James Norman Barshinger
General Electric
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Publication
Featured researches published by James Norman Barshinger.
REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION | 2007
K M Manoj Kumar; Shivappa Goravar; Vamshi Krishna Reddy Kommareddy; Ying Fan; James Norman Barshinger; May Andrew; Wang Xuefeng
Performance of MEMS devices relies largely on the interaction between structural actuation membranes and fluids surrounding them. When optimizing these MEMS design it is importent to consider the general characteristics of this fluid‐structure interaction. Finite Element approach is used to study the effect of mass damping and stiffness damping arising due to micro fluid layers in Micro‐machined Air‐coupled Capacitance transducer. Transient dynamics of these systems are completely driven by this fluid‐structure interaction. The aim of this paper is to understand the variations in mass and stiffness damping with frequency of operation. Furthermore, the effect of the mass and stiffness damping with geometrical parameters and transient behavior of the system are discussed.
Quantitative Nondestructive Evaluation | 2006
Manvinder Singh; Vamshi Krishna Reddy Kommareddy; Manoj Kumar; Sivaramanivas Ramaswamy; Ying Fan; James Norman Barshinger; Wei-Cheng Tian; Kuna Venkat Satya Rama Kishore
This paper presents a comparison of three Finite Element approaches for modeling the behavior of a Capacitive Micromachined Ultrasonic Transducer (CMUT). CMUTs have become very popular over the last decade because of the comparable bandwidth, sensitivity and dynamic range with its piezoelectric counterparts. The ease of fabrication is an added advantage. Modeling of CMUTs is a coupled physics problem, which involves solving Electrostatics and Structural interactions simultaneous. Finite Element models of the CMUT are constructed using the commercial code ANSYS (9.0). Three different approaches of solving the coupled field problem are discussed and the results are compared for resonance frequency, collapse voltage, capacitance and electromechanical coupling coefficient. The approaches discussed involve sequentially coupled‐field analysis, direct coupled‐field analysis and reduced order modeling. Detailed results have been presented for the effect of variation in geometrical factors as predicted by the thre...
Archive | 2003
Thomas James Batzinger; Wei Li; Robert Snee Gilmore; Edward James Nieters; William Thomas Hatfield; Richard Eugene Klaassen; James Norman Barshinger; Bruno Hans Haider; Carl L. Chalek; Robert John McElligott; David Charles Franklin
Archive | 2003
James Norman Barshinger; Thomas James Batzinger; Wei Li; John Broddus Deaton; David Paul Lappas; Robert Snee Gilmore; Richard Eugene Klaassen
Archive | 2004
James Norman Barshinger; Sandeep Kumar Dewangan; Sivaramanivas Ramaswamy; Jian Li
Archive | 2007
Thomas James Batzinger; Andrzej May; James Norman Barshinger; Scott Roger Finn
Archive | 2009
Prabhjot Singh; Martin Kin-Fei Lee; James Anthony Brewer; Paul Aloysius Meyer; Thomas James Batzinger; Venkat Subramaniam Venkataramani; James Norman Barshinger; Ernest Wayne Balch
Archive | 2013
Wei Luo; James Norman Barshinger; Debasish Mishra; Anusha Rammohan
Archive | 2008
Yanyan Wu; Edward James Nieters; Thomas James Batzinger; Nicholas Joseph Kray; James Norman Barshinger; Jian Li; Waseem Ibrahim Faidi; Prabhjot Singh; Francis Howard Little; Michael Everett Keller; Timothy Jesse Sheets
Archive | 2007
Qiwei Lu; Robert James Perry; Michael Joseph O'brien; Ying Fan; James Norman Barshinger