Prediction And Compensation Of The Research Of Numerical Control Machining Titanium Alloy Parts Elastic Deformation

Along with the development of the space industry, the performance requirements of modern space products has rising, and a big changes have taken place in structure design and material selection, structure of the product to miniaturization development, the material tend to choose more and specific strength. Titanium alloy has high specific strength, good corrosion resistance, high heat resistance, etc are widely used in various fields. But, titanium alloy thin elastic modulus is small, and the processing problem is a new challenge, in a large amount of material removal, the influence of milling force is easy to produce processing deformation, cause the dimensional stability is difficult to control, product one-time pass rate is low.In this paper, the titanium alloy TC4 deformation of thin-wall parts milling as the main object of study, with thin-walled titanium alloy as the research instance. Metal cutting theory, with the aid of experimental research. Combine the mechanics model, numerical calculation and deformation compensation quantity research, from two aspects including elastic deformation prediction and compensation, in view of the thin-wall titanium alloy parts in the process of cutting machining deformation were studied. This study is to improve the nc machining accuracy, improve production efficiency, realize the easy deformation structures in large numbers in manufacturing production also has guiding significance.In this paper, the research content is as follows:First of all, by the titanium alloy material as the research object, considering the milling cutting force influence factors of cutting force model is established, and design corresponding levels of orthogonal experiment, the average cutting force formula is obtained by the experimental data processing, and the analysis of the influence of various factors on the cutting force.Then, in the Analysis of the elastic deformation in the process of machining parts, introduce of the finite element, finite element models of parts, use the average cutting force as the boundary conditions for elastic deformation forecast analysis parts.Secondly, establish an effective BP artificial neural network, combining the theory of multiple symmetrical compensation, to offline compensation correction of parts machining tool path, the optimized cutting parameters, so as to realize the precision parts processing control purposes.The last, design parts processing experiment, respectively according to not compensation correction tool path and using the method of compensation revised tool for processing, compared to the actual data and forecasting data, and analyzes the reason of deviation between the two tool path.This topic research to improve titanium alloy thin-walled NC machining accuracy, improve production efficiency, easy deformation structure implement manufacturing production has important theoretical and practical significance..