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Kuhn-Munkres Algorithm-Based Matching Method and Automatic Device for Tiny Magnetic Steel Pair.

Zheng Xu1, Guo-Zhao Yuan1, Xiao-Dong Wang1

  • 1Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China.

Micromachines
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

A new method using the Kuhn-Munkres algorithm precisely matches tiny magnetic steel pairs (TMSP), crucial for precision instruments. An automated device ensures stable, efficient, and repeatable TMSP matching for improved instrument performance.

Keywords:
Kuhn–Munkres algorithmmatching methodmicroassemblytiny magnetic steel pair

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Robotics

Background:

  • Tiny magnetic steel pairs (TMSP) are essential components in precision instruments.
  • Improper matching of TMSP can lead to suboptimal instrument performance.

Purpose of the Study:

  • To propose a novel matching method for TMSP utilizing the Kuhn-Munkres algorithm.
  • To develop an automated device for TMSP matching.
  • To validate the method's efficiency and the device's practicability.

Main Methods:

  • Implementation of the Kuhn-Munkres algorithm for TMSP matching.
  • Development of an automated TMSP matching device with a specialized clamp.
  • Integration of a visual/magnetism/force hybrid control strategy for safe manipulation.
  • Experimental validation using TMSBs from a pendulum accelerometer.

Main Results:

  • Numerical experiments confirmed the stability and efficiency of the Kuhn-Munkres algorithm-based method.
  • Matching experiments demonstrated good repeatability (<1 mT) and practicability of the developed device.
  • The hybrid control strategy enabled safe and efficient manipulation in a magnetic environment.

Conclusions:

  • The Kuhn-Munkres algorithm provides a stable and efficient solution for TMSP matching.
  • The automated device is practical and repeatable, suitable for precision applications.
  • The proposed method shows significant potential for various TMSP matching and microassembly tasks.