A Feature-Based Process Parameter Optimization and Quality Control Method for Blisks

Abstract

The invention discloses a feature-based overall blisk processing parameter optimization and quality control method, including inputting part models, completing part process route analysis, extracting overall blisk processing features, determining corresponding processing strategies based on processing features, and completing numerical control processing programs Compile and complete NC program cutting force simulation analysis, complete feature-based NC machining cutting parameter optimization, complete cutting force simulation of optimized NC program, determine cutting force stability of optimized NC program, and output NC program. The present invention controls the tangential force and axial force of the inter-blade flow channel, the radial force control of the blade profile, the axial force control of the hub flow channel, and the Axial force and radial force control, the processing efficiency of parts is significantly improved, the processing quality is effectively improved, and the results of multiple parts are converged after processing.

Description

technical field [0001] The invention relates to the technical field of aerospace numerical control machining, in particular to a feature-based overall blisk machining parameter optimization and quality control method. Background technique [0002] With the development of high thrust-to-weight ratio aero-engines, aeronautical parts are developing towards lightweight and integration. But this also makes the single-piece structure more complicated, and the difficulty of process planning and CNC machining increases. Blisks are one of the key parts of aero-engines, mainly used in compressors and turbines. Compared with the traditional structure, the overall blisk can reduce the weight by 25% to 35%, and increase the efficiency by 5% to 15%. However, its complex structure also makes it difficult for production personnel to complete the processing of the blisk efficiently and with high quality. technical challenge. [0003] Many scholars have done a lot of research on the tool p...

AI Technical Summary

Problems solved by technology

Although these methods have achieved remarkable results in improving programming quality and processing efficiency, all methods have not undergone mechanical analysis and cannot solve the problems of processing deformation and surface quality control difficulties caused by stress concentration and unstable cutting force during processing.

So far, there is no published feature-based method for optimizing the machining parameters and quality control of blisks

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