Research On Cutting Heat Simulation Of Micro-milling Machining

With the advancement and development of science and technology,the miniaturization and refinement of various equipment products have become the development trend of modern mechanical products.Therefore,various fine parts are widely used in various products.Micro-milling has also received widespread attention as one of the important manufacturing methods for micro parts.For the fine parts,due to their small size and high precision requirements,compared to the larger workpieces,the heat generated during the processing and the distribution of the workpiece temperature field have a more serious effect on its processing quality.Impact.Therefore,it is of great significance to explore the influence of cutting parameters on the cutting temperature in the micro-milling process for the development of micro-milling machining technology.Both the friction coefficient and the machining parameters in the machining process have an important influence on the cutting temperature.Due to the complexity of the machining process,the friction coefficient often changes with the cutting environment during the cutting process.This article takes the micro parts as the research object,starts from the heat transfer law and cutting temperature in the micro-machining process,and uses the simulation method to study the influence of friction coefficient and cutting parameters on the cutting temperature.The research content of this article mainly includes the following aspects:(1)The heat source method is used to analyze the heat transfer process of milling,and the complicated heat conduction process is simplified as the influence of the surface heat source on the temperature of the workpiece.The model of any temperature field of the workpiece under the influence of the shear surface heat source is established.It lays a theoretical foundation for subsequent simulation research.(2)Using ABAQUS finite element analysis software to simulate the workpiece temperature in the micro-milling process,and establish two-dimensional and three-dimensional simulation models,respectively,to explore the friction coefficient and the impact of temperature changes in the logarithmic micro-machining process of each cutting parameter.In the low friction coefficient stage,the friction coefficient has a greater influence on the temperature and the cutting force,and when the friction coefficient increases to a certain extent,it will be found that the increase of the cutting force and the cutting temperature is not large when the coefficient of friction is low,the depth of cut,the spindle The effect of speed and feed rate on the cutting temperature is also similar to this trend,in which the spindle speed has the most significant effect on the cutting temperature,and when the feed speed increases.However,the cutting temperature will increase first and then decrease.(3)Analyze the tool eccentricity in the micro-milling process theoretically,and explore the influence of various cutting parameters on the cutting temperature in the presence of tool eccentricity,and find that the cutting temperature changes with cutting parameters and the tool is not eccentric Similar,but the cutting temperature is generally higher than when the tool is not eccentric,indicating that the tool eccentricity only affects the temperature but does not change the trend of change,and the eccentric distance of the tool has a similar effect on the temperature is similar to the feed rate of temperature influences.(4)Orthogonal experiments were designed and the BP neural network was trained by using a large amount of data obtained from simulations.As a result,the system gradually converged to the ideal value.Then the experimental data was used to verify the accuracy and stability of the neural network.The results show that the BP neural network model established in this paper has higher prediction accuracy and better stability.