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Statistical Manufacturing Model of Printing Technology

机译:印刷技术统计制造模型

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摘要

There has been an evident increase in the demand for accurate and complex patterns for particles used in microsized electronic devices. Direct printing technology has been promoted as a solution for these needs, as the development of this technology provides both economical and environmental benefits, as well as being a time and energy saving process. Research in the field of printing technologies is still in the initial stages, involving the study of physical and chemical properties of printing materials. There are several methods currently using direct printing methods: microdispensing deposition write (MDDW), maskless mesoscale materials deposition (M3D), and inkjet printing. This study explores the direct printing methods of sequential and randomized printing associated with MDDW, M3D, and inkjet printing using computer simulations compared with actual experimentations. Sequential printing involves depositing particles onto the substrate in a specific order based on particle size. This method is associated with MDDW, where a relatively high viscous ink is dispensed onto the substrate so that particle sizes maintain an order in relation to one another, effectively producing a higher packing factor. Randomized printing involves the dispensing of various sizes of particles onto the substrate in a random order, as in inkjet printing. With this process, the probability of obtaining an efficient packing factor is unlikely and decreases even more with particle size. Therefore, the monolayer method, involving the deposition of individual particles, was developed to increase the packing factor when using the inkjet process. The results presented in this study proved that monolayering methods coincide with the projections predicted by the computer simulation. Sequential packing (MDDW) provides a shorter and higher range of packing factors than that of random packing sequences (ink jet); thus showing sequential packing to be the more efficient method. Sequential packing is closely related to the printing of high viscosity ink because of the higher packing factor that this method provides. An ink with increased viscosity allows for better conductivity which is essential in the development of improved nanoprinting technologies. This study provides evidence for the most efficient means of increasing the packing factor of particles; these methods offer the opportunity for technological advancement and commercialization of nanoprinting materials.
机译:对用于微型电子设备中的颗粒的精确且复杂的图案的需求明显增加。直接打印技术已被推广为满足这些需求的解决方案,因为该技术的发展既带来了经济和环境效益,又节省了时间和能源。印刷技术领域的研究仍处于初期阶段,涉及对印刷材料的物理和化学性质的研究。当前有几种使用直接打印方法的方法:微点胶沉积写(MDDW),无掩模中尺度材料沉积(M3D)和喷墨打印。本研究使用计算机模拟与实际实验相比较,探索了与MDDW,M3D和喷墨打印相关的顺序打印和随机打印的直接打印方法。顺序印刷涉及基于颗粒尺寸以特定顺序将颗粒沉积到基材上。该方法与MDDW有关,在MDDW中,将相对较高粘度的墨水分配到基材上,从而使粒径保持彼此相对有序,从而有效地产生较高的填充系数。与喷墨印刷一样,随机印刷涉及以随机顺序将各种尺寸的颗粒分配到基材上。通过这种方法,获得有效堆积因子的可能性是不可能的,并且随着粒径的增加甚至会进一步降低。因此,开发了涉及单个颗粒沉积的单层方法,以在使用喷墨工艺时增加堆积因子。这项研究提出的结果证明,单层方法与计算机模拟预测的预测相吻合。顺序装箱(MDDW)提供的装箱系数范围比随机装箱顺序(喷墨)的装箱系数范围更短和更高;因此显示顺序打包是更有效的方法。顺序包装与高粘度油墨的印刷紧密相关,因为这种方法提供了更高的包装系数。具有增加的粘度的油墨允许更好的导电性,这在改进的纳米印刷技术的发展中是必不可少的。这项研究为增加颗粒堆积因子的最有效方法提供了证据。这些方法为纳米印刷材料的技术进步和商业化提供了机会。

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  • 来源
    《Journal of Electronic Packaging》 |2013年第1期|011004.1-011004.5|共5页
  • 作者单位

    Department of Metallurgical and Materials Engineering, The University of Texas at EI Paso, EI Paso, TX 79968-0520;

    Department of Metallurgical and Materials Engineering, The University of Texas at EI Paso, EI Paso, TX 79968-0520;

    KEN Research Center, Seokyeong University, Seoul 136-704, Republic of Korea;

    KEN Research Center, Seokyeong University, Seoul 136-704, Republic of Korea Department of Nano Convergence Engineering, Seokyeong University, Seoul 136-704, Republic of Korea;

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