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Seasoning Optimization by Using Optical Emission Spectroscopy

机译:使用光学发射光谱分析优化

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From a point of view for AEC (Advanced/Autonomous Equipment Control) and APC (Advanced/Autonomous Process Control), it is necessary to catch up the condition from semiconductor manufacturing equipment in more detail and to monitor it more closely. After wet cleaning, it is difficult to determine the optimal number of seasoning wafers for the etch equipment. As a solution for this problem, the “Seasoning Index” that shows the progress of seasonings in the chamber is developed by using OES (Optical Emission Spectroscopy). Then, the Seasoning Optimizer function was implemented to make sure that the seasonings are performed appropriately. Furthermore, the principle of the seasoning process was also investigated. As a result, it was shown that the Seasoning Index, which shows similar behavior with the by-product of the reaction, is also effective as an index showing the seasoning state in the chamber. This case shows one of the application examples of AEC/APC.
机译:从AEC(先进/自主设备控制)和APC(先进/自主过程控制)的角度来看,有必要更详细地赶上半导体制造设备的条件,并更加密切地监控它。湿式清洁后,难以确定蚀刻设备的最佳调味晶片数量。作为该问题的解决方案,通过使用OES(光发射光谱)开发了显示腔室中调味料进展的“调味率指数”。然后,实施了调味优化功能以确保调味料适当执行。此外,还研究了调味过程的原理。结果,显示出显示与反应副产物类似的调味指数,其也是有效的,作为显示腔室中的调味态的指标也是有效的。本例示出了AEC / APC的应用示例之一。

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