Electrical & Computer Engineering  College of Engineering 

ECE Master of Science Thesis Defense By Wisdom Amfo-Otu

Date(s): 4/24/2013 9:00 AM - 4/24/201311:00 AM
Location: Lester W. Cory Conference Room, SENG - Room 213A
Contact: David P. Rancour drancour@umassd.edu 508-999-8466


TOPIC: “MODELING AND DESIGNING OF MICRO-FLUIDIC SENSOR”

ABSTRACT:
A microfluidic device is a type of device that has one or more channels with at least one dimension less than 1mm. The microfluidic technologies enable the fabrication of highly integrated devices for performing several different functions on the same substrate chip. The field of microfluidics is a relatively immature field; hence numerical simulations of microfluidic systems are extremely valuable both in terms of providing a research tool and as an efficient design and optimization tool. As the surface to volume ratio is increased when dealing with very small dimensions, the physical and chemical surface effects start to play an important role in the behavior and structure of the model; hence a systematic and vibrant approach was used in this research by designing and simulating flow-temperature sensors for optimal results using multi-physics finite element software. The complexities of channel geometry, fluid flow rates, and diffusion coefficients were incorporated into a numerical model and the behavior of the system was predicted. The modeled sensor is able to measure flow and temperature with rms error of 1.506% and 0.246% respectively. The system was simulated over a flow range of 1uL/min to 500uL/min but can measure above and below those ranges. The results clearly show that a pulsed bias approach will provide a simpler sensor architecture, faster operation and lower power consumption.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend.
Open to the public.

Advisor: Dr. David P. Rancour
Committee Members: Dr. Dayalan Kasilingam, and Dr. Jonathan P. Rothstein


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