Establishing Digital Recognition and Identification of Microscopic Objects for Implementation of Artificial Intelligence (AI) Guided Microassembly

07/22/2021
by   Tuo Zhou, et al.
0

s miniaturization of electrical and mechanical components used in modern technology progresses, there is an increasing need for high-throughput and low-cost micro-scale assembly techniques. Many current micro-assembly methods are serial in nature, resulting in unfeasibly low throughput. Additionally, the need for increasingly smaller tools to pick and place individual microparts makes these methods cost prohibitive. Alternatively, parallel self-assembly or directed-assembly techniques can be employed by utilizing forces dominant at the micro and nano scales such as electro-kinetic, thermal, and capillary forces. However, these forces are governed by complex equations and often act on microparts simultaneously and competitively, making modeling and simulation difficult. The research in this paper presents a novel phenomenological approach to directed micro-assembly through the use of artificial intelligence to correlate micro-particle movement via dielectrophoretic and electro-osmotic forces in response to varying frequency of an applied non-uniform electric field. This research serves as a proof of concept of the application of artificial intelligence to create high yield low-cost micro-assembly techniques, which will prove useful in a variety of fields including micro-electrical-mechanical systems (MEMS), biotechnology, and tissue engineering.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

09/19/2017

Tilt Assembly: Algorithms for Micro-Factories That Build Objects with Uniform External Forces

We present algorithmic results for the parallel assembly of many micro-s...
07/04/2018

Efficient Parallel Self-Assembly Under Uniform Control Inputs

We prove that by successively combining subassemblies, we can achieve su...
07/05/2019

Automated Non-Destructive Inspection of Fused Filament Fabrication Components Using Thermographic Signal Reconstruction

Manufacturers struggle to produce low-cost, robust and complex component...
10/23/2019

The Task Analysis Cell Assembly Perspective

An entirely novel synthesis combines the applied cognitive psychology of...
10/01/2019

Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites

Swarms of molecular robots are a promising approach to create specific s...
02/25/2022

Self-Stabilizing Self-Assembly

The emerging field of passive macro-scale tile-based self-assembly (TBSA...
12/01/2017

Shape Complementarity Analysis for Objects of Arbitrary Shape

The basic problem of shape complementarity analysis appears fundamental ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.