Multi-objective optimization of intense pulsed light sintering process for aerosol jet printed thin film

G. L. Goh, Haining Zhang, G. D. Goh, W. Yeong, T. H. Chong
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引用次数: 3

Abstract

The sintering of printed nanoparticle films is a necessary processing step for most nanoparticle inks to make the printed film functional. The sintering of nanoparticle is usually performed through thermal sintering, photonic sintering, induction sintering, etc. Intense pulsed light (IPL) sintering method is one of the most popular sintering methods for nanoparticle inks due to the fast and effective process, but it may yield mediocre performance if improper sintering parameters are used. In this work, we investigate the correlation between the two factors which are the print passes of aerosol jet printing and the sintering distance of the samples on the effect of the surface morphology and sheet resistance. A contradictory correlation between the two factors was observed and a multi-objective optimization was carried out using machine learning method to identify the most optimum conditions for both factors. We found that multi-objective optimization approach is effective in reducing the conflicting responses, thus the sintered thin film can have low sheet resistance and low surface roughness. This work provides an essential guide for achieving conductive films with electrical conductivity and low surface roughness using IPL sintering process for fast fabrication of multi-layered electronics such as electrochemical electrodes.
强脉冲光烧结气溶胶喷射打印薄膜工艺的多目标优化
打印纳米颗粒薄膜的烧结是大多数纳米颗粒油墨实现打印薄膜功能的必要工艺步骤。纳米颗粒的烧结通常通过热烧结、光子烧结、感应烧结等方式进行。强脉冲光(IPL)烧结工艺快速有效,是纳米颗粒油墨最常用的烧结方法之一,但如果烧结参数选择不当,烧结效果一般。在本工作中,我们研究了气溶胶喷射打印的打印通道和样品的烧结距离两个因素对表面形貌和片材电阻的影响。观察到这两个因素之间的矛盾相关性,并利用机器学习方法进行多目标优化,以确定这两个因素的最优条件。研究发现,多目标优化方法可以有效地减少相互冲突的响应,从而使烧结薄膜具有低片阻和低表面粗糙度。这项工作为利用IPL烧结工艺实现具有导电性和低表面粗糙度的导电膜,用于快速制造多层电子器件(如电化学电极)提供了重要的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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