Loader Shoveling Efficiency Optimization

The energy saving of the loader has always been the main content of the optimization of the construction machinery.The energy consumption of the loader shoveling operation accounts for a high proportion in a single operation cycle.There is no clear evaluation standard for the loading performance of a loader bucket.A mathematical model describing its operation process needs to be constructed to evaluate the efficiency of a single operation.Based on the trajectory change of the loader bucket during the shoveling operation,this dissertation constructs the mathematical model of the loader shoveling operation.The ore stacking angle in the mathematical model of the shoveling operation is an important parameter,and the angle of repose of the ore stack directly affects the amount of the shoveling material of the loader shoveling operation.By studying the ore stacking behavior affected by the gravity conditions,the discrete element method is used.The accumulation of ore particles under multi-gravity environment(deep space,underground,etc.)is simulated and analyzed.The spatial coordinate information of the ore particles is added to the spatial distance constraint,and the spatial boundary information of the ore particle accumulation is selected to solve the ore accumulation angle.In the actual operation of the loader,in order to increase the number of reciprocal transfer of the loader,overload loading is often performed when the bucket is full.The design of the bucket needs to take into account such working conditions and meet the actual use of the construction workers.demand.The main results of the paper are as follows:(1)Use mathematical language to describe and analyze the actual engineering problems,and obtain the appropriate bucket shoveling depth for different types of buckets through the actively falling material volume function and bucket bucket volume solving results to achieve the optimal Full bucket rate,the model can also be used to intelligently load the trajectory optimization reference operations for intelligent equipment loading operations,and to solve the optimal full bucket loading rate.(2)Predicting the numerical floating range of the stacking angle based on the results,and determining the influence of the accumulation angle under changing gravity conditions on the shoveling and loading optimization of the shovel-mounted smart equipment,the effect of thevariation of the ore stacking angle per 1° on the optimal loading depth The rate is 1.6%.The relationship between gravity and stability time was studied.It was found that the effect of gravity conditions on the stability time of ore accumulation was obvious in the interval of1m/s2-4m/s2.Based on the numerical analysis method,the mathematical model of gravity and stabilization time was obtained.It is used to predict the stability of ore accumulation in various gravity environments.(3)Through MATLAB's graph solving function,the relationship between the main dimension parameters of the bucket operation and the bucket full load overload rate is obtained,and the feasibility of the mathematical model of the shovel loading efficiency is verified,which is the load capacity of the bucket loader.The bucket size design provides a reference.The mathematicalization of the design process helps to realize the intelligent optimal design of the bucket,provides the design dimensions of the bucket in different working conditions,and improves the design efficiency of the bucket.