University of New Hampshire
Wireless Sensor Integrated Tool for Characterization of Machining Dynamics in Milling
Abstract
dc:description.abstract<p>A first step towards practical sensing in the machining environment is the development and use of low cost, reliable sensors. Historically, the ability to record in-process data at an end mill tool tip has been limited by the sensor location. Often, these sensors are mounted on the material workpiece or the machine spindle at significant physical distance from the cutting process. Of specific interest are the problems of tool chatter which causes limitations to productivity and part quality. Although tool chatter is a substantial issue in machining, it remains an open research topic. In this research, a sensor integrated cutting tool holder is developed to specifically analyze the problems related to tool chatter.</p><p>With the sensor integrated cutting tool holder, the signal to noise ratio is higher than traditional sensing methods. Because of the higher sensitivity, new data analysis methods can be explored. Specifically, the sensor is used in conjunction with a data dependent linear predictive coding algorithm to demonstrate effective prediction of chatter frequencies from stable cutting.</p>
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy
- Level thesis:degree_level
- Dissertation
- Year
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Suprock, Christopher Adam
- Contributors dc:contributor
-
- Barry Fussell
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholars.unh.edu/dissertation/575
- OAI identifier oai:identifier
- oai:scholars.unh.edu:dissertation-1574