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航空发动机叶片加工过程动态检测实验平台研制

Translated title of the contribution: Development of experimental platform for dynamic monitoring of aero-engine blades machining process
  • Hui Wang
  • , Jiawei Liang
  • , Dongbo Wu
  • , Hongru Lyu
  • Tsinghua University

Research output: Contribution to journalArticlepeer-review

Abstract

Aero-engine blade is one of the typical parts in advanced manufacturing technology with difficult-to-cut material, complex structure and strict machining requirements. To study the mapping relationship between process parameters and machining accuracy of blades, an experimental platform for dynamic monitoring of aero-engine blade machining process is designed and implemented. The multiple sensors are applied to detect a variety of process parameters, including cutting force, vibration state, structural deformation and geometrical error in the blades machining process. Thus, the quantitative characterization of blade machining process and machining state are obtained by the experimental platform. By clue of the aero-engine blade's precision machining, the experimental platform combines the advanced research and basic teaching of manufacturing technology, including the removal mechanism of difficult-to-cut material, cutting dynamics theory, CNC machining technology, sensing detection technology, clamping and positioning technology of thin-walled workpiece, machining accuracy (geometric tolerance and surface integrity, etc.), finite element simulation modeling tools and so on. In the teaching practice, students can master the key knowledge of professional courses by experimental operation and data analysis. The experimental platform can also stimulate students' learning interest in advanced manufacturing technology and related academic research.

Translated title of the contributionDevelopment of experimental platform for dynamic monitoring of aero-engine blades machining process
Original languageChinese (Traditional)
Pages (from-to)183-189
Number of pages7
JournalExperimental Technology and Management
Volume38
Issue number11
DOIs
StatePublished - Nov 2021
Externally publishedYes

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