Predicting Fracture in Micrometer-Scale Polycrystalline Silicon MEMS Structures

被引:30
|
作者
Reedy, E. David, Jr. [1 ]
Boyce, Brad L. [1 ]
Foulk, James W., III [1 ]
Field, Richard V., Jr. [1 ]
de Boer, Maarten P. [2 ]
Hazra, Siddharth S. [2 ]
机构
[1] Sandia Natl Labs, Albuquerque, NM 87185 USA
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
关键词
Fracture; materials testing; microelectromechanical systems; silicon; statistics; TENSILE-STRENGTH; POLYSILICON; TOUGHNESS;
D O I
10.1109/JMEMS.2011.2153824
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Designing reliable MEMS structures presents numerous challenges. Polycrystalline silicon fractures in a brittle manner with considerable variability in measured strength. Furthermore, it is not clear how to use measured tensile strength data to predict the strength of a complex MEMS structure. To address such issues, two recently developed high-throughput MEMS tensile test techniques have been used to estimate strength distribution tails by testing approximately 1500 tensile bars. There is strong evidence that the micromachined polycrystalline silicon that was tested in this paper has a lower bound to its tensile strength (i.e., a strength threshold). Process-induced sidewall flaws appear to be the main source of the variability in tensile strength. Variations in as-fabricated dimensions, stress inhomogeneity within a polycrystal, and variations in the apparent fracture toughness do not appear to be dominant contributors to tensile strength variability. The existence of a strength threshold implies that there is maximum flaw size, which consequently enables a linear elastic fracture mechanics flaw-tolerance analysis. This approach was used to estimate a lower bound for the strength of a double edge-notched specimen that compared favorably with our measured values.
引用
收藏
页码:922 / 932
页数:11
相关论文
共 50 条
  • [31] Experimental Demonstration of Optimal Curved Beams in Micrometer-Scale
    Aborahama, Yousuf
    Dorrah, Ahmed H.
    Mojahedi, Mo
    2020 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2020,
  • [32] The penetration of acoustic cavitation bubbles into micrometer-scale cavities
    Vaidya, Haresh Anant
    Ertunc, Oezguer
    Lichtenegger, Thomas
    Delgado, Antonio
    Skupin, Andreas
    ULTRASONICS, 2016, 67 : 190 - 198
  • [33] Micrometer-scale machining: tool fabrication and initial results
    Vasile, M.J.
    Friedrich, C.R.
    Kikkeri, B.
    McElhannon, R.
    Precision Engineering, 1996, 19 (2-3): : 180 - 186
  • [34] Microdrilling for fabricating micrometer-scale holes in soft matter
    C.-M. Cheng
    P.R. LeDuc
    Applied Physics A, 2006, 85 : 195 - 198
  • [35] Thermoelectron-enhanced micrometer-scale plasma generation
    Ito, T
    Terashima, K
    APPLIED PHYSICS LETTERS, 2002, 80 (15) : 2648 - 2650
  • [36] Micrometer-scale machining: Tool fabrication and initial results
    Vasile, MJ
    Friedrich, CR
    Kikkeri, B
    McElhannon, R
    PRECISION ENGINEERING-JOURNAL OF THE AMERICAN SOCIETY FOR PRECISION ENGINEERING, 1996, 19 (2-3): : 180 - 186
  • [37] Microdrilling for fabricating micrometer-scale holes in soft matter
    Cheng, C. -M.
    Leduc, P. R.
    APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2006, 85 (02): : 195 - 198
  • [38] Capacitive Sensor for Micrometer-Scale Proximity Detection With Microwaves
    Karami-Horestani, Amirhossein
    Paredes, Ferran
    Saura, Karl Adolphs
    Ebrahimi, Amir
    Martin, Ferran
    IEEE SENSORS JOURNAL, 2025, 25 (05) : 8246 - 8258
  • [39] Mapping micrometer-scale wetting properties of superhydrophobic surfaces
    Daniel, Dan
    Lay, Chee Leng
    Sng, Anqi
    Lee, Coryl Jing Jun
    Neo, Darren Chi Jin
    Ling, Xing Yi
    Tomczak, Nikodem
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (50) : 25008 - 25012
  • [40] Wet Etching of Aluminum Periodic Patterns in Micrometer-Scale
    Du, Jiaqiang
    Liu, Huan
    Liu, Weiguo
    NANOTECHNOLOGY AND PRECISION ENGINEERING, PTS 1 AND 2, 2013, 662 : 117 - 121