Prediction of optimum milling condition and power consumption

Junya Kano, Yuichiro Suzuta, Fumio Saito

Research output: Contribution to conferencePaper

Abstract

A simultaneous prediction method for power consumption and particle size during ball milling is developed by using DEM (Discrete Element Method) simulation. The power consumption during planetary ball milling with a parameter of ball diameter was measured with a wattmeter. While, the power consumption is calculated on the basis of the simulation of balls motion in planetary ball milling by DEM. The smaller size ball needs more power consumption in both cases. The calculated power consumption agrees with the measured one. On the other hand, gibbsite powder samples were ground with the planetary ball mill to investigate the grinding rate constant. The grinding rate constant is found to be well correlated with the power consumption. Therefore DEM simulation would make possible to predict particle size and power consumption simultaneously.

Original languageEnglish
Publication statusPublished - 2006 Dec 1
Event2006 AIChE Spring National Meeting - 5th World Congress on Particle Technology - Orlando, FL, United States
Duration: 2006 Apr 232006 Apr 27

Other

Other2006 AIChE Spring National Meeting - 5th World Congress on Particle Technology
CountryUnited States
CityOrlando, FL
Period06/4/2306/4/27

Keywords

  • DEM
  • Grinding rate constant
  • Power consumption
  • Simulation

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)

Fingerprint Dive into the research topics of 'Prediction of optimum milling condition and power consumption'. Together they form a unique fingerprint.

  • Cite this

    Kano, J., Suzuta, Y., & Saito, F. (2006). Prediction of optimum milling condition and power consumption. Paper presented at 2006 AIChE Spring National Meeting - 5th World Congress on Particle Technology, Orlando, FL, United States.