结合单色和宽带监控策略的光学监控预生产仿真

Silvia Schwyn Thoeny, D. Schachtler, S. Waldner, T. Frei, Manuel Baertschi
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引用次数: 0

摘要

工业上建立了各种类型的光学监控系统。它们的范围从单波长,单色到宽带监测,以计算监测信号,这允许在所需厚度的滤波器中终止每一层。最先进的监测系统在单个设备中提供单色和宽带监测的能力。有了这些技术,问题就来了,如何将这些监测策略结合到特定应用中,从而获得准确的涂层结果,同时对生产误差的敏感度最低,从而获得最高的产量。为了在不需要进行昂贵的涂层作业的情况下回答这个问题,我们开发了一个软件工具,它模仿了Evatec GSM光学监测系统的所有监测功能。此外,该软件还可以干扰模拟的理想监测信号,如探测器噪声,漂移,快门延迟时间偏差等。这些扰动的值是特定于沉积工具的。它们是根据实际涂层运行的宽带光谱确定的。通过启动具有定义扰动的虚拟涂层运行,可以评估选定策略的预期厚度偏差,并可以模拟运行期间厚度偏差的发展,即误差补偿和误差积累。在软件中,可以单独改变每一层的终止参数,并可以观察到对涂层结果的影响。为了证明该工具的能力,然后选择了特定的涂层设计。本设计测试了多种监测策略,包括不同波长范围的宽带监测策略、不同波长分配的单色监测策略以及宽带和单色监测混合策略。通过这些模拟得到最稳定的监测策略,以及一些不太有希望的候选策略,并对它们的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pre-production simulation of optical monitoring combining monochromatic and broadband monitoring strategies
Various types of optical monitoring systems are established in industry. They range from single wavelength, over monochromatic to broadband monitoring to calculate a monitoring signal, which allows to terminate each layer in a filter at the required thickness. State of the art monitoring systems offer the capability of monochromatic and broadband monitoring in a single device. With these technologies available, the question arises how to combine these monitoring strategies for a specific application in a way, which leads to accurate coating results with the least sensitivity to production errors and thus to the highest yield. To answer this question without the need to perform costly coating runs, we developed a software tool, which mimics all the monitoring features of Evatec’s GSM optical monitoring system. Additionally, the software is able to disturb the simulated ideal monitoring signal with errors such as detector noise, drifts, deviations in shutter delay times, etc. The values of these disturbances are specific to the deposition tool. They were determined based on the broadband spectra of actual coating runs. By starting a virtual coating run with defined disturbances, the thickness deviations expected with a selected strategy can be assessed and the development of thickness deviations during the run, i.e. error compensation and error accumulation can be simulated. Within the software, parameters for the termination of each layer can be varied individually and the effect on the coating result can be observed. In order to demonstrate the capability of this tool, a specific coating design was then selected. For this design various monitoring strategies were tested, broadband strategies with different wavelength ranges, monochromatic strategies varying wavelength assignment per layer but also mixed strategies of broadband and monochromatic monitoring. The most stable monitoring strategy resulting from these simulations was coated as well as some of the less promising candidates and their results were compared.
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