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BOTTS: broadband optimized time-temperature superposition for vastly accelerated viscoelastic data acquisition.

Publication ,  Journal Article
Sheridan, RJ; Zauscher, S; Brinson, LC
Published in: Soft matter
September 2024

Modern materials design strategies take advantage of the increasing amount of materials property data available and increasingly complex algorithms to take advantage of those data. However, viscoelastic materials resist this trend towards increased data rates due to their inherent time-dependent properties. Therefore, viscoelasticity measurements present a roadblock for data collection in an important aspect of material design. For thermorheologically simple (TRS) materials, time-temperature superposition (TTS) made relaxation spectrum measurements faster relative to, for example, very long creep experiments. However, TTS itself currently faces a speed limit originating in the common logarithmic discrete frequency sweep (DFS) mode of operation. In DFS, the measurement time is proportional (by a factor much greater than one) to the lowest frequency of measurement. This state of affairs has not improved for TTS for half a century or more. We utilize recent work in experimental rheometry on windowed chirps to collect three decades of complex modulus data simultaneously, resulting in a ∼500% increase in data collection. In BOTTS, we superpose several isothermal chirp responses to produce a master curve in a fraction of time required by the traditional DFS-TTS technique. The chirp responses have good, albeit nontrivial, signal-to-noise properties. We use linear error propagation and a noise-weighted least squares approach to automatically incorporate all the data into a reliable shifting method. Using model thermoset polymers, we show that DFS-TTS and BOTTS results are comparable, and therefore BOTTS data represent a first step towards a faster method for master curve generation from unmodified rheological measurement instruments.

Duke Scholars

Published In

Soft matter

DOI

EISSN

1744-6848

ISSN

1744-683X

Publication Date

September 2024

Related Subject Headings

  • Chemical Physics
  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences
  • 09 Engineering
  • 03 Chemical Sciences
  • 02 Physical Sciences
 

Citation

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Sheridan, R. J., Zauscher, S., & Brinson, L. C. (2024). BOTTS: broadband optimized time-temperature superposition for vastly accelerated viscoelastic data acquisition. Soft Matter. https://doi.org/10.1039/d4sm00798k
Sheridan, Richard J., Stefan Zauscher, and L Catherine Brinson. “BOTTS: broadband optimized time-temperature superposition for vastly accelerated viscoelastic data acquisition.Soft Matter, September 2024. https://doi.org/10.1039/d4sm00798k.
Sheridan, Richard J., et al. “BOTTS: broadband optimized time-temperature superposition for vastly accelerated viscoelastic data acquisition.Soft Matter, Sept. 2024. Epmc, doi:10.1039/d4sm00798k.
Journal cover image

Published In

Soft matter

DOI

EISSN

1744-6848

ISSN

1744-683X

Publication Date

September 2024

Related Subject Headings

  • Chemical Physics
  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences
  • 09 Engineering
  • 03 Chemical Sciences
  • 02 Physical Sciences