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Chia Yu Lin and Steven L. Manley. Bromoform production from - ASLO

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WORKSHOPS<br />

Workshop 1: Non-Contact Vibration<br />

Characterization<br />

Sunday, August 28, 2011<br />

8:00am–5:00pm Location: Columbia A<br />

Instructors: David Oliver (d.oliver@polytec.com)<br />

Jerome Eichenberger<br />

(j.eichenberger@polytec.com)<br />

Overview:<br />

Laser Doppler vibrometry has been used for non-contact<br />

vibration characterization for several decades by leading<br />

research institutes <strong>and</strong> companies. The technology has<br />

become instrumental in a wide range of applications that include<br />

automotive, aerospace, defense, data storage, micro<br />

electronics (MEMS), ultrasonics <strong>and</strong> medical industries. Noncontact<br />

vibration sensors are being used for basic research,<br />

design development, model verification, process control, <strong>and</strong><br />

to troubleshoot unwanted vibration. A wide variety of laser<br />

Doppler vibrometers are available, each tailored towards specific<br />

needs. Single point vibrometers measure the vibration response<br />

at just one location. Dual beam vibrometers are used to<br />

measure vibrations at two points to remove common mode<br />

vibrations. Rotational vibrometers measure the dynamics of a<br />

rotating shaft or spindles. Among the higher-end systems, 3D<br />

scanning systems are used to measure a tri-axial response <strong>and</strong><br />

map the vibrations across the entire surface of an object.<br />

The morning session of the workshop will be focused on<br />

dynamic characterization of macrostructures (structures ranging<br />

in dimension <strong>from</strong> 1cm to 10s of meters) <strong>and</strong> the afternoon<br />

session will be geared towards microstructure applications.<br />

Each workshop session will consist of two parts: 1) an overview<br />

over the fundamental principles of laser Doppler vibrometry <strong>and</strong><br />

how it integrates seamlessly into the design <strong>and</strong> development<br />

process, <strong>and</strong> 2) a h<strong>and</strong>s-on demonstration on Polytec’s highend<br />

scanning vibrometers.<br />

49<br />

WORKSHOPS<br />

Workshop 2: Mechanical Engineering Design<br />

Knowledge Modeling<br />

Sunday, August 28, 2011<br />

8:00am–5:00pm Location: Columbia B<br />

Instructors: David Rosen (david.rosen@me.gatech.edu)<br />

Joshua Summers (jsummer@clemson.edu)<br />

Overview:<br />

The primary objective of this proposed workshop is to clearly<br />

define the needs <strong>and</strong> develop an outline for a research program<br />

for capturing, representing, <strong>and</strong> modeling mechanical<br />

engineering (ME) design knowledge. The idea is to model<br />

knowledge about ME principles, for instance the conservation<br />

of mass <strong>and</strong> energy, <strong>and</strong> their application to ME devices <strong>and</strong><br />

systems using st<strong>and</strong>ard techniques such as free-body diagrams<br />

or control volumes. Further, the knowledge about how to<br />

formulate models of devices <strong>and</strong> of design decisions should be<br />

modeled. The proposed research program is a much gr<strong>and</strong>er<br />

vision than other NSF sponsored projects <strong>and</strong> programs that<br />

were focused on collecting repositories for artifacts (functions,<br />

geometries, behaviors, etc.). A formalized language of<br />

mechanical engineering is envisioned that will allow engineers to<br />

communicate more precisely between each other <strong>and</strong> with<br />

computers. The resulting formalized ME design knowledge <strong>and</strong><br />

language will be encoded <strong>and</strong> implemented in an openknowledge<br />

repository. Such a knowledge repository could<br />

capture the disparate <strong>and</strong> representationally diverse ME<br />

knowledge of typical undergraduate students providing<br />

numerous benefits: 1) st<strong>and</strong>ard for ME knowledge, 2) a<br />

knowledge base to support engineering design, 3) a knowledge<br />

base for computer-aided tutoring systems, <strong>and</strong> 4) more<br />

generally a key component of the ME research <strong>and</strong> education<br />

infrastructure. When considering the challenges associated<br />

with developing a true Mechanical Engineering modeling<br />

language (MEml), collaboration with many disciplines is<br />

necessary. A convergence of artificial intelligence, engineering<br />

informatics, description logics, <strong>and</strong> the semantic web with<br />

mechanical engineering design research will be the enabling<br />

factor to realize the vision of this research proposal <strong>and</strong><br />

workshop. The workshop is funded by a NSF grant <strong>from</strong> the<br />

Engineering Design program in the CMMI Division.

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