An artificial neural network model for multi-flexoelectric actuation of Plates
ABSTRACTFlexoelectric effect can be used to design actuators to control engineering structures including beams, plates, and shells. Multiple flexoelectric actuators method has the advantage of less stress concentration and better control effect, but the mode-dependent optimal actuator locations coul...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-10-01
|
| Series: | International Journal of Smart and Nano Materials |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475411.2022.2142317 |
| _version_ | 1811168079520989184 |
|---|---|
| author | Mu Fan Pengcheng Yu Zhongmin Xiao |
| author_facet | Mu Fan Pengcheng Yu Zhongmin Xiao |
| author_sort | Mu Fan |
| collection | DOAJ |
| description | ABSTRACTFlexoelectric effect can be used to design actuators to control engineering structures including beams, plates, and shells. Multiple flexoelectric actuators method has the advantage of less stress concentration and better control effect, but the mode-dependent optimal actuator locations could influence the flexoelectric actuation effect significantly. In this work, a neural network model is established to study the optimal combinations of multiple flexoelectric actuators on a rectangular plate. In the physical model, an atomic force microscope (AFM) probe was employed to generate an electric field gradient in the flexoelectric patch, so that flexoelectric control force and moment can be obtained. Multiple flexoelectric actuators on the plate was considered. Case studies showed that the flexoelectricity induced stress mainly concentrate near the probe, the size and shape of the flexoelectric patch have limited effect on the actuation, hence, only the actuator positions were choosing as the input of the ANN model. Using the prediction of the neural network model, the driving effect of a large number of actuators at different positions can be quickly obtained, and the optimal position of the actuator can be analyzed more accurately. |
| first_indexed | 2024-04-10T16:20:01Z |
| format | Article |
| id | doaj.art-325453607b4c4f999bd690394fb569e1 |
| institution | Directory Open Access Journal |
| issn | 1947-5411 1947-542X |
| language | English |
| last_indexed | 2024-04-10T16:20:01Z |
| publishDate | 2022-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Smart and Nano Materials |
| spelling | doaj.art-325453607b4c4f999bd690394fb569e12023-02-09T14:52:09ZengTaylor & Francis GroupInternational Journal of Smart and Nano Materials1947-54111947-542X2022-10-0113471373410.1080/19475411.2022.2142317An artificial neural network model for multi-flexoelectric actuation of PlatesMu Fan0Pengcheng Yu1Zhongmin Xiao2State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, SingaporeABSTRACTFlexoelectric effect can be used to design actuators to control engineering structures including beams, plates, and shells. Multiple flexoelectric actuators method has the advantage of less stress concentration and better control effect, but the mode-dependent optimal actuator locations could influence the flexoelectric actuation effect significantly. In this work, a neural network model is established to study the optimal combinations of multiple flexoelectric actuators on a rectangular plate. In the physical model, an atomic force microscope (AFM) probe was employed to generate an electric field gradient in the flexoelectric patch, so that flexoelectric control force and moment can be obtained. Multiple flexoelectric actuators on the plate was considered. Case studies showed that the flexoelectricity induced stress mainly concentrate near the probe, the size and shape of the flexoelectric patch have limited effect on the actuation, hence, only the actuator positions were choosing as the input of the ANN model. Using the prediction of the neural network model, the driving effect of a large number of actuators at different positions can be quickly obtained, and the optimal position of the actuator can be analyzed more accurately.https://www.tandfonline.com/doi/10.1080/19475411.2022.2142317smart structureflexoelectric effectvibration of thin plateArtificial neural network |
| spellingShingle | Mu Fan Pengcheng Yu Zhongmin Xiao An artificial neural network model for multi-flexoelectric actuation of Plates International Journal of Smart and Nano Materials smart structure flexoelectric effect vibration of thin plate Artificial neural network |
| title | An artificial neural network model for multi-flexoelectric actuation of Plates |
| title_full | An artificial neural network model for multi-flexoelectric actuation of Plates |
| title_fullStr | An artificial neural network model for multi-flexoelectric actuation of Plates |
| title_full_unstemmed | An artificial neural network model for multi-flexoelectric actuation of Plates |
| title_short | An artificial neural network model for multi-flexoelectric actuation of Plates |
| title_sort | artificial neural network model for multi flexoelectric actuation of plates |
| topic | smart structure flexoelectric effect vibration of thin plate Artificial neural network |
| url | https://www.tandfonline.com/doi/10.1080/19475411.2022.2142317 |
| work_keys_str_mv | AT mufan anartificialneuralnetworkmodelformultiflexoelectricactuationofplates AT pengchengyu anartificialneuralnetworkmodelformultiflexoelectricactuationofplates AT zhongminxiao anartificialneuralnetworkmodelformultiflexoelectricactuationofplates AT mufan artificialneuralnetworkmodelformultiflexoelectricactuationofplates AT pengchengyu artificialneuralnetworkmodelformultiflexoelectricactuationofplates AT zhongminxiao artificialneuralnetworkmodelformultiflexoelectricactuationofplates |