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Symposia





              first-order optimal designs and are a basic and efficient method for either   Biography
              demonstrating design feasibility or refining design parameters.  Although   Dr. Eric J. Ruggiero received his Ph.D. from Virginia Tech in Mechanical
              the design and integration of an SMA-based actuation system always   Engineering in 2005 from the Center for Intelligent Material Systems and
              requires application- and environment-specific engineering consider-  Structures as a National Science Foundation graduate research fellow.
              ations, common modeling tools can significantly reduce the investment   Upon graduation, Dr. Ruggiero started his industrial research career at GE
              required for actuation system development and provide valuable   Global Research in Niskayuna, New York. From 2011 through 2014, he
              engineering insight.                                    served as Lab Manager for the Turbine Heat Transfer Technologies
                                                                      Laboratory, where he led global research teams on the innovation, design,
                                                                      test, and validation of advanced cooling schemes for gas turbines.  At GE
                                                                      Global Research, he led $25MM in R&D efforts in the field of gas turbines
              Biography                                               for GE.  He was recently promoted in 2014 to Engineering Manager for the
              Robert Wheeler is a Ph.D. candidate in the Aerospace Engineering   Sustaining Commercial Thermal Systems Design team at GE Aviation in
              Department of Texas A&M University studying under Dr. Dimitris Lagou-  West Chester, Ohio.  In this role, Dr. Ruggiero has responsibility for the hot
              das. His work focuses on SMA actuator design and actuation fatigue   gas path thermal design for GE’s commercial aviation fleet.  He has
              characterization and modeling.  He received his B.S. in Aeronautics and   published over 30 peer-reviewed manuscripts, issued over 15 patents, and
              Astronautics from the Massachusetts Institute of Technology in 2012.
                                                                      has received numerous awards from AIAA and ASME, including the 2013
                                                                      AIAA Lawrence Sperry Award and an invitation to the 2013 NAE US
                                                                      Frontiers of Engineering Forum.  He is an Associate Fellow of the AIAA,
              THE DIGITAL INDUSTRIAL REVOLUTION IN AEROSPACE AND      and a Lifetime Member of the ASME.  You can follow him on Twitter
              PROPULSION                                              @EricRuggieroGE.


                            Eric Ruggiero
                            GE Aviation                               SYMPOSIUM 5
                            West Chester, OH
                                                                      RETHINKING STRUCTURAL HEALTH MONITORING:
                                                                      OUTSMARTING FATIGUE

              Abstract
              In the past 5 years, the intersection of high speed microprocessors,   Ed Habtour
              inexpensive data storage, and wireless communication technology has led   Chief Scientist Office and Vehicle Technology
              to a paradigm shift in how physical assets are operated and monitored.    US Army Research Laboratory (ARL)
              While the use of Prognostic Health Monitoring has been fairly common-  Directorate, MD
              place in military aircraft products over the past two decades or more, this
              paradigm shift has now bridged and expanded into the commercial   Abstract
              aviation marketspace.  Leveraging GE’s deep domain knowledge with   Due to the unsustainable maintenance costs of high-value Army vehicles
              data streams from engine assets is at the heart of the Digital Industrial   that operate in complex environments, the US Army Research Laboratory
              revolution.
                                                                      (ARL) has been pursing fundamental research efforts to outsmart fatigue.
              Digital Industrial is more than just data.  It’s maximizing value for customer   Over the past two years, ARL’s efforts required transitioning traditional
              fleets in a number of ways, including:  Asset Monitoring, to help reduce   structural health monitoring (SHM) methodologies to Closed-Loop
              unplanned maintenance and inspection burden; Fleet Optimization, to   Adaptive State Awareness Systems. As a result, we recalibrated our efforts
              ensure flight paths and fuel burn are as efficient as possible; and Improved   to address three major technical objectives: i) detecting and identifying
              Reliability, to understand changes in operation severity that may adversely   Precursors to Fatigue Damage, ii) minimizing the number of sensors
              affect the performance of the product.  And this is just the beginning.  through Collaborative Sensing, and iii) modifying the control laws to the
                                                                      system current state within an Integrated State Awareness and Control.
              This presentation will illustrate the framework that makes the Digital   The presentation will provide an overview of damage precursor research
              Industrial possible in the aircraft engine industry, connecting the dots   and breakthroughs at ARL over the past two years. The local (nano and
              between sensors, digital twin models, and analytics to provide additional   microscale) understanding of the material evolution connection to
              value to the customer.  Examples will be provided to illustrate how   meso-scale and then global stimuli (vibrations, shocks, and thermal cycles)
              analytics are used to help the customer and product.  The presentation   and response at the macro-scale through Collaborative Sensing will be
              will also discuss some of the challenges facing industry today, providing   discussed. Connecting precursors detection and collaborative sensing to
              context for future research directions.                 the vehicle control laws is profoundly a new innovation in achieving
                                                                      bio-inspired health awareness and adaptation to extend the life of high
                                                                      value systems.
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