| In recent years,the manufacturing industry in our country is developing towards the direction of intelligent and lightweight.As a special lifting machine,bridge crane is widely used in various fields of mechanical engineering.Compared with the cranes in Europe and America,the traditional bridge cranes used in China are still far behind.Therefore,in order to improve the safety,reliability and economy of crane structure,the lightweight design of crane is very important.As the main loadbearing metal structure of the bridge crane,the main beam has a great impact on the overall weight of the crane,and the structure of the main beam directly determines whether the operation of the crane is safe and reliable,so the optimization design of the main beam structure is of great significance.The research content of this paper is: in order to realize the lightweight of the box girder of double girder bridge crane,the intelligent optimization algorithm is applied to the optimization mathematical model of the box girder,so that the main girder can achieve the perfect matching of mechanical performance and weight and realize the lightweight goal on the premise of meeting the crane design safety criteria and specifications.The main research work of this paper is as follows:(1)According to the analysis of the bridge crane structure,firstly,the parametric modeling of the bridge crane structure is carried out with ANSYS APDL programming language,and the stress of the main beam structure under different working conditions is studied and analyzed.Secondly,the static and dynamic characteristics of the main beam structure are analyzed.According to the analysis,the maximum stress and the maximum deformation of the structure under different working conditions are obtained.The analysis results are the basis of the subsequent optimization.(2)For the optimization design analysis of the main beam of the bridge crane,the corresponding mathematical model is established,the cross-sectional area of the main beam is used as the target function,and the corresponding cross-sectional parameters are selected as design variables.In order to make the design variables meet the structural strength,stiffness,stability,Manufacturing process and size restrictions,and finally establish the corresponding constraints according to "Crane Design Manual".(3)The intelligent algorithm is used to optimize the cross-sectional area of the box beam model.First,the individual’s speed and position formula are updated through the gravity search algorithm.After iteration,a new population is formed,and the selected population is updated using selection,crossover,and genetics through genetic algorithm,and the affected individual is selected through the improved formula Using genetic algorithm,with the iteration of the algorithm,the population size and the number of iterations of the genetic algorithm will increase until the result meets the requirements.Secondly,the test function is used to test the development ability and exploration ability of the algorithm.Finally,the optimized mathematical model of the crane is used to verify the effect of the algorithm.(4)In order to improve the design efficiency and quality of the box girder of the bridge crane,and to help designers quickly analyze the design,a human-machine interaction interface for rapid design of the crane was developed based on the C# language.This system facilitates designers to quickly realize the simulation and optimization design of the crane structure. |
