制造环境中单个晶圆蚀刻机的自动化和统计过程控制

J. Durham, V.J. Marcos, T. Vincent, J. Martinez, S. Shelton, G. Fortner, M. Clayton, S. Felker
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引用次数: 8

摘要

蚀刻加工设备变得越来越复杂,随着设备几何尺寸的缩小,精确的蚀刻控制变得更加重要。为了应对这一挑战,内部微处理器目前用于控制晶圆处理、批量和晶圆物流、加工和过程控制以及维护功能。最近,已经开发了外部系统来提供额外的监测和控制功能。本文论述了可用于多晶硅、氧化物或金属蚀刻的单片蚀刻平台的自动化。除了主加工室外,真空负载锁可配置用于预蚀刻或后蚀刻工艺。系统微处理器和现有的SECS II软件包使该工具成为外部自动化和统计过程控制(ASPC)的良好候选者。本文将讨论摩托罗拉MOS6晶圆厂目前使用的两种自动化封装。第一个自动化包是一系列与蚀刻机接口的诊断和计划维护(PM)工具。自动化工具在晶圆加工过程中执行实时统计过程控制。用于ASPC的第二个工具是Cell Controller。Cell Controller是一个本地食谱管理系统,用于将食谱和食谱信息下载到蚀刻器。介绍了软件工具及其在制造中的实现。讨论了用于问题识别、故障排除和项目状态的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automation and statistical process control of a single wafer etcher in a manufacturing environment
Etch processing equipment has become increasingly complicated and precise etch control has become more critical as device geometry shrinks. To meet this challenge, internal microprocessors are currently used to control wafer handling, lot and wafer logistics, processing and process control, and maintenance functions. Recently, external systems have been developed to provide additional monitoring and control capabilities. This paper addresses the automation of a single wafer etch platform that can be used for polysilicon, oxide, or metal etching. In addition to the main processing chamber, the vacuum load locks can be configured for pre-etch or post-etch processes. The system microprocessor and existing SECS II software package make the tool a good candidate for external automation and statistical process control (ASPC). This paper will discuss two automation packages currently in use at Motorola's MOS6 wafer fab. The first automation package is a family of diagnostic and planned maintenance (PM) tools that interface with the etcher. The automation tools perform real time statistical process control on the wafers as they are processed. The second tool used for ASPC is the Cell Controller. The Cell Controller is a local recipe management system used to download recipes and recipe information to the etcher. A description of the software tools and the implementation in manufacturing will be presented. Techniques used for problem identification, troubleshooting and the status of the project are discussed.
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