Application Of Genetic Algorithms To Transport Mechanism For Ultrasonic Sound Flaw Detection Track

Ultrasonic probe for track transport mechanism with the problems, this articleattempts to use genetic algorithms to optimize the design of track transport mechanism.And them are verified by improving the standard genetic algorithm and geneticalgorithms, the existing agencies and institutions to improve the analysis and derive thecorresponding optimal results, but also through the analysis of the accident found thatthe track during transmission by a larger force, when the car moves back and forth, sothat each cable box rotating split card, cable exposed to be pulled off, causing greateconomic losses. Deal with the problems, this study mainly divided into four parts:1) The main study of genetic algorithm optimization theory, genetic algorithmoptimization techniques were reviewed, based on the standard binary encoding andreal-coded genetic algorithm problems and through the test function to verify theimprovement of genetic algorithm and obtain better results, In the test function based onthe analysis and track transport mechanism with the characteristics of the objectivefunction, the track transmission organizations to choose the appropriate action operator,track transport mechanism through the analysis of the results obtained, the improvementof institutions is entirely feasible by optimizing.2) to the problems of existing institutions be improved, mainly through thebearings on the drive transmission instead of the existing simple tube-shaft drive; inthe structure with the bracket through the lower track contact area, thereby reducing thetrack was pulled off the stand probability and improve the institutional life.3) From the perspective of optimizing the system design process analysis, a trackedultrasound probe transmission organizations with optimization models, includingoptions to optimize the objective function, design variables, build ultrasonic probetracked with delivery organizations to optimize the design process, pointing out that thisoptimal design is the use of genetic algorithm technology that uses genetic algorithms toachieve system-level optimization problem4) ultrasonic probe tracked with delivery agencies to target, given the designvariables on the track curves and the impact of transmission organizations to optimizethe final result; by optimizing the results can be seen: track delivery agencies to improve optimization results clearly than before, thus proving that a genetic algorithm applied tothe ultrasonic probe track transport mechanism works even feasibility.