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Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
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The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
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Experimental and numerical evaluation for drum dynamic reliability under extremely complex working conditions.

Guochao Zhao1, Xin Jin2, Lijuan Zhao1

  • 1School of Mechanical Engineering, Liaoning Technical University, Fuxin, 123000, China.

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|January 5, 2024
PubMed
Summary

This study optimizes coal mining drum parameters for enhanced reliability. Key findings reveal how traction and rotation speeds impact drum load, stress, and wear, offering insights for improved operational efficiency and safety.

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Area of Science:

  • Mechanical Engineering
  • Mining Engineering
  • Materials Science

Background:

  • Coal mining machine drums face significant damage and malfunction in complex operational environments, impacting coal production efficiency and safety.
  • Understanding drum dynamics under load is crucial for preventing failures and optimizing performance in demanding mining conditions.

Purpose of the Study:

  • To investigate the dynamic reliability of coal mining machine drums by analyzing load, stress, and wear.
  • To establish a mathematical model for drum load based on operational parameters.
  • To determine optimal working parameters for enhancing drum wear resistance.

Main Methods:

  • Development and validation of finite element models for drum-coal rock cutting interactions using virtual simulation and physical experiments.
  • Analysis of drum dynamic reliability through load, stress, and wear simulations.
  • Establishment of a mathematical model relating drum load to traction and drum rotation speeds.
  • Application of orthogonal tests to derive optimal parameters for wear resistance.

Main Results:

  • Drum load increases with traction speed and decreases with drum rotation speed.
  • Increased traction speed (2–6 m/min) leads to a significant rise in pick body stress (average 27.394%).
  • Optimal wear resistance observed at 90 r/min drum rotation speed, 3 m/min traction speed, and projectile loading mode, minimizing wear depth on picks and spiral blades.

Conclusions:

  • The study provides a validated method for assessing drum reliability under operational loads.
  • Identified optimal parameter combinations offer practical guidance for selecting drum working parameters to enhance durability and efficiency.
  • Findings contribute to improving the longevity and performance of coal mining machinery.