کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
565518 1451873 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Angular approach combined to mechanical model for tool breakage detection by eddy current sensors
ترجمه فارسی عنوان
رویکرد زاویه ای به مدل مکانیکی برای تشخیص شکست ابزار توسط سنسورهای جریان گردابی تبدیل شده است
کلمات کلیدی
نظارت وضعیت ابزار، فرزکاری، مدل نیروی برش، متوسط ​​همزمان، سنسور جریان خروجی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی

The paper presents a new complete approach for Tool Condition Monitoring (TCM) in milling. The aim is the early detection of small damages so that catastrophic tool failures are prevented. A versatile in-process monitoring system is introduced for reliability concerns. The tool condition is determined by estimates of the radial eccentricity of the teeth. An adequate criterion is proposed combining mechanical model of milling and angular approach.Then, a new solution is proposed for the estimate of cutting force using eddy current sensors implemented close to spindle nose. Signals are analysed in the angular domain, notably by synchronous averaging technique. Phase shifts induced by changes of machining direction are compensated. Results are compared with cutting forces measured with a dynamometer table.The proposed method is implemented in an industrial case of pocket machining operation. One of the cutting edges has been slightly damaged during the machining, as shown by a direct measurement of the tool. A control chart is established with the estimates of cutter eccentricity obtained during the machining from the eddy current sensors signals. Efficiency and reliability of the method is demonstrated by a successful detection of the damage.


► A new complete approach for tool condition monitoring in milling.
► Cutting force estimate using eddy current sensors.
► Signal processing combining mechanical model of milling and angular approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 44, Issues 1–2, 20 February 2014, Pages 211–220
نویسندگان
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