University of Cincinnati College of Engineering

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University of CincinnatiCollege of Engineering

• Jay Lee,
• Ohio Eminent Scholar L.W. Scott Alter Chair
  Professor in Advanced Manufacturing
• And
• San-Mou Jeng
• Professor of Aerospace Engineering and
  Engineering Mechanics

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Major Research Programs

• Mechanical, Industrial and Nuclear Engineering
• Intelligent Maintenance Systems
• Structural Dynamics, Vibro-Acoustics and Controls
• Solid Mechanics and Bio/Nano Mechanics
• Thermal and Fluid Systems
• Aerospace Engineering and Engineering Mechanics
• Computational Simulation Visualization
• Engine Component Life Extension
• Intelligent and Autonomous Systems
• Noise Abatement and Aeroacoustics Control
• Gas Turbine Fuel Spray and Combustion

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Unmet Needs in Maintenance and Smart Service
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NSF Industry/University Cooperative Research
Center for Intelligent Maintenance SystemUniv.
of Cincinnati, Univ. of Michigan, and Univ. of
Missouri-Rolla
Degradation Process
Historical Data
Signal Processing Feature Extraction
Performance Life Prediction
Health Assessment
Assessment
Prognostics
Diagnostics
Intelligent Prognostics, and Failure Prediction
Prevention
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IMS Partnerships with IndustryMembers and
Sponsors Since 2001

• Boeing
• Caterpillar
• Festo (Germany)
• Chevron
• GE Aircraft Engine
• Advantech (Taiwan)
• Samsung (Korea)
• Toshiba (Japan)
• Honeywell
• Yokogawa (Japan)
• Emerson
• Lockheed Martin
• International Truck
• PG

• Rockwell Automation
• GM
• We Energies
• Johnson Controls
• United Technologies
• Harley-Davidson
• Hitachi (Japan)
• MHI (Japan)
• DaimlerChrysler
• Omron (Japan)
• Ford
• ETAS (Bosch)
• Toyota
• Intel
• Toshiba

• U.S. Postal Services
• ITRI (Taiwan)
• Precision Machinery
• Center (Taiwan)
• Kone Elevators (Finland)
• Automated Precision Inc.
• Delphi
• BaoSteel (China)
• Smart Commercial Kitchen
• Montronix
• Siemens (Germany)
• Komatsu (Japan)
• Underground Systems (USi)
• Tongtai Machine (Taiwan)

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Watchdog Agent Toolbox of Algorithms

• Signal Processing and Feature Extraction Tools
• Time-frequency / Time-frequency moments
• Wavelets / Wavelet packet energies
• Wavelets tree decomposition / Wavelet moments
• Fourier transform / Frequency bands
• Autoregressive (AR) modeling / AR model roots
• Expert extracted features

• Performance Assessment Tools
• Logistic regression
• Statistical pattern recognition
• Feature Map pattern matching
• Neural network pattern matching
• Hidden Markov Model (HMM) based performance
  assessment
• Particle Filter based performance assessment

• Performance Prediction Tools
• Match Matrix prediction
• Autoregressive Moving Average (ARMA) prediction
• Elman recurrent neural network prediction
• Fuzzy Logic based prediction

• Health Diagnosis Tools
• Hidden Markov Model (HMM) based diagnostic tool
• Support Vector Machine (SVM) based diagnostic
  tool

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Watchdog Agent Toolbox
Watchdog Agent Toolbox
Performance Assessment
Historical Data
Signal Processing Feature Extraction
Diagnostics
Working Condition
Prognostics
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QFD-based Watchdog Selection Tool
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An Integrated IMS Platform
IMS Platform
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Advantech UNO-2160 Watchdog AgentTM System

• High Performance and Rugged
• Fanless Celeron 400MHz CPU
• 256/512MB SDRAM
• 9-30VDC power input
• -10 to 50C operating temp
• Hardware Watchdog Timer

• Non-volatile Storage Media
• CompactFlash
• 2.5 HDD
• Battery Backed RAM

• Built-in Comm. Interfaces
• 2x Ethernet ports
• 4x Serial ports
• 2x USB ports
• 1x Printer port

• Expansion Capability
• 1x PC Card slot (PCMCIA)
• 2x PC/104 slots

• Robust Embedded OS
• Windows CE.NET
• Windows XPembedded

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E-Manufacturing
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Smart Machine Tool Health Monitoring and
Assurance
Watchdog Agent Toolbox

