Matching Optimization Of Power Assembly Of Engineering Machinery

With the rapid development of China's economy,the position of engineering machinery is becoming more and more important,and engineering machinery is widely used in mining,construction and other related industries.However,construction machinery will also bring great environmental pollution problems while running,including two main aspects,harmful emissions and energy crisis.The engine displacement of the engineering machinery is large,and the working condition is bad,besides,the oil consumption is relatively high in the high load state.The environmental pollution caused by the high oil consumption has the following several points:From the environmental point of view,first of all,a large amount of greenhouse gas CO2 will be discharged during the operation of the engineering machinery,which causes the warming of the earth and cause the greenhouse effect.Secondly,the engine will discharge NOx,SOx and other harmful substances during the operation of the engine.These substances are the forming factors of acid rain;in addition,when the fuel is burned,the fuel is not burning fully,the particles discharged are one of the factors that cause haze.The emission of these substances further aggravates the deterioration of the environment.At last,the noise pollution caused by the construction machinery in the process of work is also a pollution that can not be ignored.From the energy crisis aspect,our country is facing the increasingly severe problem of energy shortage now,for example,the over-exploitation of oil mining and the shortage of alternative energy.The intensification of energy crisis makes people begin to realize the importance of energy saving and emission reduction,so people take various measures and formulate laws and regulations to maintain sustainable development.From the above environmental pollution problems,we can see that the problem of environmental protection is an urgent problem,and engine emission in engineering machinery and passenger car is one of the main pollution sources of environmental pollution,so the research value of energy saving and emission reduction of engineering machinery are becoming more and more important.In order to solve the environmental problems and maintain sustainable development,this paper research from the aspect of optimization of powertrain matching for construction machinery.In the course of the research,I do the work is as follows:(1)By the way of reading a large number of predecessors' research achievements on the power transmission system of automobile and engineering machinery,this paper studies the power matching work done by the predecessors.This paper analyzes the theory and algorithm of the calculation of power matching of engineering machinery and experimental data processing adopted by the predecessors.And find out the advantages and disadvantages of the previous research in the field of dynamic matching through the measures of summing up.I do this to prepare for the work of my own paper,and use the improvement of what is not taken as an innovative point in this paper.(2)This paper has developed a dynamic matching software which have practical value for bulldozer by the way of referencing to the software and program of hydraulic mechanical transmission calculation developed by some scientific research institutions and institutions in China.The software has many functions such as the software can obtain the common working point of the engine and the torque converter,carry out the dynamic matching calculation,and carry out the dynamic parameters such as maximum traction,maximum speed and acceleration performance in the case of having vehicle performance parameters,and the software can also carry out oil consumption on the working cycle.By fitting the data of engine speed and torque during operation,the fuel consumption in the working cycle can be calculated.Using this software,it can quickly match the driving system of the bulldozer and calculate the oil consumption in a working cycle,which has the guiding significance for the relevant manufacturers to optimize the driving force transmission system.(3)In the process of fitting,we found that there is a difference between the calculated oil consumption of the software and the measured oil consumption of experimental data.We inferred that the difference is caused by the static and dynamic difference.Considering the learning ability and adaptability of the neural network,we use the neural network to correct the oil consumption calculated by the software.In the process of correction,a neural network model is established to calculate the oil consumption value to the measured oil consumption value,and the influence of different neural network parameters on the training process is tested.By comparing the effects of different parameters on the neural network debugging,the best neural network with the best training effect is selected as the final neural network model.Then through experiment we proves that the neural network model is effective.It can be used for the correction calculation of the subsequent oil consumption.