基于复合加工特征的航空结构件频响快速预测

Translated title of the contribution: Rapid Frequency Response Function Prediction of Aeronautical Structural Parts Based on Composite Machining Features

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

As a relatively large part of aircrafts, aeronautical structural parts have the characteristics of large size, weak rigidity of multi-cavity cavity and high material removal rate. How to efficiently remove structural material in stable machining state is one of the key issues to improve the processing efficiency of aerospace structural parts, and the rapid prediction of frequency response function (FRF) is the important issue for the selection of high efficiency cutting parameters. The typical aerospace structural parts are classified and extracted machining features, the composite machining feature "slot cavity-rib" are extracted and established for the large number of groove features and the difficult-to-machine cantilever features during the processing of aeronautical structural parts. The parameterized model of the composite machining feature is presented and the FRFs of several low rigid positions are calculated. Experiments are conducted to validate the proposed prediction method by testing the FRFs of composite machining features benchmarks and integral parts. It is found that the calculation accuracy reaches an accepted accuracy, which verifying the feasibility of using FRFs of composite machining feature model to replace that of integral parts model. Meanwhile, the degrees of finite element model of the proposed model is much less than that of the integral part, which shows that the proposed method can quickly predict the FRFs of aeronautical structural parts.

Translated title of the contributionRapid Frequency Response Function Prediction of Aeronautical Structural Parts Based on Composite Machining Features
Original languageChinese (Traditional)
Pages (from-to)200-207
Number of pages8
JournalJixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering
Volume59
Issue number3
DOIs
StatePublished - Feb 2023

Fingerprint

Dive into the research topics of 'Rapid Frequency Response Function Prediction of Aeronautical Structural Parts Based on Composite Machining Features'. Together they form a unique fingerprint.

Cite this