Research On Fabric Simulation Based On Intelligent Algorithm

With the development of virtual reality technology,cloth simulation has gradually become a research focus.Facing with the different fabrics in reality,how to simulate the characteristics of these fabrics in the computer has become a difficult point.In the traditional cloth simulation method,the accuracy of the simulation is limited by the simulation speed,and it is difficult to balance,there are many shortcomings.Therefore,the multi-level cloth simulation method has been proposed,which has improved the effect of cloth simulation to some extent.However,multi-precision fabric modeling requires real-time adjustment of the cloth model to accommodate changes in the fabric.In the process of real-time adjustment of the fabric,the surface of the fabric needs to be searched,judged and reconstructed accordingly.The processing method for this process will directly affect the construction speed and accuracy of the model.At the same time,in the current cloth simulation method,the calculation process of air resistance is not accurate.In order to improve the existing algorithms,scholars have added the intelligent algorithm model represented by particle swarms to the fabric modeling process and collision detection while exploring different fabric modeling methods.Some achievements have been made to improve multi-precision.The simulation effect of the cloth model is very helpful.In this paper,the multi-precision fabric modeling method is improved from the following aspects:(1)The QPSO algorithm is added to the multi-precision region selection and recognition of cloth,and the area where multi-precision modeling is required is intelligently judged;(2)Simulation in cloth The air resistance dynamics equation of the fabric was added to the process and the numerical integration method in molecular dynamics was used to calculate the air resistance.