Thomas R. Kurfess

ORCID: 0000-0003-2356-9622
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About
Contact & Profiles
Research Areas
  • Manufacturing Process and Optimization
  • Advanced machining processes and optimization
  • Advanced Measurement and Metrology Techniques
  • Additive Manufacturing and 3D Printing Technologies
  • Additive Manufacturing Materials and Processes
  • Advanced Surface Polishing Techniques
  • Industrial Vision Systems and Defect Detection
  • Digital Transformation in Industry
  • Advanced Machining and Optimization Techniques
  • Advanced Numerical Analysis Techniques
  • Optical measurement and interference techniques
  • Flexible and Reconfigurable Manufacturing Systems
  • Gear and Bearing Dynamics Analysis
  • Surface Roughness and Optical Measurements
  • Advanced Control Systems Optimization
  • Control Systems and Identification
  • Advanced MEMS and NEMS Technologies
  • Machine Fault Diagnosis Techniques
  • Experimental Learning in Engineering
  • Image and Object Detection Techniques
  • Iterative Learning Control Systems
  • Robotic Mechanisms and Dynamics
  • Design Education and Practice
  • Sensor Technology and Measurement Systems
  • Hydraulic and Pneumatic Systems

Georgia Institute of Technology
2016-2025

Manufacturing Institute
2023

National Transportation Research Center
2019-2022

Oak Ridge National Laboratory
2019-2022

Tecnológico de Monterrey
2017-2021

Marquette University
2020

Clemson University
2006-2018

The Ohio State University
2018

Pennsylvania State University
2018

Grand Valley State University
2018

10.1006/mssp.2000.1301 article EN Mechanical Systems and Signal Processing 2000-09-01

Tool condition monitoring (TCM) is an important aspect of based maintenance (CBM) in all manufacturing processes. Recent work on TCM has generated significant successes for a variety cutting operations. In particular, lower cost and on-board sensors conjunction with enhanced signal processing capabilities improved networking permitted enhancements to capabilities. This paper presents overview drilling, turning, milling, grinding. The focus this the hardware algorithms that have demonstrated...

10.1115/1.4002022 article EN Journal of Manufacturing Science and Engineering 2010-08-01

OVERVIEW:As 3D printers become more widely available, additive manufacturing will challenge the traditional forms of intellectual property (IP) protection in a significant way. This paper presents an integrated technical and legal discussion on IP concerns related to manufacturing. It discusses key technology concepts driving issues as well giving overview how current U.S. system addresses these concerns. The then provides insight into approaches that are being adopted address some emerging...

10.5437/08956308x5705256 article EN Research-Technology Management 2014-08-28

<title>Abstract</title> As multiple macro scale directed energy deposition (DED) processes begin to be industrially adopted for large component manufacture, it is imperative that interface strategies between the are fully understood. The present work investigates asynchronous of a wire (DED-arc), followed by powder-based (DED-LP) with varying surface treatments which were evaluated flatness, porosity, hardness, and Charpy impact energy. self-regulation effect DED-LP was realized up...

10.21203/rs.3.rs-6198428/v1 preprint EN cc-by Research Square (Research Square) 2025-03-17

10.1016/j.ymssp.2018.03.006 article EN Mechanical Systems and Signal Processing 2018-08-02

Abstract Rolling element bearing failure is a major factor in the of rotating machinery. Current methods condition monitoring focus on determining any existing fault presence as early possible. Although defect can be detected when it well below industry standard fatal size 6.25 mm2 (0.01 in2), remaining life (the time takes to reach final size) from point where vary substantially. As detected, common shut down machinery soon possible avoid catastrophic consequences. Performing such an...

10.1080/10402009908982232 article EN Tribology Transactions 1999-01-01

In a robotic weld bead grinding system there are large interaction forces between the robot and workpiece. Jigging errors compliance make position control unreliable. Instead, metal removal can be controlled by controlling power applied to The approach used in this work has been develop nonlinear force law for PUMA 560 implement structured light vision that measures material volume real time. A trajectory planner also incorporated into permitting delivery of (the product wheel speed) bead....

10.1115/1.2896123 article EN Journal of Dynamic Systems Measurement and Control 1990-06-01
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