Application of modern quality improvement techniques to rapid thermal processing

Joseph C. Davis; Ronald S. Gyurcsik; Jeng-Chang Lu; Richard H. Perkins

doi:10.1117/12.56661

1 February 1992 Application of modern quality improvement techniques to rapid thermal processing

Joseph C. Davis, Ronald S. Gyurcsik, Jeng-Chang Lu, Richard H. Perkins

Proceedings Volume 1595, Rapid Thermal and Integrated Processing; (1992) https://doi.org/10.1117/12.56661
Event: Microelectronic Processing Integration, 1991, San Jose, CA, United States

Abstract

Modem statistical modeling techniques are applied to the characterization and optimization of Rapid Thermal Chemical Vapor Deposition. The problems of deposition during process ramps and thickness uniformity modeling wafer are addressed. A two-phase fractional factorial experimental design is used to generate models for the deposition rate, uniformity measures, and normalized time responses. A constrained algebraic optimization algorithm is used to find the optimum settings for the reactor for the deposition of 2000A of polysilicon. The methods that are developed to handle these problems are shown in an application to the deposition of polysilicon in a LeiskTM reactor.

Citation Download Citation

Joseph C. Davis, Ronald S. Gyurcsik, Jeng-Chang Lu, and Richard H. Perkins "Application of modern quality improvement techniques to rapid thermal processing", Proc. SPIE 1595, Rapid Thermal and Integrated Processing, (1 February 1992); https://doi.org/10.1117/12.56661

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available