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Circuit elements are the basic building blocks of an electric circuit. Essentially, an electric circuit is the interconnection of these elements. Within electric circuits, one can find two types of elements: passive and active. Active elements have the ability to generate energy, whereas passive elements do not. Passive elements include components like resistors, capacitors, and inductors, while active elements typically encompass generators, batteries, and operational amplifiers.
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Predicting the behavior of microfluidic circuits made from discrete elements.

Krisna C Bhargava1, Bryant Thompson2, Danish Iqbal1

  • 1Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089.

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|October 31, 2015
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Summary
This summary is machine-generated.

This study presents a workflow for designing microfluidic devices using additive manufacturing, ensuring predictable performance despite manufacturing variations. This approach enables precise, programmable microfluidic circuits for various applications.

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Area of Science:

  • Engineering
  • Chemistry
  • Materials Science

Background:

  • Microfluidic devices offer precise control for chemical analysis and synthesis.
  • Additive manufacturing enables complex microfluidic designs but introduces manufacturing variations.
  • Existing microfluidic fabrication methods have limitations in complexity and scalability.

Purpose of the Study:

  • To develop a design-for-manufacturing workflow for additive manufactured microfluidic devices.
  • To address and mitigate performance variations in microfluidic elements and circuits.
  • To enable the creation of predictable, programmable, and precise microfluidic systems.

Main Methods:

  • Characterization of discrete microfluidic elements by hydraulic resistance and tolerance.
  • Application of network analysis for designing microfluidic circuits.
  • Utilizing Monte Carlo analysis for performance prediction at element and circuit levels.
  • Experimental validation using an osmometry-based mixing behavior protocol.

Main Results:

  • A workflow was established to manage manufacturing variations in additive manufactured microfluidics.
  • Analytical design rules and simulation methods were developed for microfluidic circuits.
  • Experimental results validated the predictive accuracy of the workflow.
  • Two modular, programmable mixing circuits (series and parallel) were successfully designed and demonstrated.

Conclusions:

  • The developed workflow enables reliable mass-manufacturing of complex microfluidic devices.
  • Additive manufacturing can be effectively utilized for producing precise and predictable microfluidic systems.
  • The demonstrated design approach facilitates on-benchtop applications with high precision and programmability.