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Simulation of Toner Mixing and Delivery System

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Detailed analysis of electro-photographic processes requires modeling of individual particles with DEM models. On the other hand, mixing of toners require analysis of billions of particles which is not practical to analyze using DEM models. One can employ continuum models for solution of such problems. The objective of this development is to couple both types of analyses. DEM models are used in regions which require modeling of microscopic properties of material in one region and continuum models are used to model macroscopic behavior of billions of particles at another. These two models are then analyzed in coupled form. Applications of both models have been demonstrated individually [1, 2]. In this paper only the coupling of these two models is presented. The above approach enables solution of problems such as coupling of mixing region in a printer with charging, development, transfer etc.

Another issue presented in this paper is the determination of macroscopic properties of the continuum model which is a difficult problem. These material properties are determined by comparing the results of the DEM model with the continuum model for simple experiments.

The example problem analyzed in this paper is the feeding of a charging blade with a roller, where mixing is occurring simultaneously with a pedal of larger dimensions.

Document Type: Research Article

Publication date: January 1, 2012

More about this publication?
  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

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