Monitoring Tool Wear and Chatter by Using an Index Based Reasoning Approach
Document Type
Thesis
Degree
Master of Science (MS)
Major/Program
Mechanical Engineering
First Advisor's Name
Ibrahim N. Tansel
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Sabri Tosunoglu
Third Advisor's Name
Yiding Cao
Date of Defense
11-14-2007
Abstract
This work addressed the ongoing attempt for establishing a reliable yet simple system for the detection of tool wear and chatter in vertical milling machines. For this reason, a simple closed-loop system that utilizes wireless sensors, a dynamometer replacement and an artificial intelligence system for signal processing were designed. Various signal analysis techniques were applied to real force signal information containing chatter and wear to determine if they were suitable instruments for detection of such unwanted disturbances. An Index Based Reasoner (IBR) was proposed as a solution for overall signal processing. Furthermore, a novel Torque Analysis Device (TAD) that utilizes piezoelectric sensors was developed to replace the inconvenient and expensive dynamometer that is typically used to obtain force and torque information from vertical mills. When all aspects of this research were tested, the results were found to be successful and thus combined to form the closed-loop monitoring system.
Identifier
FI15011401
Recommended Citation
Bickraj, Kimberly L., "Monitoring Tool Wear and Chatter by Using an Index Based Reasoning Approach" (2007). FIU Electronic Theses and Dissertations. 2431.
https://digitalcommons.fiu.edu/etd/2431
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