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Micro-masonry for 3D Additive Micromanufacturing
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Quantifying Discretization Errors in Electrophoretically-Guided Micro Additive Manufacturing.

David Pritchet1, Newell Moser2, Kornel Ehmann3

  • 1Mechanical Engineering Department, Northwestern University, Evanston, IL 60208, USA. davidpritchet2013@u.northwestern.edu.

Micromachines
|November 15, 2018
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Summary
This summary is machine-generated.

This study introduces Electrophoretically-guided Micro Additive Manufacturing (EPμAM), a novel micro-fabrication technique. Process models reveal how discretization errors impact particle deposition, guiding future improvements for precision manufacturing.

Keywords:
control designdesign methodologydielectrophoresiselectrophoretic depositionerror analysisfinite element analysis

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Area of Science:

  • Micro additive manufacturing
  • Colloidal science
  • Computational modeling

Background:

  • Electrophoretically-guided Micro Additive Manufacturing (EPμAM) utilizes microelectrode arrays for particle deposition.
  • Discrete electrode nature and pulse width modulation (PWM) introduce space and time discretization errors.

Purpose of the Study:

  • To develop and validate process models for EPμAM.
  • To analyze trajectory deviations caused by discretization errors.
  • To compare electrode geometries and actuating waveforms for optimized performance.

Main Methods:

  • Finite element method (FEM) models were developed to simulate particle trajectories.
  • Mean square displacement (MSD) analysis quantified trajectory deviations.
  • Electrode geometries and actuating waveforms were systematically varied and simulated.

Main Results:

  • FEM models successfully predicted trajectory deviations due to discretization errors.
  • MSD analysis identified optimal electrode geometries.
  • Simulations revealed significant differences in mechanical impulses generated by various waveforms.

Conclusions:

  • The study provides valuable process insights for EPμAM.
  • Discretization errors moderately affect particle trajectories but significantly impact waveform performance.
  • Recommendations for future model development and error comparison techniques are provided.