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Volume: 24 | Article ID: art00052_1
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Xerographic Printing System Performance Optimization by Toner Throughput Control
Eric Gross
Palghat Ramesh
  DOI :  10.2352/ISSN.2169-4451.2008.24.1.art00052_1  Published Online :  January 2008
Abstract

For two component xerographic development systems the toner concentration and the average toner residence time in the developer sump are desired to be within optimal ranges for acceptable image quality. The toner concentration and the average toner residence time are coupled such that independent ranges are not typically achievable and so a tradeoff must be managed. Also the required toner for any given job is highly variable and not known well in advance, yet significantly impacts the two aforementioned parameters. In this paper we propose and demonstrate a model predictive control design framework to optimally manage toner throughput to achieve performance objectives.

Journal Title : NIP & Digital Fabrication Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/ISSN.2169-4451.2008.24.1.art00052_1
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Eric Gross, Palghat Ramesh, "Xerographic Printing System Performance Optimization by Toner Throughput Control"  in Proc. IS&T Int'l Conf. on Digital Printing Technologies and Digital Fabrication (NIP24),  2008,  pp 195 - 198,  https://doi.org/10.2352/ISSN.2169-4451.2008.24.1.art00052_1

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Copyright © Society for Imaging Science and Technology 2008
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NIP & Digital Fabrication Conference
nip digi fabric conf
2169-4451
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2169-4451(20080101)2008:1L.195;1-
nip_v2008n1/splitsection52.xml
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Articles
Xerographic Printing System Performance Optimization by Toner Throughput Control
GrossEric
RameshPalghat
01012008
2008
1
195
198
2008
For two component xerographic development systems the toner concentration and the average toner residence time in the developer sump are desired to be within optimal ranges for acceptable image quality. The toner concentration and the average toner residence time are coupled such that independent ranges are not typically achievable and so a tradeoff must be managed. Also the required toner for any given job is highly variable and not known well in advance, yet significantly impacts the two aforementioned parameters. In this paper we propose and demonstrate a model predictive control design framework to optimally manage toner throughput to achieve performance objectives.