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Evaluation of Surface Cleaning Procedures for CTGS Substrates for SAW Technology with XPS

机译:使用XPS评估SAW技术的CTGS基板的表面清洁程序

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摘要

A highly efficient and reproducible cleaning procedure of piezoelectric substrates is essential in surface acoustic waves (SAW) technology to fabricate high-quality SAW devices, especially for new applications such SAW sensors wherein new materials for piezoelectric substrates and interdigital transducers are used. Therefore, the development and critical evaluation of cleaning procedures for each material system that is under consideration becomes crucial. Contaminants like particles or the presence of organic/inorganic material on the substrate can dramatically influence and alter the properties of the thin film substrate composite, such as wettability, film adhesion, film texture, and so on. In this article, focus is given to different cleaning processes like SC-1 and SC-2, UV-ozone treatment, as well as cleaning by first-contact polymer Opticlean, which are applied for removal of contaminants from the piezoelectric substrate Ca3TaGa3Si2O14. By means of X-ray photoelectron spectroscopy, the presence of the most critical contaminants such as carbon, sodium, and iron removed through different cleaning procedures were studied and significant differences were observed between the outcomes of these procedures. Based on these results, a two-step cleaning process, combining SC-1 at a reduced temperature at 30 C instead of 80 C and a subsequent UV-ozone cleaning directly prior to deposition of the metallization, is suggested to achieve the lowest residual contamination level.
机译:在表面声波(SAW)技术中,制造高质量的SAW器件特别是对于SAW传感器这样的新应用(其中使用了压电衬底和指形换能器的新材料),压电衬底的高效且可重复的清洁过程至关重要。因此,对于正在考虑的每种材料系统,开发并严格评估清洁程序变得至关重要。诸如颗粒之类的污染物或基材上有机/无机材料的存在会极大地影响并改变薄膜基材复合材料的性能,例如润湿性,薄膜附着力,薄膜质地等。在本文中,重点介绍了不同的清洁工艺,例如SC-1和SC-2,紫外线臭氧处理以及通过第一接触聚合物Opticlean进行的清洁,这些清洁工艺用于去除压电基板Ca3TaGa3Si2O14中的污染物。借助X射线光电子能谱,研究了通过不同清洁程序去除的最关键污染物(例如碳,钠和铁)的存在,并且观察到这些程序的结果之间存在显着差异。基于这些结果,进行了两步清洗过程,将SC-1在降低的温度下于30 C而不是80 C进行了组合,随后进行了紫外线臭氧清洗建议直接在金属化层沉积之前实现最低的残留污染水平。

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