Page 33 - ASME IDETCCIE 2017 Program

Panel Sessions
PANELISTS
Richard A. Vaia
Wright-Patterson AFB
Aerospace Materials: Disrupting the Supply Chain
Materials are key to the fruition of revolutionary technologies, and thus
future capability. They are the stuff that engineers innovate with, and thus
must be risk-reduced and available in the supply chain to impact cutting
edge concepts. Understanding what factors into the business case and
what are the competing technologies is foundational to the success of
military R&D laboratories in guiding development of new materials and
manufacturing – design tools within the defense ecosystem. Not only
experience, but an active partnership with academic science through
research and system engineering is paramount in balancing an R&D
organization’s investment between long-term competency development
and product demonstration.
Eric Wong
Raytheon Corp.
Robust Design for Advanced Microelectronic Packages
As electronic system become more complex, the ability to maintain the
structural integrity of the system while protecting the sensitive electronic
components is becoming increasingly difficult to achieve and to evaluate.
Current advances in microelectronics package design will be reviewed.
Methods that have been developed which couple computational analysis
with statistical methods to evaluation these designs and systematically
identify critical design and process parameters will be presented. The
benefits of the implementations of these methods to the development of
robust microelectronic package designs will be demonstrated.
Rajit Gadh
University of California – Los Angeles
Smart Grid via Distributed Coupling of Solar Photovoltaics, Electric
Vehicles, and, Battery Energy Storage Systems
The North American electric grid today is witnessing the fastest pace of
change since its creation about one hundred years ago. States such as
California have seen a substantial rise in the amount of energy generated
from solar photovoltaics (PV) on rooftops. These renewable energy
resources, being intermittent, can potentially destabilize the grid when
scaled up to the level of the entire grid. Electric vehicles (EVs) are being environment and how they are integrated across the fabrication continuum
added at a significant pace in California thereby increasing the load on the
grid at various times of the day. While they may be considered as a load,
their batteries may be exploited as battery energy storage system (BESS)
devices thereby becoming an asset to compensate for the instability
resulting from intermittency caused by renewables. The continuous decline
in the cost of solar PV and lithium ion batteries for EVs is expected to
further propel their growth resulting in further increase in complexity of
balancing the demand and supply of electricity. Management and control
of each of these distributed energy resources (DERs) – generation, storage
and consumption – is a major area of research for the UCLA Smart Grid
Energy Research Center (SMERC). The integration of advanced
technologies, consumer preferences and innovative pricing models to
address the above opportunities and challenges would achieve a modern
grid that allows for higher penetration of renewables, increase in the
number of electric vehicles, higher energy efficiency, improved grid
security and resiliency, and, reduced outages.
IDETC/CIE
In the context of the above issues, the talk will present two relevant
research projects that UCLA’s Smart Grid Energy Research Center (SMERC)
has been involved with.
Jay Lee
University of Cincinnati
Trends and Recent Advances of Industrial Big Data Analytics, AI, and
Cyber Physical Systems for Smart Manufacturing Transformation
Industrial Big Data Analytics, Machine Learning, and Cyber Physical
Systems are changing the way we design product and service systems.
It is clear that as more sensors and smart analytics software are integrated
in industrial products and manufacturing systems, predictive technologies
can further learn and autonomously optimize productivity and performance.
This presentation will address the trends of predictive big data analytics,
AI, and CPS for future smart industrial transformation. First, predictive
analytics, AI, and Cyber-Physical System (CPS) enabled industrial systems
will be introduced. Second, advanced predictive analytics technologies for
self-aware industrial systems with case studies will be presented. Finally,
Dominant Innovation methodology will be introduced using case studies.
Amit Bagchi
Naval Research Laboratory
A Machine Tinkerer, A Technocrat, An Inventor – Journey of One
Mechanical Engineer
Abstract Not Available at Press Time
DEC-4-2 – PANEL
To Be a Makerspace or not to be: Maker Space and Machine 33
Shop Synergies
Monday, August 7
4:00pm–5:40pm
Room 23
Some Mechanical Engineering Departments may be finding themselves at
crossroads between more open maker spaces and traditional machine
shops, where access is often restricted. While each of those spaces has
very specific purposes, this panel will examine maker spaces as a learning
at universities. The panel will start with each panelist introducing the maker
space and/or machine shop facility at their institution and any special/
unique aspect that they may have. Then we will continue with some of the
following questions:
• What is the future of maker spaces, and how are students from
traditional engineering backgrounds benefiting from them?
• How do traditional machine shops fit in the picture? Should shops pivot
away from “production” mentality and embrace rapid prototyping?
Can traditional shops and maker spaces mutually co-exist? And how do
(or should) we overcome the tinkering stereotype for maker spaces?
• What are the state of the art technologies that can enhance the
effectiveness of a fabrication spaces that includes a maker space and
a machine shop?