基于組合挖掘的反鏟液壓挖掘機(jī)工作裝置優(yōu)化設(shè)計(jì)
[Abstract]:Hydraulic excavator, as the standard product of construction machinery, plays a decisive role in road construction, urban planning and energy construction, and the working device is the core organization of hydraulic excavator. Its working performance is an important symbol of the design level of the whole machine. Based on the present situation, most of the domestic excavators imitate the benchmarking products of typical foreign models to improve the design, but in the actual excavation process, there are often some phenomena, such as insufficient excavating power, low working efficiency and poor fuel economy. In this paper, a new method of optimal design of hydraulic excavator working device based on combined mining is presented. Through many experiments and tests, the customary working track of excavator shows that compound mining and bucket rod mining play an important role in the actual mining process. Each excavator has its own customary working path for different mining objects. The combined mining methods proposed in this paper include the combination of multi-segment single-cylinder mining tracks on the job path and the simultaneous active recombination of two cylinders based on discrete points in the feasible area. After establishing a new performance analysis model, Comprehensive analysis and comparison of advanced excavator mining performance parameters at home and abroad can theoretically explain the mining performance defects of domestic excavators. It is proved that the performance analysis method of excavator based on combination mining can express the mining performance of excavator more accurately. According to the mathematical model of the new performance analysis method, the hinge point layout parameters of the working device can be selected as design variables, and the effective constraint function can be used to design the optimized products which pursue the size of excavating force and fuel economy. After the optimization mathematical model is established, the multi-objective function is solved by genetic algorithm. The optimization results show that the mining performance of the excavator is increased by 10% in the customary operation path. The full play proportion of the working cylinder and the maximum compound excavation force are increased by 13% and 8% respectively, which proves the feasibility of the new optimization method in improving the mining performance. Finally, the general software of optimal design of hydraulic excavator is compiled by VB language, which provides a higher and more effective design platform for domestic hydraulic excavator. The specific research contents of this paper include the following: 1 familiar with the working characteristics of the hydraulic excavator, establishing the kinematic and mechanical model of the excavator, solving the coordinate of the hinge point of the working device and the mathematical expression of the excavating force of the whole machine, It provides a theoretical basis for mining performance analysis. (2) this paper summarizes the common excavator mining performance analysis and the corresponding optimization design method, and expounds the modeling idea and feasibility based on the combined mining performance analysis method. The general software based on the new performance analysis method and optimization method is programmed with VB language. (3) the mining performance of a domestic 36-ton hydraulic excavator and its benchmarking products is analyzed based on the combination mining method, and the excavator size, the proportion of full play and the compound excavating force on the customary operation path are compared, and the proportion is brought into full play. The accuracy of verifiable performance analysis methods. (4) A new method of optimal design of working device based on combination mining is established, and the optimization design of working device is carried out for domestic excavator with performance defects, and the optimization mathematical model is solved by genetic algorithm. Finally, compared with the excavator mining performance before and after optimization, it is proved that the new optimization algorithm is feasible to improve the excavator mining performance.
【學(xué)位授予單位】:重慶大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TU621
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