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Predictive Design Of Paper Microstructure For Xerographicprinting

机译:静电复印纸微观结构的预测设计

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The authors present a new approach for modeling toner transfer in xerographic printing. Our formalism combines a new three-dimensional (3D) stochastic fiber network model of paper, a 3D model of electrostatic, and contact adhesion forces acting on toner particles in xerographic printing. Our modeling platform allows the authors to study the relative importance of paper surface and mass density variations in establishing the electrostatic and contact adhesion forces crucial in controlling toner transfer efficiency during xerography. Simulations of xerographic printing are used to show that state of compression of the paper surface in the print nip is critical in controlling the distribution of toner onto paper. This is quantified by showing how the paper surface controls the distribution of both the electrostatic and contact adhesion forces that draw toner to paper. In contrast, paper formation, a traditional index of paper quality in the paper industry, is found to play a negligible role as a predictive measure of print uniformity in xerographic printing. Our simulation results are validated against new xerographic printing experiments of black toner onto laboratory handsheets.
机译:作者提出了一种在静电印刷中建模墨粉转移的新方法。我们的形式主义结合了纸张的新的三维(3D)随机纤维网络模型,静电的3D模型以及静电复印中作用在墨粉颗粒上的接触粘附力。我们的建模平台允许作者研究纸张表面和质量密度变化在建立静电和接触粘附力方面的相对重要性,静电和接触粘附力对于控制静电复印过程中的碳粉转移效率至关重要。静电印刷的模拟用于表明在印刷压区中纸表面的压缩状态对于控制墨粉在纸上的分布至关重要。通过显示纸张表面如何控制将墨粉吸引到纸张上的静电力和接触粘合力的分布,可以对此进行量化。相反,发现纸形成是造纸工业中纸张质量的传统指标,在静电复印印刷中作为打印均匀性的预测指标,其作用可忽略不计。我们的模拟结果已针对黑色墨粉在实验室手抄纸上的新静电印刷实验进行了验证。

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