Detail View

Direct monitoring of generated particles in plasma enhanced chemical vapor deposition process using temperature compensating quartz crystal microbalance
Citations

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

Title
Direct monitoring of generated particles in plasma enhanced chemical vapor deposition process using temperature compensating quartz crystal microbalance
Issued Date
2025-03
Citation
Jang, Il Ryu. (2025-03). Direct monitoring of generated particles in plasma enhanced chemical vapor deposition process using temperature compensating quartz crystal microbalance. Sensors and Actuators A: Physical, 383. doi: 10.1016/j.sna.2024.116181
Type
Article
Author Keywords
In-situ monitoringPlasma enhanced chemical vapor deposition(PECVD)Particle contaminationQuartz crystal microbalance (QCM)
Keywords
CONTAMINATIONLIMITATIONSANALYZERBEHAVIORPM
ISSN
0924-4247
Abstract
The growing demand for high-density integrated circuits (ICs) necessitates robust contaminant particle monitoring systems to optimize yield management. This research introduces a quartz crystal microbalance (QCM) based monitoring system for particle generation during the plasma-enhanced chemical vapor deposition (PECVD) process. The sensor can be integrated at the foreline, thereby eliminating the need for additional sampling apparatuses. To extend the operational lifetime of the QCM, a novel bypass piping system with an orifice plate has been developed, improving its longevity by a remarkable 1800 times compared to conventional single-pipe configurations. In addition, the proposed sensor incorporates an integrated platinum-based resistance temperature detector (RTD) that corrects sensing inaccuracies arising from temperature variations during processing. This temperature compensation strategy ensures accurate and reliable particle measurements, particularly under high-temperature conditions. The efficacy of the proposed system has been experimentally validated during the PECVD of SiO2, showcasing its significant promise for improving ICs yield management. © 2025 Elsevier B.V.
URI
http://hdl.handle.net/20.500.11750/57869
DOI
10.1016/j.sna.2024.116181
Publisher
Elsevier
Show Full Item Record

File Downloads

  • There are no files associated with this item.

공유

qrcode
공유하기

Related Researcher

김회준
Kim, Hoe Joon김회준

Department of Robotics and Mechatronics Engineering

read more

Total Views & Downloads