喷墨打印机固定单元蒸发热流体过程的数字孪生
A Digital Twin of Evaporative Thermo-Fluidic Process in Fixation Unit of DoD Inkjet Printers
AI总结：
本文提出一种模块化数字孪生，用于模拟喷墨打印机固定单元的蒸发热流体干燥过程，通过图论模型实现模块化，结合线性分数表示法建模蒸发过程，利用PIE框架进行稳定性分析和实时监控。
摘要：
在喷墨打印中，纸张最佳湿度对打印质量至关重要，通过固定单元的热空气冲击实现。本文提出了一种模块化的固定单元数字孪生，建模热流体干燥过程并监控其时空性能。新颖的方法将数字孪生建模为无限维状态估计器，从有限的传感器数据中推断固定状态，同时对干扰具有鲁棒性。模块化通过图论模型实现，其中每个节点代表固定单元不同部分的热流体动力学。蒸发被建模为非线性边界效应，通过线性分数表示法与节点动力学耦合。利用部分积分方程（PIE）框架，我们开发了统一的稳定性、输入输出分析、仿真和快速原型方法，通过商业打印机的操作数据验证。然后合成一个H∞最优卢恩贝格状态估计器，从可用传感器数据中估计热状态，从而实现对纸张板时空热效应的实时监控。
英文摘要：
In inkjet printing, optimal paper moisture is crucial for print quality, achieved through hot-air impingement in the fixation unit. This paper presents a modular digital twin of the fixation unit, modeling the thermo-fluidic drying process and monitoring its spatio-temporal performance. The novel approach formulates the digital twin as an infinite-dimensional state estimator that infers fixation states from limited sensor data, while remaining robust to disturbances. Modularity is achieved through a graph-theoretic model, where each node represents thermo-fluidic dynamics in different sections of the fixation unit. Evaporation is modeled as a nonlinear boundary effect coupled with node dynamics via Linear Fractional Representation. Using the Partial Integral Equation (PIE) framework, we develop a unified approach for stability, input-output analysis, simulation, and rapid prototyping, validated with operational data from a commercial printer. An $\mathcal{H}_{\infty}$-optimal Luenberger state estimator is then synthesized to estimate thermal states from available sensor data, enabling real-time monitoring of spatio-temporal thermal effects on paper sheets.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
