The Design Of Encryption System Based On Electronic Smt Virtual Manufacturing Software

With the rapid development of global electronic manufacturing industry, the applications of Surfaced Mounting Technology (SMT) in the process of electronic productions become wider and wider. The main device in the production line of surface mounting is surface mounting machine. They are classed into arch-type, compound, rotary tower type and large parallel system according to their structure while the arch-type mounters are used more widely in China. The main effects influencing mouting efficiency is surface mouting sequence, which is the key problem affecting the production efficiency of mounting mechine. If this problem is solved efficiently, the production cycle of printed circuit board will be shortened and the production efficiency will be enhanced. The early optimizations of SMT process were completed by artificial experience. Although some optimization schemes are equipped by suppliers, their function is always simple, unsuitable for practical production. So it is very pressing and important to optimize the algorithm of the mounting sequence.Based on the comparison of advantages and disadvantages of ant algorithm (AA) and genetic algorithm (GA), an effective algorithm for the arch-type mounter, is presented in this paper used to optimize the mounting sequence of the surface mounting system on printed circuit board (PCB) with multi-mounting heads and element types when the position of feeder is confirmed. The algorithm integrates AA into genetic algorithm. GA is applied to advance convergence speed in a large range and AA is used to elevate the accuracy of the solutions to shorten element mounting time on PCB and improve production efficiency of Surface Mounted Technology (SMT) system. Several groups of optimum solutions are obtained by GA in the early calculation which used as the original information of AA, while rapid and accurate solutions are made using the information in the later calculation. By combining GA and AA, it can extract their advantages and exclude their disadvantages to achieve the optimism solution the mounting sequence. The results by GA and AA are compared by the algorithm proposed in this paper to confirm the validity and reliability of the algorithm.