Norman M. Wereley
University of Maryland, College Park
494 Papers
3.4K Citations
Norman M. Wereley is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Magnetorheological fluid & Damper. The author has an hindex of 53, co-authored 474 publications. Previous affiliations of Norman M. Wereley include Montreal Neurological Institute and Hospital & Massachusetts Institute of Technology.
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Papers
Impact of varying concentrations of nanometer-sized particles in a bidisperse magnetorheological fluid
Julian Trihan,Jin-Hyeong Yoo,Norman M. Wereley,Sambasivarao Kotha,A. Suggs,Radhakumar Radhakrishnan,Tirumalai S. Sudarshan,Brian J. Love +7 more
- 31 Jul 2003
TL;DR: In this article, the authors investigated the effect of varying the weight percent of nanometer sized particles on rheological characteristics such as yield stress and postyield viscosity, and found an optimal composition of the bidisperse fluid to obtain best combination of high yield stress, and low settling rates based on empirical measurements.
13
Shock load mitigation using magnetorheological energy absorber with bifold valves
Min Mao,Wei Hu,Norman M. Wereley,Alan L. Browne,John C. Ulicny +4 more
- 06 Apr 2007
TL;DR: In this article, a flow-mode bifold magnetorheological energy absorber (MREA) was designed and fabricated to operate under piston velocities up to 6.71 m/s and the development of a hydro-mechanical analysis to predict MREA performance.
13
Characterization of a magnetorheological fluid damper using a quasi-steady model
Rebecca A. Snyder,Norman M. Wereley +1 more
- 09 Jun 1999
TL;DR: In this paper, a quasi-steady Bingham plastic damper analysis with experimentally measured steady state damping levels for a magnetorheological (MR) fluid damper is presented.
13
Analysis of Bending Vibration of Rectangular Plates Using Two-Dimensional Plate Modes
TL;DR: In this article, a higher order assumed modes (Ritz) method was developed for rectangular plate analysis using two-dimensional plate mode shape functions using the extended Kantorovich-Krylov method.
12
Massively Parallel Simulations of Chain Formation and Restructuring Dynamics in a Magnetorheological Fluid
Steven G. Sherman,Derek A. Paley,Norman M. Wereley +2 more
- 01 Jan 2011
TL;DR: This paper uses NVIDIA’s CUDA programming environment to simulate over one million particles and can dynamically simulate chain formation and restructuring in a practical millimeter scale fluid volume with realistic solids loading.