Bayesian Online Breakthrough Detection Method for EDM Drilling

YAO Yao; TONG Hao; LI Yong; CUI Yingjie

doi:10.16080/j.issn1671-833x.2025.23/24.042

您当前的位置：

首页 >

文章列表页 >

Bayesian Online Breakthrough Detection Method for EDM Drilling

更新时间：2026-03-27

- Bayesian Online Breakthrough Detection Method for EDM Drilling
- Aeronautical Manufacturing Technology Issue 23/24, (2025)
- 作者机构：
  
  清华大学机械工程系精密超精密制造装备及控制北京市重点实验室,北京,100084
- 作者简介：
- 基金信息：
- DOI：10.16080/j.issn1671-833x.2025.23/24.042
  CLC：
- Published：2025
- 稿件说明：
移动端阅览
YAO Yao, TONG Hao, LI Yong, et al. Bayesian Online Breakthrough Detection Method for EDM Drilling[J]. Aeronautical Manufacturing Technology, 2025, (23/24).
DOI：

YAO Yao, TONG Hao, LI Yong, et al. Bayesian Online Breakthrough Detection Method for EDM Drilling[J]. Aeronautical Manufacturing Technology, 2025, (23/24). DOI： 10.16080/j.issn1671-833x.2025.23/24.042.

摘要

穿透检测对于防止电火花穿孔加工气膜冷却孔背伤具有重要意义。针对电火花穿孔加工中电极损耗造成的穿透位置难以获取的问题，提出一种基于贝叶斯在线变点检测的穿透检测方法。以采样加工主轴的进给速度作为特征信号，建立了动态更新的概率统计模型以描述电火花穿孔加工状态，通过识别模型参数的变化以捕捉瞬间穿透现象，并对加工阶段发生突变的概率进行量化，避免了实际加工中的短暂不稳定状态对穿透检测准确性的影响。此方法与常用的滑动窗口法相比，鲁棒性明显提高，实现了工件出口表面倾角0° 与45° 情况下穿孔加工穿透状态的准确检测，重复性试验验证了贝叶斯在线穿透检测方法的有效性。

Abstract

Breakthrough detection is of significant importance for preventing back striking in electrical discharge machining (EDM) of film cooling holes. To address the challenge of accurately capturing the breakthrough moment caused by electrode wear in EDM drilling

a breakthrough detection method is proposed based on Bayesian online change point detection. By sampling the feed speed of machining spindle as a feature signal

a dynamically updating probabilistic statistical model is established to describe the machining state of small-hole EDM process. The occurrence of breakthrough is detected by identifying changes in the model parameters. Furthermore

by quantifying the probability of abrupt changes in the machining stage

this method reduces the impact of transient instabilities on breakthrough detection during actual processing. Compared to the commonly used sliding window method

the detection robustness is significantly enhanced. Repeated experiments with different exit angles (0° and 45°) validate the effectiveness of the Bayesian online breakthrough detection method.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Technologies and Equipment of Electro Machining Film Cooling Holes

Research on Ultrafast Laser Machining of Film Cooling Hole in Turbine Blade

Experimental Study on Film Cooling Hole Deburring by Alternating Rotating Magnetic Field

Large-Distance Straight-Line Datum Construction Based on Laser Collimation

Modulation of Pore Structure and Properties in Phenolic Aerogels by Cationic Polyelectrolytes

Related Author

TONG Hao

LI Yong

LI Baoquan

ZHANG Xiaobing

JI Liang

CAI Min

MAO Zhong

LI Yuancheng

Related Institution

State Key Laboratory of Tribology, Tsinghua University

Beijing Key Lab of Precision/Ultra–precision Manufacturing Equipments and Control, Tsinghua University

Wuxi Micro Research Precise Machinery Technology Co., Ltd.

AVIC Manufacturing Technology Institute

Science and Technology on Power Beam Processing Laboratory

The platform construction and operation are provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
Total Visits：34410 Visits Today：357

⁰