We consider the classification of wake structures produced by self-propelled fish-like swimmers based on local measurements of flow variables.This problem is inspired by the extraordinary capability of animal swimmers...We consider the classification of wake structures produced by self-propelled fish-like swimmers based on local measurements of flow variables.This problem is inspired by the extraordinary capability of animal swimmers in perceiving their hydrodynamic environments under dark condition.We train different neural networks to classify wake structures by using the streamwise velocity component,the crosswise velocity component,the vorticity and the combination of three flow variables,respectively.It is found that the neural networks trained using the two velocity components perform well in identifying the wake types,whereas the neural network trained using the vorticity suffers from a high rate of misclassification.When the neural network is trained using the combination of all three flow variables,a remarkably high accuracy in wake classification can be achieved.The results of this study can be helpful to the design of flow sensory systems in robotic underwater vehicles.展开更多
The objective of the present research was to establish a mechanical model to study the performance of double side self-propelled rolling machine.There are two key models in the modeling process.The first model is the ...The objective of the present research was to establish a mechanical model to study the performance of double side self-propelled rolling machine.There are two key models in the modeling process.The first model is the soft cover dynamics model,which is an important innovation in this study.And the insulation quilt was established based on the Macro-modeling technology.The second model is the double side self-propelled rolling machine virtual prototype model.By specifying multiple contact constraints and loadings between the soft cover dynamics model and the rigid component,the virtual prototype model was built successfully and the double side self-propelled rolling process was completely simulated.Moreover,the interaction mechanisms of the rigid and flexible coupling mechanics were investigated.The virtual rolling processes of different insulation quilt lengths were analyzed under different thickness treatments.The simulated results showed a good agreement with the experimental measurements,which suggested that the established model is an effective approach to evaluating and optimizing the rolling machine.The successful establishment of the mechanical model can facilitate the study of the performance of the product and further optimization,and also is of great significance to shorten the development cycle and reduce costs.展开更多
基金the National Natural Science Foundation of China(Grants 11772338 and 11372331)Chinese Academy of Sciences(Grants XDB22040104 and XDA22040203).
文摘We consider the classification of wake structures produced by self-propelled fish-like swimmers based on local measurements of flow variables.This problem is inspired by the extraordinary capability of animal swimmers in perceiving their hydrodynamic environments under dark condition.We train different neural networks to classify wake structures by using the streamwise velocity component,the crosswise velocity component,the vorticity and the combination of three flow variables,respectively.It is found that the neural networks trained using the two velocity components perform well in identifying the wake types,whereas the neural network trained using the vorticity suffers from a high rate of misclassification.When the neural network is trained using the combination of all three flow variables,a remarkably high accuracy in wake classification can be achieved.The results of this study can be helpful to the design of flow sensory systems in robotic underwater vehicles.
基金supported by Liaoning Province Science and Technology Plan Project(2020-BS-134)the Major Agricultural Project(2019JH110200003).
文摘The objective of the present research was to establish a mechanical model to study the performance of double side self-propelled rolling machine.There are two key models in the modeling process.The first model is the soft cover dynamics model,which is an important innovation in this study.And the insulation quilt was established based on the Macro-modeling technology.The second model is the double side self-propelled rolling machine virtual prototype model.By specifying multiple contact constraints and loadings between the soft cover dynamics model and the rigid component,the virtual prototype model was built successfully and the double side self-propelled rolling process was completely simulated.Moreover,the interaction mechanisms of the rigid and flexible coupling mechanics were investigated.The virtual rolling processes of different insulation quilt lengths were analyzed under different thickness treatments.The simulated results showed a good agreement with the experimental measurements,which suggested that the established model is an effective approach to evaluating and optimizing the rolling machine.The successful establishment of the mechanical model can facilitate the study of the performance of the product and further optimization,and also is of great significance to shorten the development cycle and reduce costs.
