Sam Behrens

Dr. Sam Behrens

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Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 December 2008 in Sensors
Verified
Journal Article
Open access
PDF file
CKChris Knight
Chris Knight
JDJoshua Davidson
Joshua Davidson
SBSam Behrens
Sam Behrens
Reduction in size and power consumption of consumer electronics has opened up many opportunities for low power wireless sensor networks. One of the major challenges is in supporting battery operated devices as the number of nodes in a network grows. The two main alternatives are to utilize higher energy density sources of stored energy, or to generate power at the node from local forms of energy. This paper reviews the state-of-the art technology in the field of both energy storage and energy harvesting for sensor nodes. The options discussed for energy storage include batteries, capacitors, fuel cells, heat engines and betavoltaic systems. The field of energy harvesting is discussed with reference to photovoltaics, temperature gradients, fluid flow, pressure variations and vibration harvesting.

22 February 2005 in IEEE/ASME Transactions on Mechatronics
Verified
Journal Article
Closed access
SBSam Behrens
Sam Behrens
AFA.J. Fleming
A.J. Fleming
SMS.O.R. Moheimani
S.O.R. Moheimani
This work will present a new type of passive vibration control technique based on the concept of electromagnetic shunt damping. The proposed technique is similar to piezoelectric shunt damping, as an appropriately designed impedance is shunted across the terminals of the transducer. Theoretical and experimental results are presented for a simple electromagnetic mass spring damper system.

21 September 2011 in Journal of Intelligent Material Systems and Structures
Verified
Journal Article
Closed access
ICIan L. Cassidy
Ian L. Cassidy
JSJeffrey T. Scruggs
Jeffrey T. Scruggs
SBSam Behrens
Sam Behrens
HGHenri P. Gavin
Henri P. Gavin
This article reports on the design and experimental characterization of an electromagnetic transducer for energy harvesting from large structures (e.g., multistory buildings and bridges), for which the power levels can be above 100 W and disturbance frequencies below 1 Hz. The transducer consists of a back-driven ballscrew coupled to a permanent-magnet synchronous machine with power harvesting regulated via control of a four-quadrant power electronic drive. Design considerations between various subsystems are illustrated and recommendations in terms of minimal values are made for each design metric. Developing control algorithms to take full advantage of the unique features of this type of transducer requires a mechanical model that can adequately characterize the device’s intrinsic nonlinear behavior. A new model is proposed that can effectively capture this behavior. Comparison with experimental results verifies that the model is accurate over a wide range of operating conditions. As such, the model can be used to assess the viability of the technology and to correctly design controllers to maximize power generation. To demonstrate the device’s energy harvesting capability, impedance matching theory is used to optimize the power generated from a base-excited tuned mass damper. Both theoretical and experimental investigations are compared and the results are shown to match closely.

1 July 2012 in Renewable Energy
Verified
Journal Article
Closed access
SBSam Behrens
Sam Behrens
Jennifer HaywardJennifer Hayward
Jennifer Hayward
MHMark Hemer
Mark Hemer
POPeter Osman
Peter Osman

21 February 2006 in IEEE/ASME Transactions on Mechatronics
Verified
Journal Article
Closed access
DND. Niederberger
D. Niederberger
SBSam Behrens
Sam Behrens
AFA.J. Fleming
A.J. Fleming
SMS.O.R. Moheimani
S.O.R. Moheimani
MMM. Morari
M. Morari
This paper presents a new type of passive vibration control: adaptive electromagnetic shunt damping. We propose a single-mode resonant shunt controller that adapts to environmental conditions using two different adaptation strategies. The first technique is based on minimizing the root mean square (RMS) vibration, while the second minimizes the phase difference between two measurable signals. An experimental comparison shows that relative phase adaptation performs better than the RMS technique.

9 October 2023 in Journal of Cleaner Production
Verified
Journal Article
Open access
AKAshish Kumar Karmaker
Ashish Kumar Karmaker
SBSam Behrens
Sam Behrens
MHM.J. Hossain
M.J. Hossain
HPHemanshu Pota
Hemanshu Pota