2015
DOI: 10.1080/02726351.2015.1131789
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A new model for the viscosity of highly concentrated multi-sized particulate Bingham slurries

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Cited by 11 publications
(4 citation statements)
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“…The lower values of pressure drop for bi-modal slurry is observed as compared with the mono disperse silica particle. Assefa and Kaushal [27] proposed a novel empirical model to investigate the viscosity profile for multi size particulates Bingham slurry at higher values of concentration (>50%, by weight). The proposed model utilizes non-linear least square curve fitting and optimization method for solid volume fractions, particle size and uniformity coefficient as input parameters.…”
Section: Introductionmentioning
confidence: 99%
“…The lower values of pressure drop for bi-modal slurry is observed as compared with the mono disperse silica particle. Assefa and Kaushal [27] proposed a novel empirical model to investigate the viscosity profile for multi size particulates Bingham slurry at higher values of concentration (>50%, by weight). The proposed model utilizes non-linear least square curve fitting and optimization method for solid volume fractions, particle size and uniformity coefficient as input parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Melorie et al [28] found the addition of hydrated lime increases the rheological behavior and high yield stress for all volumetric concentration of slurry. Assefa et al [29] proposed new empirical viscosity model for the highly concentrated Bingham slurry ranging from 50 -70% by weight and found the proposed viscosity model in agreement with the experimental study for determining the viscosity of multi sized particulates Bingham slurry flowing at higher concentration. Singh et al [30] added an additive sodium bicarbonate in highly concentrated fly ash slurry, which modified the rheological characteristics of the fly ash slurry.…”
Section: Introductionmentioning
confidence: 65%
“…Mohanty et al [26][27] carried out the numerical simulation of counter flow heat exchanger and predicted the flow characteristics. Some of the recent work on slurry pipeline for obtaining the slurry flow characteristics is done by Parkash et al [28][29][30][31][32][33]. Arora et al [34][35] optimized the irreversible engine using ecological criteria.…”
Section: Introductionmentioning
confidence: 99%