Satish Udpa
University Distinguished Professor | Michigan State University
East Lansing, MI, UNITED STATES
Satish Udpa's research interests span the broad area of materials characterization and nondestructive evaluation (NDE).
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Biography
Satish Udpa is a University Distinguished Professor of Electrical and Computer Engineering, former Acting President of Michigan State University, and former Dean of the College of Engineering and a former Chair of the Department of Electrical and Computer Engineering. His research interests span the broad area of materials characterization and nondestructive evaluation (NDE). His work includes an extensive repertoire of forward models for simulating physical processes underlying several inspection techniques. Coupled with careful experimental work, such forward models can be used for designing new sensors, optimizing test conditions, estimating the probability of detection, assessing designs for inspectability and training inverse models for characterizing defects. His expertise includes the development and design of novel transducers. Professor Udpa is currently serving as the Interim Director of Mobility and has an appointment in MSU's Ecology, Evolution and Behavior Program.
Industry Expertise (2)
Education/Learning
Events Services
Areas of Expertise (2)
Non-destructive Testing
Materials
Education (3)
Colorado State University: Ph.D., Electrical Engineering 1983
Colorado State University: M.S., Electrical Engineering 1980
J.N.T. University: B.S., Electrical Engineering 1975
Affiliations (4)
- Fellow, Institute of Electrical and Electronic Engineers, American Society for Nondestructive Testing (ASNT) and the Indian Society of Nondestructive Testing
- Editor, ASNT Electromagnetic NDE Methods Handbook
- Editor, IEEE Transactions on Magnetics (2007-2017) and the International Journal of Applied Electomagnetics (2011-2020)
- Fellow, U.S. National Academy of Inventors
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News (1)
Satish Udpa is MSU's new interim president: 6 things to know about him
Detroit Free Press online
2019-01-17
The Michigan State University board Thursday named Satish Udpa to be the new interim president, replacing John Engler, who was forced out. Many trustees said Udpa brings integrity back to the position. Here's what we know about Udpa, 68:
Journal Articles (5)
Frequency Domain Analysis of Magnetic Field Images Obtained using TMR Array Sensors for Subsurface Defect Detection and Quantification
NDT & E International2020 Quantitative characterization of subsurface defects is a challenging problem in eddy current testing (ECT), not only due to the limitation of the penetration depth of eddy currents, but also due to the ill-posed nature of the inverse problem associated with quantifying a defect's 3D dimensions and its location in the test sample from measurements made on the sample surface. This paper presents a new ECT method for subsurface defect detection and quantification. Eddy currents with continuously varying frequency in a selected frequency band is induced in the conductive sample by using a chirp modulated excitation scheme. The frequency band of the chirp waveform is chosen so that the penetration depth of eddy current in the selected frequency band covers the thickness of the sample under test.
Enhancement of Microwave Time Reversal Imaging using Metallic Reflectors
Nondestructive Testing and Evaluation2020 There is a growing interest in the use of composites in several industries such as aerospace, automotive and civil infrastructure due to their unique properties such as light-weight, corrosion resistance and excellent thermo-mechanical properties. However, it is critical to ensure that no defects, such as disbonds, voids and delaminations are introduced during fabrication or during service. A variety of nondestructive evaluation (NDE) techniques have been proposed and developed to detect such defects that can compromise the integrity of these structures. Microwave NDE techniques are well suited for inspection of dielectric materials such as composites because of the ability of electromagnetic waves to interact with these materials.
A Time Reversal-Based Microwave Imaging System for Detection of Breast Tumors
IEEE Transactions on Microwave Theory and Techniques2020 Time reversal (TR) relies on the reciprocity nature of the wave equation. Waves diverging away from a source can be time reversed and back-propagated to focus back at the source. The transmitting and receiving antenna arrays utilized for TR are collectively termed as the TR mirror (TRM). TR imaging in the microwave regime has shown its promise in nondestructive inspection and target localization. This paper deals with the design of a microwave TRM for the detection of breast tumors. The first part of this paper discusses TR simulations based on a signal processing algorithm, to obtain the tumor location from the total fields. The processed time-reversed fields can be back-propagated in a numerical model to focus the wave at the tumor locations.
Enhancement of Microwave Imaging Using a Metamaterial Lens
IEEE Sensors Journal2019 Microwave far-field imaging techniques are well suited to image source, scatterers, and anomalies in dielectric or composite materials. However, the diffraction limits restrict the resolution of far-field imaging. This contribution focuses on the feasibility of designing a metamaterial lens based sensor for enhancing the resolution of microwave far-field imaging. Metamaterials have been increasingly used in the past few decades for the designing of novel microwave circuits and sensor systems. The unique properties of metamterials offer several advantages, such as sub-wavelength nature, compact design, and super-resolution, which is not found in the conventional materials. The feasibility of enhancing imaging resolution using a metamaterial lens along with time reversal processing of far-field microwave data is studied in this paper.
Permeability invariance transformation for inspection of magnetized steel rivets
International Journal of Applied Electromagnetics and Mechanics2019 Eddy current methods are commonly used in the inspection of riveted multilayer structures. In a practical scenario, steel rivets may be magnetized to varying levels which can distort the magnetic field and pose a major challenge since the distortion can result in false positives and negatives. This paper presents an invariance transformation procedure that renders the signal insensitive to changes in magnetization while retaining the sensitivity to defect information. The approach is first implemented on simulated data, where the signals from magnetized steel rivets can be generated under controlled variation of relative permeability. The algorithm is then validated on experimental data acquired using steel rivets with different residual magnetization levels.
