Sitions showing an general stable behaviour. Compared with the influence of temperature, detergents look to

Sitions showing an general stable behaviour. Compared with the influence of temperature, detergents look to have a minor influence on slurry viscosity. Certainly, the surfactants do notPolymers 2021, 13,What is also evident initially glance would be the fact that the addition of carbon black massively influences slurry viscosity. The vital shear prices for the shift amongst shear-thinning and shear-thickening behaviour are thereby shifted from eight s-1 to 30 s-1, according to 8 of 12 temperature. This shift in viscosity also happens for extra complicated slurry compositions displaying an overall stable behaviour. Compared together with the influence of temperature, detergents look to have a minor influence on slurry viscosity. Of course, the surfactants do drastically affect slurry viscosity and and show related final results, each size of magnitude not substantially have an effect on slurry viscosity show equivalent results, both in thein the size of magand pseudoplastic feature. nitude and pseudoplastic feature.Figure 8. Shear rate vs. viscosity for slurries at diverse temperatures: 20 (green), 30 (orange), 40 (red). Around the Figure eight. Shear price vs. viscosity for slurries at different temperatures: 20 C (green), 30 C (orange), 40 C (red). On the left are the slurries D-Sedoheptulose 7-phosphate Metabolic Enzyme/Protease without the need of LTO, around the appropriate the slurries with LTO. left will be the slurries with no LTO, around the ideal the slurries with LTO.For frequency sweep measurements, depicted in in thethe storage modulusdominates frequency sweep measurements, depicted 9, 9, storage modulus G G dominatesthe loss modulus G , which can be a typicalabehaviour for gel-type systems [24], indicating over more than the loss modulus G, which is typical behaviour for gel-type systems [24], indicating a three-dimensional network slurry mixture. Each G and G reveal the Petroselinic acid web highest a three-dimensional network inside the within the slurry mixture. Each G and G reveal the highest values for after preparation getting the complete LTO-SA slurry LTO-SA dispervalues for SA3 30 min SA3 30 min right after preparation getting the total devoid of slurry sant. Slurries containing FC4430 as dispersant as dispersant show the lowest values, each without the need of dispersant. Slurries containing FC4430 show the lowest values, each directly immediately after preparation preparation and 30 min later. G showed rather low slopes up frequency of straight afterand 30 min later. G showed rather low slopes up to an angularto an angular about one hundred of , followed -1, a strongly increasing slope for the samples the samples mixing. frequency s-1about one hundred sby followed by a strongly rising slope for straight afterdirectly This mixing. This indicates a formation of plateau, reflecting a sturdy physical network in following indicates a formation of G secondary G secondary plateau, reflecting a robust physthe network within the system, such as the LTO particles with SA. This so-called `rubber-like ical technique, which include the interaction of theinteraction from the LTO particles with SA. This sobehaviour’ indicates to which acting force the physical force the physical network/gel known as `rubber-like behaviour’ indicates to which acting network/gel structure is stable. Defining is steady. Defining a yield point and G curves of G and G curves results in the structure a yield point because the crossing of G because the crossing results in the assumption that only SAD1 and SAD2 personal a yield point at personal a yield point at of about 40000 s-1 assumption that only SAD1 and SAD2an angular frequencyan angular frequency .of about In s-1. 40000contrast for the ma.