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Self-Controlled Cleaving Method for Silicon DRIE Process Cross-Section Characterization.
- Source :
- Micromachines; May2021, Vol. 12 Issue 5, p534, 1p
- Publication Year :
- 2021
-
Abstract
- Advanced microsystems widely used in integrated optoelectronic devices, energy harvesting components, and microfluidic lab-on-chips require high-aspect silicon microstructures with a precisely controlled profile. Such microstructures can be fabricated using the Bosch process, which is a key process for the mass production of micro-electro-mechanical systems (MEMS) devices. One can measure the etching profile at a cross-section to characterize the Bosch process quality by cleaving the substrate into two pieces. However, the cleaving process of several neighboring deeply etched microstructures is a very challenging and uncontrollable task. The cleaving method affects both the cleaving efficiency and the metrology quality of the resulting etched microstructures. The standard cleaving technique using a diamond scriber does not solve this issue. Herein, we suggest a highly controllable cross-section cleaving method, which minimizes the effect on the resulting deep etching profile. We experimentally compare two cleaving methods based on various auxiliary microstructures: (1) etched transverse auxiliary lines of various widths (from 5 to 100 μm) and positions; and (2) etched dashed auxiliary lines. The interplay between the auxiliary lines and the etching process is analyzed for dense periodic and isolated trenches sized from 2 to 50 μm with an aspect ratio of more than 10. We experimentally showed that an incorrect choice of auxiliary line parameters leads to silicon "build-up" defects at target microstructures intersections, which significantly affects the cross-section profile metrology. Finally, we suggest a highly controllable defect-free cross-section cleaving method utilizing dashed auxiliary lines with the stress concentrators. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 2072666X
- Volume :
- 12
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Micromachines
- Publication Type :
- Academic Journal
- Accession number :
- 150502091
- Full Text :
- https://doi.org/10.3390/mi12050534