4.7 Article

The viscoelastic characterisation of thermally-treated waste activated sludge

Journal

CHEMICAL ENGINEERING JOURNAL
Volume 304, Issue -, Pages 362-368

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2016.06.082

Keywords

Viscoelastic measurement; sCOD; Waste activated sludge; Thermal treatment

Funding

  1. RMIT University
  2. South-East Water and Melbourne Water

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Compositional change in sewage sludge due to thermal treatment drives rheological changes in the sludge. In this study, the viscoelastic characteristics of waste activated sludge (WAS) was investigated by measuring viscoelastic properties of sludge, the storage (G') and loss (G '') moduli over 1 h thermal treatment at different temperatures ranging from 20 to 80 degrees C as well as after treatment when sludge cooled down to 20 degrees C (thermal history effect). The soluble chemical oxygen demands (COD) was also measured at the same thermal treatment conditions. The results showed a distinctive difference between thermally-treated sludge and raw sludge in transitions from solid-like to liquid-like behaviour. It was observed that thermally induced compositional change in sludge impacted on both viscoelastic properties (G' and G '') and viscous properties of sludge. Modified Cox-Merz rule (or Rutgers-Delaware) was successfully used to determine the sludge flow curve from the linear viscoelastic measurements of sludge. It was also found that the effect of short-time thermal treatment at high temperature on viscoelastic properties of sludge is similar to the effect of long-time thermal treatment at low temperature. This indicates that the amount of supplied thermal energy was the key controlling parameter of the evolution of Theological properties and the degree of organic matter solubilisation. A linear proportionality was also established between a dimensionless form of the released soluble COD and a dimensionless form of both G' and G ''. This suggests a possibility of controlling thermal treatment processes via rheological measurements. (C) 2016 Elsevier B.V. All rights reserved.

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