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Dive into the research topics where Shankar Chandrasekaran is active.

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Featured researches published by Shankar Chandrasekaran.


IEEE\/ASME Journal of Microelectromechanical Systems | 2010

A Hybrid MEMS–Fiber Optic Tunable Fabry–Perot Filter

David C. Hays; Anis Zribi; Shankar Chandrasekaran; Shivappa Goravar; Sandip Maity; Leonard Richard Douglas; Kevin Hsu; Ayan Banerjee

This paper describes a bulk-micromachined electrostatically tunable Fabry-Perot interferometric filter. The device is a hybrid optical filter combining fiber optics and microelectromechanical systems (MEMS) technologies. The static mirror is a Bragg grating mirror built on the end face of an optical fiber that is integrated with a MEMS device, which includes the tunable gold-coated mirror. The MEMS device is fabricated in ¿100¿-oriented silicon wafers using modified and optimized batch MEMS processes. A two-stage approach was used to achieve high finesse (F) and broad tunability simultaneously. In the first stage, actuator issues and mirror structural defects were corrected for by optimizing the fabrication-process parameters. In this stage, near-theoretical performance has been achieved with a pure Si MEMS tunable etalon. In stage two, optical fibers with dielectric stack mirrors from Micron Optics, Inc. have been integrated with the MEMS devices to form tunable cavities. The device insertion loss was below 15 dB and was mostly attributed to absorption losses in the gold coating. We measured a pass bandwidth of around 0.54 nm and a tuning range of nearly 120 nm resulting in an F of over 220.


IEEE Sensors Journal | 2010

Probabilistic Analysis of a Comb-Drive Actuator

Shivappa Goravar; Shankar Chandrasekaran; Anis Zribi

In the present paper, we discuss about design methodology to study the reliability of a microelectromechanical systems device. The proposed methodology was illustrated for design of a comb-drive actuator. In particular, effect of variations introduced in the design parameters due to the fabrication process and their impact on reliability of a comb-drive actuator is reviewed in detail. We use Crystal Ball® (Decisioneering, Inc., 2000), a probabilistic analysis tool to analyze the performance of comb-drive actuator. The present method requires an analytical model or transfer function derived using experimental data to study the variation in output due to variations in input parameters. We developed an analytical model for displacement of actuator and verified the analytical model using finite element model. This analytical model was used to study the variation in displacement of comb-drive actuator. This methodology uses a combination detailed experimental studies done to establish fabrication limitations or capabilities. The analysis and final design selection was based on a combination of Crystal Ball® studies and fabrication constraints. The same methodology could be extended to study the reliability of MEMS sensors and actuators due to variations on process parameters.


ieee sensors | 2007

An approach for the study of reliability for a MEMS magnetic actuator

Ertugrul Berkcan; Shankar Chandrasekaran; Marco Francesco Aimi

This paper presents a summary of the design for reliability and the reliability test procedures used for the design, fabrication and testing of a MEMS magnetic actuator. The MEMS device reliability is determined incorporating device structure, its fabrication process, the packaging, & their interacting contributions. The goal of the MEMS actuator reliability design task is to increase the probability of failure free operation of a MEMS based system for a specified time period and the use environment. The design for reliability and the subsequent reliability testing procedures are used to determine the reliability of the MEMS actuator and enable the determination of the reliability of the final product that the MEMS device is becoming part of.


Archive | 2007

Micro-electromechanical system (MEMS) based current & magnetic field sensor having improved sensitivities

Ertugrul Berkcan; Shankar Chandrasekaran; Christopher James Kapusta; Laura Jean Meyer; Glenn Scott Claydon; Debbie Gahaton Jones; Anis Zribi


Archive | 2008

Method and apparatus for improved signal to noise ratio in raman signal detection for mems based spectrometers

Sandip Maity; Ayan Banerjee; Anis Zribi; Stacey Joy Kennerly; Long Que; Glenn Scott Claydon; Shankar Chandrasekaran; Shivappa Goravar


Archive | 2006

Compact, hand-held Raman spectrometer microsystem on a chip

Anis Zribi; Stacey Joy Kennerly; Glenn Scott Claydon; Long Que; Ayan Banerjee; Shankar Chandrasekaran; Shivappa Goravar; David Cecil Hays


Archive | 2012

Self-adhering electrodes and methods of making the same

Shankar Chandrasekaran; Nikhil Subhashchandra Tambe; Donald E. Brodnick


Archive | 2006

Collection probe for use in a Raman spectrometer system and methods of making and using the same

Anis Zribi; Ayan Banerjee; Shivappa Goravar; Shankar Chandrasekaran; Sandip Maity; Glenn Scott Claydon; Stacey Joy Kennerly; Todd Ryan Tolliver; David C. Hays; Sheila Neumann Tandon; Long Que; Christopher Fred Keimel


Archive | 2012

Flow sensor with mems sensing device and method for using same

Ertugrul Berkcan; Stanton Earl Weaver; Shankar Chandrasekaran; Nannan Chen


Archive | 2005

Thermopile-based gas sensor

Sunil Srinivasa Murthy; Anis Zribi; Shankar Chandrasekaran

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Long Que

Iowa State University

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Ayan Banerjee

National Center for Science Education

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