Drilling Simulation And Deformation Control Research Based On Finite Element Analysis

At present, the parts of aerospace pump which have complicated structure, numbers of crossing holes, high-level precision requirements are widely used but hard to machine. The machining accuracy and surface quality tend to be affected in the drilling process which has far more serious consequences. For these reasons, the finite element method is used to simulate the machining process and study the machining accuracy that contains dimensional accuracy, surface roughness. And some effective measures are taken to reduce the deformation of the workpiece during machining and improve the accuracy and quality of aerospace parts.In this paper, aero-engine fuel-pump is taken as the research object, and variation of the key parts of the pump precision and cutting parameters optimization are studied based on process analysis and finite element analysis. The main work is as follows:Firstly, according to the material properties, structure and characteristics of the parts, analyzes the processing methods of parts, select appropriate tool and determine suitable cutting parameter range based on cutting performance of the parts.Secondly, key technology of finite element theory analysis is combined with the processing simulation requirements, to build a finite element model for the cutting process, and then define finite element model parameters, and do machining process simulation based on finite element simulation software platform.Thirdly, three groups of cutting parameters are selected based on theoretical analysis, and statistical analysis method is used to study the cutting force, dimensional accuracy, surface roughness and cylindric error to obtain an initial trend.Fourthly, based on the trend, nine groups of parameters for each dependent variable of cutting parameters are selected for simulation and through analyzing the machining precision from the perspective of dimensional accuracy, surface roughness and cylindric error to obtain the optimized cutting parameters.Finally, based on genetic algorithm optimization theory, MATLAB toolbox is used to optimize cutting parameters. Optimization parameters and simulation results are compared to give optimized cutting parameters in a reasonable range.