Multi sensor based drill wear monitoring using artificial neural network
No Thumbnail Available
Date
2007
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Tool condition monitoring(TCM) is one of the most important activities in modern manufacturing activities. proper implementation of TCM system not only prevents catastrophic failure of tool but also increases the productivity of the industries. Drilling is one of the most common machining operations used in industries and hence monitoring of the drilling condition is of significationt importance in industries. Among different causes of drilling failure gradual wear of the drilling is unavoidable and needs to be monitored to avoid sudden failure of the drill.
Description
Supervisor: Debabrata Chakroborty
Keywords
MECHANICAL ENGINEERING, MECHANICAL ENGINEERING