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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 × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholars.unh.edu/dissertation/575
OAI identifier oai:identifier
oai:scholars.unh.edu:dissertation-1574

Chain of custody

source
Harvested from
University of New Hampshire
Base URL
scholars.unh.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Suprock, Christopher Adam. Wireless Sensor Integrated Tool for Characterization of Machining Dynamics in Milling. Dissertation thesis, 2011. https://scholars.unh.edu/dissertation/575