Analysis And Optimization Of Working Device Of JH180 Excavator Based On Virtual Prototyping

According to the "Major National Science And Technology Infrastructure" 13th Five-Year "National Strategic Deployment Plan",the national basic engineering and strategic engineering construction has entered a new climax.As important engineerinng machine,the performance of the excavator has an important influence on improving the engineering efficiency.The JH180 excavator is a backhoe hydraulic excavator with the largest load,the highest excavation height and the deepest excavation depth under the same power.Market research found that the excavator has the problem of high energy consumption under complex conditions,and the mining path can not make full use of the digging force.Therefore,it has important theoretical and practical value for the performance analysis and optimization design of this type of excavator.This paper takes the JH180 backhoe hydraulic excavator as the research object,Genetic algorithm is used to optimize the structure of the working device.Virtual prototyping technology is used to analyze and compare the working devices before and after optimization.Mainly made the following research:(1)Establish a three-dimensional model of working device.The relative motions and energy consumption of various components were analyzed.D-H method was used to analyze the kinematics,the kinematics expressions of the main components were solved.Through dynamic analysis,the dynamic equation of the working device during operation was obtained.The mechanical calculation formulas such as digging force,cylinder thrust force,and excavation resistance were deduced.(2)The key hinge position of the work device as an objective function.In order to reduce the impact of deception in standard genetic algorithm on optimization results,The algorithm is improved based on the weight coefficient and adding penalty function the fitness function.The multi-constrained and multi-objective optimization problem is converted to a non constrained optimization problem with consideration of penalty.The objective function is optimized through the MATLAB algorithm toolbox.Established an optimized working device model.It lays the foundation for further performance analysis(3)Kinematic analysis and dynamic analysis of the working device before and after optimization are carried out through ADAMS software.The simulation results show that the maximum excavating radius of the optimized working device is increased by 1.5%,the maximum height of mining is raised by 1.4%,the maximum thrust of the bucket oil cylinder increased by 6.9%,the maximum thrust of the bucket cylinder is increased by 1.4%,the digging force of the bucket is increased by 6.1%,and the digging force of the bucket is increased by 5.8%.The overall mining performance is obviously improved.(4)The static analysis of the working device before and after optimization is carried out through ANSYS software.After optimization,the stress and strain of all components under the same load are obviously reduced.The strength of the structure is improved.Modal analysis shows that the working device will not cause resonance due to engine vibration.