Tailoring Stress-Strain Curves of Flexible Snapping Mechanical Metamaterial for On-Demand Mechanical Responses via Data-Driven Inverse Design

Chai, Zhiping1; Zong, Zisheng1; Yong, Haochen1; Ke, Xingxing1; Zhu, Jiaqi1; Ding, Han1; Guo, Chuan Fei2; Wu, Zhigang1

2024-06-01

10.1002/adma.202404369

ADVANCED MATERIALS   影响因子和分区

0935-9648

1521-4095

["By incorporating soft materials into the architecture, flexible mechanical metamaterials enable promising applications, e.g., energy modulation, and shape morphing, with a well-controllable mechanical response, but suffer from spatial and temporal programmability towards higher-level mechanical intelligence. One feasible solution is to introduce snapping structures and then tune their responses by accurately tailoring the stress-strain curves. However, owing to the strongly coupled nonlinearity of structural deformation and material constitutive model, it is difficult to deduce their stress-strain curves using conventional ways. Here, a machine learning pipeline is trained with the finite element analysis data that considers those strongly coupled nonlinearities to accurately tailor the stress-strain curves of snapping metamaterialfor on-demand mechanical response with an accuracy of 97.41%, conforming well to experiment. Utilizing the established approach, the energy absorption efficiency of the snapping-metamaterial-based device can be tuned within the accessible range to realize different rebound heights of a falling ball, and soft actuators can be spatially and temporally programmed to achieve synchronous and sequential actuation with a single energy input. Purely relying on structure designs, the accurately tailored metamaterials increase the devices' tunability/programmability. Such an approach can potentially extend to similar nonlinear scenarios towards predictable or intelligent mechanical responses.","Targeting the realization of spatially and temporally programmable behaviors, a three-step data-driven inverse design framework is proposed based on finite element analysis and machine learning to accurately tailor the stress-strain curves of snapping mechanical metamaterials. Natively coupling nonideal architecture, nonlinear deformation, and nonlinear constitutive model, this framework is also potentially applicable to other responsive mechanical metamaterials with similar nonlinearities. image"]

data-driven inverse design mechanical metamaterial programmable behavior snapping stress-strain curve

SCI ; EI

英语

其他

National Natural Science Foundation of China[52188102]

Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics

Chemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied ; Physics, Condensed Matter

WOS:001257042500001

WILEY-V C H VERLAG GMBH

MATERIALS SCIENCE

Web of Science

1.Huazhong Univ Sci & Technol, State Key Lab Intelligent Mfg Equipment & Technol, Wuhan 430074, Peoples R China
2.Southern Univ Sci & Technol, Dept Mat Sci & Engn, Shenzhen 518000, Peoples R China

Chai, Zhiping,Zong, Zisheng,Yong, Haochen,et al. Tailoring Stress-Strain Curves of Flexible Snapping Mechanical Metamaterial for On-Demand Mechanical Responses via Data-Driven Inverse Design[J]. ADVANCED MATERIALS,2024.

Chai, Zhiping.,Zong, Zisheng.,Yong, Haochen.,Ke, Xingxing.,Zhu, Jiaqi.,...&Wu, Zhigang.(2024).Tailoring Stress-Strain Curves of Flexible Snapping Mechanical Metamaterial for On-Demand Mechanical Responses via Data-Driven Inverse Design.ADVANCED MATERIALS.

Chai, Zhiping,et al."Tailoring Stress-Strain Curves of Flexible Snapping Mechanical Metamaterial for On-Demand Mechanical Responses via Data-Driven Inverse Design".ADVANCED MATERIALS (2024).