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Related Experiment Video

Updated: Sep 13, 2025

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Modeling of Linear Die Filling Based on Dimensional Analysis Using DEM-CFD Methods.

Jie Li1,2, Sunsheng Zhou1,2, Shiyan Yan1,2

  • 1Institute of Manufacturing Engineering, Huaqiao University, Xiamen 361021, China.

Materials (Basel, Switzerland)
|July 30, 2025
PubMed
Summary

This study introduces a new model for powder die filling, using dimensional analysis and simulations. The model helps predict filling ratios and optimize die design based on material properties and operational parameters.

Keywords:
DEM-CFDcritical valuedimensionless processingpowder die fillingsemi-empirical modeling

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Area of Science:

  • Powder Technology
  • Materials Science
  • Mechanical Engineering

Background:

  • Linear die filling is a crucial industrial process.
  • Existing models lack comprehensiveness and systematic description of powder flow.

Purpose of the Study:

  • To develop a systematic model for powder die filling.
  • To analyze factors influencing powder flow characteristics using dimensional analysis.

Main Methods:

  • Utilized Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD) simulations.
  • Applied dimensional analysis and the Pi theorem to derive dimensionless parameters.
  • Developed a semi-empirical model for linear die filling.

Main Results:

  • Identified key dimensionless parameters: particle size to die depth ratio, solid density number, shoe speed number, and force number.
  • Filling ratio increases with particle size to die depth ratio and solid density number.
  • Filling ratio decreases with increasing shoe speed number due to reduced filling time.

Conclusions:

  • A novel semi-empirical model for linear die filling was established.
  • The model enables computation of minimum shoe speed and die size design.
  • Provides a method for optimizing die filling based on material properties.