Drop Volume Control in Drop-on-Demand Inkjet Printing

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS
Jie Wang, Xia Chen, G. Chiu
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引用次数: 2

Abstract

Drop-on-demand (DoD) inkjet printing is used in precise-dosage deposition applications where consistent drop volume is important. Existing drop volume regulation in DoD inkjet printing are mainly open-loop approaches that are not effective in compensating for uncertainties during high volume printing applications. In this paper, a real-time image-based feedback system is proposed for regulating drop volume. A rotational symmetric model estimates drop volume from real-time images. Estimation accuracy is analyzed and validated. A simple feedback controller is developed to regulate drop volume. Experimental results validate the effectiveness of the proposed approach.
滴量控制滴按需喷墨打印
滴按需(DoD)喷墨打印用于精确剂量沉积应用,其中一致的滴量是重要的。现有的喷墨打印液滴体积调节主要是开环方法,不能有效地补偿大批量打印应用中的不确定性。本文提出了一种基于实时图像反馈的液滴体积调节系统。旋转对称模型从实时图像中估计掉落体积。对估计精度进行了分析和验证。开发了一种简单的反馈控制器来调节液滴体积。实验结果验证了该方法的有效性。
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来源期刊
Mechatronic Systems and Control
Mechatronic Systems and Control AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.40
自引率
66.70%
发文量
27
期刊介绍: This international journal publishes both theoretical and application-oriented papers on various aspects of mechatronic systems, modelling, design, conventional and intelligent control, and intelligent systems. Application areas of mechatronics may include robotics, transportation, energy systems, manufacturing, sensors, actuators, and automation. Techniques of artificial intelligence may include soft computing (fuzzy logic, neural networks, genetic algorithms/evolutionary computing, probabilistic methods, etc.). Techniques may cover frequency and time domains, linear and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques of mechatronics that combine conventional and intelligent methods are also included. First published in 1972, this journal originated with an emphasis on conventional control systems and computer-based applications. Subsequently, with rapid advances in the field and in view of the widespread interest and application of soft computing in control systems, this latter aspect was integrated into the journal. Now the area of mechatronics is included as the main focus. A unique feature of the journal is its pioneering role in bridging the gap between conventional systems and intelligent systems, with an equal emphasis on theory and practical applications, including system modelling, design and instrumentation. It appears four times per year.
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