Exploration On The Mechanical Properties Of Chameleon Tissue And The Mechanism Of Feeding Behavior

It is of great engineering significance to study the mechanical properties of biological soft tissue and find out its deformation characteristics and stress distribution rules for the development of biological materials with excellent properties.Found in the study of the biological tissue,a chameleon in the process of feeding the tongue as a typical biological tissue,able to quickly catapulted to one times the speed of the body length,therefore,explore the feeding mechanism of the chameleon and the study of its mechanical properties,are emulated for chameleons as bionic mechanical design and development in the field of biological information extraction is particularly important.This paper takes the chameleon tongue as the research object,studies its mechanical properties based on finite element and neural network,and simulates the ejection process,mainly including the following aspects:(1)The finite element model of the tongue was established according to the proportion of the tongue in the predation process of the chameleon under the high-speed camera,which was divided into three parts: accelerator muscle,retractor complex and hyoid bone.By comparing the experimental velocity curve,the finite element simulation of tongue ejection process is carried out,and the constitutive model and the constitutive parameters of the material are preliminarily determined.(2)According to the tongue ejection process of the chameleon during preying,the "pressure driven model" of the chameleon tongue was established.Finite element simulation and simulation were carried out by applying pressure on the acceleration muscle surface,and the velocity curve and displacement curve of the ejection process were obtained.The finite element and neural network were combined to optimize the pressure value.The input sample was established according to the orthogonal experiment method.The Abaqus simulation data was taken as the training sample to train the neural network.(3)The predicted pressure value was input into Abaqus for simulation,and time-velocity curve and time-displacement curve were obtained which were consistent with the experimental data.It was verified that the method combining finite element and neural network could study the mechanical properties of soft tissue reliably.(4)Constitutive parameters of the material and pressure numerical value as optimization object,using the finite element combination of neural network to get the best numerical constitutive parameters and loading force,and got to time more consistent with the literature-speed curve and time-displacement curve,at the same time proves the rationality of the forecast of material constitutive parameters.