Optimization Method for the Synergistic Control of DRIE Process Parameters on Sidewall Steepness and Aspect Ratio
Deep Reactive Ion Etching (DRIE), as a key process in silicon micromachining, remains constrained in high-precision applications by sidewall angle deviation and aspect ratio limitations. This study systematically investigates the mapping relationship between process parameters and etching morphology, focusing on the following aspects: the influence mechanism of C<sub>4</sub>F<sub>8</sub> passivation time and bottom RF power on sidewall perpendicularity; and the effect patterns of etch cycle count, single-step time, and bottom RF power on aspect ratio and top-bottom line width (CD) difference. The findings reveal that dynamic adjustment of bottom RF power significantly influences sidewall angle: incremental adjustment tends to cause sharp angles (decreased angular precision), while decremental adjustment tends to form obtuse angles. Simply increasing the cycle count leads to a bottleneck in etch depth growth. Combining incremental bottom RF power adjustment can overcome depth limitations but induces axial variation in aperture dimensions. Optimizing the passivation-to-etch time ratio effectively controls etch morphology characteristics. This study achieved an etch depth of 112.2 μm for a 5 μm wide trench with an overall aperture size difference of 0.279 μm, providing a theoretical basis and practical guidance for parameter optimization in DRIE processes for high-precision silicon structure fabrication.
Authors
- Renzhi Yuan (ORCID: https://orcid.org/0000-0002-9554-9279)
- Ting Liang
- Cheng Lei (ORCID: https://orcid.org/0000-0001-8439-4235)
- Zhiqiang Li (ORCID: https://orcid.org/0000-0003-3434-6627)
- Jiaqi Li (ORCID: https://orcid.org/0000-0002-8281-7924)
- Dandan Wang (ORCID: https://orcid.org/0000-0003-0909-7059)
- Zong Yao
- Jiangang Yu
- Pengfei Ji
Institutions
- North University of China (CN)
- Beijing Microelectronics Technology Institute (CN)
- NAURA (China) (CN)
Publication Details
- Journal
- Micromachines
- Published
- 2025-12-23
- DOI
- https://doi.org/10.3390/mi17010013
- Primary Topic
- Plasma Diagnostics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00