Signal Pre-Processing Feature Extraction
Spindle Monitoring
Time-frequency Analysis
Autoregressive Modeling
ATC Monitoring
Logistic Regression
Wavelet/ Wavelet Packet Decomposition
Coolant Monitoring
Time Series Analysis
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Smart Machine Tool Health Monitoring and
Assurance
Watchdog Agent Toolbox
Logistic Regression
Internet
A Radar Chart which indicates system status by
considering key features in Feature Space
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Reconfigurable Prototype Hardware
Expansion capacity
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Components, e.g.,
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Embedded Blackbox for Health Graph of
Componentsan Example
An example Machine Systems
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Peer-to-Peer Prognostics Tools
Multiple Sensors
Performance Assessment
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Value Flow
Company Designated Projects and Implementations
Validation
(Shared Tools Knowledge)
Research Tools
Testbeds
IMS Projects
Contracts
Membership
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Membership Value through Leveraged Partnerships
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Grand Challenges and Opportunities
NASA Intelligent Telemaintenance Systems/
Tele-surgery Systems
DARPA FCS Smart Battlefield Humancare
Homeland Security Self-Recovery Systems
EPRI Self-Healing Power Networks
USAF Smart Engine





Self-Prognostics, Self- Reconfiguration,
Self-Healing for Intelligent Autonomous
Survivability
Emerging Intelligent Autonomous Systems

Design for Autonomy and Survivability
Real-time Decision Making Tools
Collaboratory and Testbeds for Smart Agents
Interdisciplinary Systems Research (Thrust Areas)

Intelligent Maintenance Systems (MINE)
Innovative Tele-Surgery System (BME)
System Modeling/Simulation Group (ECECS)
VLSI (ECECS)
Neuro-Informatics, Biomechanics, Robotics (BME)
Structural Dynamics Research Lab (MINE)
Autonomous Systems Lab (AEEM)
Propulsion and Power Lab. (AEEM)
Civil Structural Systems Lab. (CEE)
Mobile Computing and Wireless Systems (ECECS)
Center for Robotics Research (MINE)
Smart Structure Bio-nanotechnolgy Research Lab.
(MINE)
Nondestructive Evaluation Lab (AEEM)
Intelligent Systems Group (ECECS)
Fundamentals
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Structural Science Engineering Research
Biomimetic Structural Neural System
Gear dynamics and acoustics
4-axis road simulator
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Smart Materials Nanotechnology Research
Adaptive structural geometry


Array Nanocomposites
Synthesis of Long Arrays of Carbon Nanotubes
Nanotube Needle Probe
A Structural Neural System for Structural Health
Monitoring
Nano-tripod Actuator
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Fast Multi-pole Boundary Element Method

• Fast multipole BEM solvers can solve problems
  beyond the reach of other methods (models with 1
  million surface elements can be solved on a
  desktop PC with 1 GB memory).
• Current record Large-scale models with DOFs
  above 100 millions (These are unknowns on the
  surface, which would require DOFs around 1,000
  billions for domain-based methods).
• Can readily tackle multi-physics and multi-scale
  problems.

MEMS
Electromagnetic wave scatterings (Chew, et al.,
2004)
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Mesh-Free and Particle Modeling Method

• Fully 3D explicit dynamics/implicit quasi-static
  meshfree/FEM code
• Contact/impact
• A wide variety of standard linear/non-linear
  material models hypo- and hyper- elastic,
  elasto-plastic, and elasto-viscoplastic, damage,
  etc.
• Geometric nonlinearity considered (Total
  Lagrangian formulation)
• Parallel and multi-resolution capability

Sheet forming High-speed Impact
Material Failure

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Computational Simulation Visualization


10 128-node PC cluster
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Center for Engine Life Extension
Nondestructive Evaluation
Material and Coating Erosion
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Intelligent and Autonomous Systems
Satellite Formation Dynamic Vehicle Control
Autonomous Robot- Assisted Systems
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Noise Abatement and Aeroacoustics Control
Anechoic test cell
Chevrons
Open Weapons Bay in Supersonic Flight
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Gas Turbine Fuel Spray and Combustion
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Ohio Center for Advanced Propulsion Power
(OCAPP)

• Research Activities at UC
• Aerodynamics
• Heat Transfer
• Materials
• Acoustics
• Combustion
• Industry Partners
• GE Aircraft Engines
• Parker Hannifin
• Glennan Microsystems
• WEBCore
• Timken
• ARGO Tech
• Federal Labs
• NASA GRC
• AF WPAFB

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Examples of Parker/UC Experience

• (2004-2009) Five year fuel nozzle testing and
  service agreement (Parker)
• (1998-2003) Five year combustor ignition research
  agreement (Parker)
• (1998-2003) Coke deposit analysis (Parker)
• (1996-2001) CFD code for fuel nozzle
  (Parker/NASA/OAI)
• (1999-2001) Brazing steel sleeves in fuel
  injection system (Parker)
• (1999-2000) Non-intrusive fuel nozzle inspection
• (1995-2006) GE/Parker fuel injection system (GE)
• (2004-2007) Ohio Center for Advanced Propulsion
  and Power (ODoD)

Fuel Nozzle Endurance Test
GENX Fuel Nozzle Technology
Fuel Line Coking
Fluid Mechanisc of Fuel Nozzle
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Thank you!