contributor author | C. James Li | |
contributor author | S. Y. Li | |
date accessioned | 2017-05-08T23:40:54Z | |
date available | 2017-05-08T23:40:54Z | |
date copyright | June, 1993 | |
date issued | 1993 | |
identifier issn | 0022-0434 | |
identifier other | JDSMAA-26194#285_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/111692 | |
description abstract | A new sensor has been developed to automatically detect face-milling insert fracture, chipping, and wear. With a befitting PVDF (polyvinylidene fluoride) sensor, and an optical transmitter based on frequency modulation technique, a miniature sensor, with little influence on the cutting process, was positioned very close to the cutting site. Due to this closeness, the state of the insert can be reliably recognized with extremely simple and fast algorithms. A tool wear index which is sensitive to wear but insensitive to cutting conditions, a tool fracture index, and a chipping recognition scheme based on a linear pattern classifier have been developed and proven to be effective by experimental data. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | A New Sensor for Real-Time Milling Tool Condition Monitoring | |
type | Journal Paper | |
journal volume | 115 | |
journal issue | 2A | |
journal title | Journal of Dynamic Systems, Measurement, and Control | |
identifier doi | 10.1115/1.2899033 | |
journal fristpage | 285 | |
journal lastpage | 290 | |
identifier eissn | 1528-9028 | |
keywords | Sensors | |
keywords | Condition monitoring | |
keywords | Milling | |
keywords | Cutting | |
keywords | Wear | |
keywords | Fracture (Process) AND Algorithms | |
tree | Journal of Dynamic Systems, Measurement, and Control:;1993:;volume( 115 ):;issue: 2A | |
contenttype | Fulltext | |