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Dive into the research topics where David C. Clark is active.

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Featured researches published by David C. Clark.


Nondestructive Evaluation Techniques for Aging Infrastructure and Manufacturing | 1996

Introduction to the Meandering Winding Magnetometer (MWM) and the grid measurement approach

Neil J. Goldfine; David C. Clark

A new sensor called the Meandering Winding Magnetometer (MWM) and associated grid measurement algorithms is described. The MWM can be used to determine property profiles for ferrous and nonferrous components, to provide repeatable and reproducible measurements on curved surfaces or inspection of difficult to access locations, and to detect and characterize cracks. This paper describes the application of the MWM to detection and characterization of early stage fatigue damage in aluminum and stainless steel. Other potential applications include coating characterization, case depth measurement, crack detection, and embedded sensing. The MWM is a thin and conformable sensor that incorporates both eddy current type sensing and magnetic induction sensing methods to measure conducting and magnetic properties of nonferrous and ferrous metals. The grid measurement approach is a model-based technique used to measure two properties independently, at a single frequency. This grid method also provides a convenient framework for MWM system calibration and processing of multiple frequency data. For example, this permits measurement over a wide frequency range using a single MWM sensor geometry. This paper provides a general introduction to the MWM technology and specific capability demonstrations on ferrous and nonferrous alloys.


international conference on multimedia information networking and security | 1999

New quasi-static magnetic and electric field imaging arrays and algorithms for object detection, identification, and discrimination

Neil J. Goldfine; Darrell E. Schlicker; Andrew P. Washabaugh; David C. Clark; Markus Zahn

Unlike radar-based imaging technologies that use electromagnetic waves, quasistatic imaging technologies operate at lower frequencies where electric and magnetic fields are decoupled. Magnetoquasistatic (MQS) devices, such as metal detectors, that impose magnetic fields satisfy the diffusion equation in conducting media and Laplaces equation in air or poorly conducting soils. Electroquasistatic (EQS) devices satisfy Laplaces equation. In Laplacian or diffusion decay, the amplitude of the magnetic and electric fields decay exponentially with distance from the drive windings or electrode. For quasistatic sensors, objects are detected and imaged through perturbations to the applied magnetic or electric fields that change the mutual transimpedances or transadmittances at the sensor terminals, rather than through time delays of reflected electromagnetic waves as in GPR.


Archive | 1996

Meandering winding test circuit

Neil J. Goldfine; David C. Clark; Homer D. Eckhardt


Archive | 1998

Apparatus for measuring bulk materials and surface conditions for flat and curved parts

Neil J. Goldfine; David C. Clark; Homer D. Eckhardt


Archive | 1998

Method for characterizing coating and substrates

Neil J. Goldfine; Kevin G. Rhoads; Karen E. Walrath; David C. Clark


Archive | 1998

Method of detecting widespread fatigue and cracks in a metal structure

Neil J. Goldfine; David C. Clark; Karen E. Walrath; Volker Weiss; William M. Chepolis


Archive | 2003

Method for material property monitoring with perforated, surface mounted sensors

Neil J. Goldfine; Darrell E. Schlicker; David C. Clark; Karen E. Walrath; Volker Weiss; William M. Chepolis; Andrew P. Washabaugh; Vladimir Zilberstein; Vladimir Tsukernik


Archive | 1998

Magnetometer detection of fatigue damage in aircraft

Neil J. Goldfine; David C. Clark; Karen E. Walrath; Volker Weiss; William M. Chepolis


Archive | 1998

Multiple frequency quantitative coating characterization

Neil J. Goldfine; Kevin G. Rhoads; Karen E. Walrath; David C. Clark


Archive | 1998

Detection par magnetometre de dommages a des aeronefs dus a la fatigue

Neil J. Goldfine; David C. Clark; Karen E. Walrath; Volker Weiss; William M. Chepolis

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Neil J. Goldfine

Massachusetts Institute of Technology

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Kevin G. Rhoads

Massachusetts Institute of Technology

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Andrew P. Washabaugh

Massachusetts Institute of Technology

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Darrell E. Schlicker

Massachusetts Institute of Technology

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Markus Zahn

Massachusetts Institute of Technology

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