TY - JOUR
T1 - Predicting the failure of ultrathin porous membranes in bulge tests
AU - Gillmer, Steven R.
AU - Fang, David Z.
AU - Wayson, Sarah E.
AU - Winans, Joshua D.
AU - Abdolrahim, Niaz
AU - DesOrmeaux, Jon Paul S.
AU - Getpreecharsawas, Jirachai
AU - Ellis, Jonathan D.
AU - Fauchet, Philippe M.
AU - McGrath, James L.
N1 - Funding Information:
The authors gratefully acknowledge the valuable discussions with Dr. John Lambropoulos and Dr. Michael Skarlinski (Materials Science Program, University of Rochester) as well as with Dr. Karan Mehrotra (Corning Incorporated) during the development of this research. This work was funded by the National Science Foundation under award CBET:1159579. Steven Gillmer is currently an MIT Lincoln Laboratory employee. No laboratory funding or resources were used to produce the result/findings reported in this publication. Opinions, interpretations, conclusions, and recommendations are those of the authors, and do not necessarily represent the view of the United States Government.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - Silicon nanomembranes are thin nanoporous films that are frequently used as separation tools for nanoparticles and biological materials. In such applications, increased differential pressure across the nanomembranes directly increases process throughput. Therefore, a predictive tool governing the macroscale failure of the porous thin films is fundamentally important in application areas where high differential pressures are desired. Although the deflections and stresses of the nanomembranes can be reliably predicted, a straightforward and prognostic failure model has yet to be outlined. In this publication, a brittle macroscale failure model is established and validated with experimental results. Theoretical agreement with experiments within 10% accuracy offers reliable failure predictions for square membrane dimensions from 60 μm to 1.5 mm through over 100 trials. The methodology relies on an effective fracture toughness from previously published work that is incorporated through Griffith's law. These developments will be useful in the selection of nanomembranes for particular applications and will help guide the design of materials with improved strength. The model should also prove useful for high-volume, in-line processing and inspection of nanomembranes as their role becomes more prominent in industry.
AB - Silicon nanomembranes are thin nanoporous films that are frequently used as separation tools for nanoparticles and biological materials. In such applications, increased differential pressure across the nanomembranes directly increases process throughput. Therefore, a predictive tool governing the macroscale failure of the porous thin films is fundamentally important in application areas where high differential pressures are desired. Although the deflections and stresses of the nanomembranes can be reliably predicted, a straightforward and prognostic failure model has yet to be outlined. In this publication, a brittle macroscale failure model is established and validated with experimental results. Theoretical agreement with experiments within 10% accuracy offers reliable failure predictions for square membrane dimensions from 60 μm to 1.5 mm through over 100 trials. The methodology relies on an effective fracture toughness from previously published work that is incorporated through Griffith's law. These developments will be useful in the selection of nanomembranes for particular applications and will help guide the design of materials with improved strength. The model should also prove useful for high-volume, in-line processing and inspection of nanomembranes as their role becomes more prominent in industry.
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U2 - 10.1016/j.tsf.2017.04.004
DO - 10.1016/j.tsf.2017.04.004
M3 - Article
AN - SCOPUS:85018521465
SN - 0040-6090
VL - 631
SP - 152
EP - 160
JO - Thin Solid Films
JF - Thin Solid Films
ER -