Research On Intelligent Algorithm In Microfluidic Chip Structural Design And Efficient Production

The market scale of microfluidic chips continues to grow,but its development is constrained by complex design processes and low production efficiency.Improving chip design quality and production efficiency has become an important way to promote the development of the microfluidic chip industry.The existing design scheme does not fully consider the influence of the chip area,the length of the runner and the number of intersections on its structural design results,and the layout and routing are considered separately.At the same time,the production of microfluidic chips has technical thresholds and harsh experimental environments.Although 3D printing technology can solve these problems,the existing printing technology has low printing efficiency and ignores the empty path caused by the printing light source during the transfer process.In this paper,in-depth research on improving the design quality and production efficiency of microfluidic chips is carried out in terms of chip structure design and efficient preparation,and an improved intelligent optimization algorithm is proposed.The main contents are as follows:1.In-depth research and analysis on the structure design method of microfluidic chip.In this paper,a microfluidic chip structure design algorithm based on the FAST-SP algorithm is proposed,which can quickly generate an initial device layout scheme,and then use the improved simulated annealing algorithm to obtain a better solution for the device layout,further improving the quality of chip structure design.;In the wiring stage,the improved wiring method is used to set high wiring areas to increase the possibility of successful chip wiring;finally,the connection between layout and wiring is enhanced according to the improved layout adjustment method to reduce the number of runner intersections.The purpose of improving the quality of chip design is achieved.2.In-depth research and analysis on the production and preparation methods of microfluidic chips.This paper proposes an improved ant colony algorithm to plan the transfer path of the light source port,and uses the grid method to abstract the microfluidic chip mold to be printed into a TSP problem.Firstly,redefine the heuristic function of ant colony algorithm,secondly,introduce the idea of maximum and minimum ant colony algorithm to improve the parameters of the algorithm,and finally,change the pheromone update method of the algorithm to speed up the convergence speed.Path customization can realize the printing path planning of the custom structure in the 3D environment,reduce the useless path of idling,and have a direct impact on the accuracy and performance of the manufactured parts,and also have a great impact on the manufacturing efficiency,which has improved the The purpose of chip production efficiency.This paper improves the design quality of large-scale microfluidic chips through the research on the structure design and production and processing of microfluidic chips.On the other hand,it accelerates the efficiency of chip production and promotes the development of microfluidic chips.