity, and aeroelasticity as a way of producing new materials for the sports gear of the next generation.

Abstract Image

运动器材中功能梯度压电锥形纳米片的气动弹性-纳米力学耦合建模:通过混合机器学习算法验证结果
这项工作为一类材料介绍了一种新的气动弹性-纳米力学耦合理论,功能梯度压电纳米板被认为是NEMS在不久的将来的运动产品中的应用。利用非局部应变梯度理论(NSGT)和准三维精细理论(Q3D-RT)得到了变厚度矩形NEMS的运动方程。该模型涵盖了Von-Karman非线性、非线性群速度和相速度以及基于一阶活塞理论的气动力在板上的应用。非线性效应由迭代谐波位移表示捕获,这也允许在应用激励下对板动力学进行全面描述。采用模糊逻辑和深度神经网络(fuzzy- dnn)的混合机器学习算法来验证模型的结果。利用fuzzy-DNNs算法对系统的非线性响应特性(包括非线性群与相速度之比)进行了高效预测,为所提出的模型提供了可靠的验证。此外,纳米片中的压电耦合被认为是提高其机械性能的一个因素,为其在运动器材中的应用提供了思路,在运动器材中,灵敏度,轻重量和高动态性能是重要的。这些结果的获得标志着NEMS研究领域的重大突破,因为到目前为止,它们已经揭示了非线性气动弹性效应和电相互作用对最终纳米器件形成的重要贡献。该研究进一步提出了结合纳米力学、压电和气动弹性的理论驱动革命,作为生产下一代运动装备新材料的一种方式。
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来源期刊
International Journal of Mechanics and Materials in Design
International Journal of Mechanics and Materials in Design ENGINEERING, MECHANICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
6.00
自引率
5.40%
发文量
41
审稿时长
>12 weeks
期刊介绍: It is the objective of this journal to provide an effective medium for the dissemination of recent advances and original works in mechanics and materials'' engineering and their impact on the design process in an integrated, highly focused and coherent format. The goal is to enable mechanical, aeronautical, civil, automotive, biomedical, chemical and nuclear engineers, researchers and scientists to keep abreast of recent developments and exchange ideas on a number of topics relating to the use of mechanics and materials in design. Analytical synopsis of contents: The following non-exhaustive list is considered to be within the scope of the International Journal of Mechanics and Materials in Design: Intelligent Design: Nano-engineering and Nano-science in Design; Smart Materials and Adaptive Structures in Design; Mechanism(s) Design; Design against Failure; Design for Manufacturing; Design of Ultralight Structures; Design for a Clean Environment; Impact and Crashworthiness; Microelectronic Packaging Systems. Advanced Materials in Design: Newly Engineered Materials; Smart Materials and Adaptive Structures; Micromechanical Modelling of Composites; Damage Characterisation of Advanced/Traditional Materials; Alternative Use of Traditional Materials in Design; Functionally Graded Materials; Failure Analysis: Fatigue and Fracture; Multiscale Modelling Concepts and Methodology; Interfaces, interfacial properties and characterisation. Design Analysis and Optimisation: Shape and Topology Optimisation; Structural Optimisation; Optimisation Algorithms in Design; Nonlinear Mechanics in Design; Novel Numerical Tools in Design; Geometric Modelling and CAD Tools in Design; FEM, BEM and Hybrid Methods; Integrated Computer Aided Design; Computational Failure Analysis; Coupled Thermo-Electro-Mechanical Designs.
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