Relevant bibliographies by topics / Rheological properties

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Rheological properties'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 October 2024

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Journal articles on the topic "Rheological properties"

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Myslyuk, M. A., Yu D. Voloshyn, and N. R. Zholob. "Assesment of rheological properties of drilling fluids based on rotational viscometry data." SOCAR Proceedings, SI2 (December 30, 2023): 41–53. http://dx.doi.org/10.5510/ogp2023si200879.

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The model of interpretation of rotational viscometry data is described using a strict solution of the Couette flow equation and considering the information resulting from the experiments. Using the example of common rheological models of drilling muds, the influence of the radii ratio and rheological properties on the accuracy of their estimation was studied using the dependence of the Newtonian fluid shear rate gradient. Comparative results of the rheological properties assessment for drilling muds in industrial conditions are given. Keywords: bi-viscous fluid; Couette flow; maximum likelihood principle; rheologically stationary models.
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Barsukov, V. G., and T. S. Chikova. "Comparative analysis of rheological properties indicators for thermoplastic melts." Vesnik of Yanka Kupala State University of Grodno. Series 6. Engineering Science 12, no. 1 (September 9, 2022): 65–73. http://dx.doi.org/10.52275/2223-5396-2022-12-1-65-73.

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The introduction analyzes the state of the issue and substantiates the research relevance. The aim of the work is to determine and comparatively analyze the values of physically normalized indicators of rheological properties of typical representatives of thermoplastic melts. In the methodological part of the work, to ensure the comparability of the results, the physically normalized form of the Ostwald-de-Waele power empirical rheological equation proposed by McKelvey is used. The calculation scheme is based on the transition from an approximating power function with rheologically non-deterministic parameters to two dimensionless rheologically determined complexes characterizing the stress-strain state of a nonlinear-viscous medium. The first dimensionless complex is presented in the form as the ratio of the actual shear rate to a unit normalization base value, and the second is in the form as the ratio of shear stresses acting on the deformable medium to the base (reduced) value of these stresses, which are necessary to overcome viscous resistance at a unit normalization shear rate. A technique is described for determining physically normalized indicators of rheological properties using the thermoplastic melts flow curves available in the scientific and technical literature (dependence of shear stresses on shear rate) based on the processing of these graphical dependencies plotted in double logarithmic coordinates. In the main part of the work, the values of physically normalized indicators of rheological parameters (the reduced index of viscous resistance and the indicator of the rheological nonlinearity of the melt) are determined and presented in the form of tables for widely used types of filled and unfilled thermoplastic polymers. A comparative analysis of these indicators has been carried out. Conclusions are given on the work and it is noted that the results of the research can be used in engineering practice, as well as in the educational process when performing rheological calculations of the processes of processing thermoplastic polymeric materials.
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Myslyuk, M. A. "Determination of the rheological properties of drilling fluids from rotational viscometry data." JOURNAL OF HYDROCARBON POWER ENGINEERING 7, no. 2 (December 30, 2020): 31–45. http://dx.doi.org/10.31471/2311-1399-2020-2(14)-31-45.

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The method of rotational viscometry data processing, which is based on the maximum likelihood function principle is considered. The method takes into account the informative content of experiments and is built on the strict solution of the Couette flow equation in a viscosimeter gap. The class of models is formed from rheologically stationary (including viscosity) models. A generalization of the model for processing the experimental plan data with the aim of building equations of the state of the rheological properties of variable factors is considered. A multicriterial interpretation of estimates of the rheological model and properties of liquids has been proposed. Illustrative examples of estimating rheological properties building of drilling fluids and their equations of state are given.
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Liang, Hu Nan, Zhu Long, and Shu Hui Yang. "Effect of Organic Bentonite on Rheological Properties of Paper Coating." Advanced Materials Research 197-198 (February 2011): 383–86. http://dx.doi.org/10.4028/www.scientific.net/amr.197-198.383.

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Effect of organic bentonite on rheological behavior of paper coating was studied. Organic bentonite was prepared by treating sodium bentonite with dimethyl diallyl ammonium chloride (DADMAC) at the following conditions: DADMAC 20%, reaction time 3h, reaction temperature 80°C and pH 9. The results showed that shear stress and voscosity of coating enhance with increasing the amount of organic bentonite. In this testing, all of flow curves fitted Cross model very much, and rheologiclal properties showed the pseudoplastic fluid, characterized as obvious shear thinning .The bentonite modified with DADMAC could promote the rheological behavior of coating.
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Sviderskyi, Valentyn, Liubov Melnyk, Anna Shendera, and Hanna Fleisher. "Rheological Properties of Polymer Colloid–Cellulose Thickener Systems." Chemistry & Chemical Technology 12, no. 2 (June 25, 2018): 207–12. http://dx.doi.org/10.23939/chcht12.02.207.

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Wang, Hongbo, Xinyi Liang, Jifan Guo, and Chungeng Zhu. "Rheological properties of micro-nano magneto-rheological fluid." Materials Express 9, no. 7 (October 1, 2019): 827–30. http://dx.doi.org/10.1166/mex.2019.1555.

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In this paper, a novel micro-nano Magneto-rheological Fluid (MR) is proposed, and its mechanical performance, mainly including the shear torque and normal stress, is studied. Here, the magnetic particle in this kind of smart fluid is composed by the micro and nano particle, that is, produced by adding some nano magnetic or nonmagnetic particles into the traditional MR fluid (its particle size about 1–10 μm). A set of testing system, mainly including the plate-on-plate shearing test rig, is built to investigate the effect of the added percent of particles on the mechanical performances of MR fluid. In the condition of a constant shear rate, if the mass fraction of the nano particles is a constant, for example 4%, with the increasing of the magnetic induction intensity, the shear torque will also increase. The normal force increases rapidly with the increasing of mass fraction of the nano particles and decrease gradually.
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Trávníček, P., T. Vítěz, and A. Přidal. "Rheological properties of honey." Scientia Agriculturae Bohemica 43, no. 4 (December 31, 2012): 160–65. http://dx.doi.org/10.7160/sab.2012.430406.

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Pitt, M. J. "Rheological properties of lubricants." Tribology International 23, no. 5 (October 1990): 367. http://dx.doi.org/10.1016/0301-679x(90)90011-d.

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KUSOTA, Misaki, Takashi KOYANO, Kazuki HINOHARA, and Katsuyoshi NISHINARI. "Rheological properties of spirulinan." NIPPON SHOKUHIN KOGYO GAKKAISHI 36, no. 7 (1989): 569–77. http://dx.doi.org/10.3136/nskkk1962.36.7_569.

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Maeda, Ayaka, Daisuke Tatsumi, and Mitsuhiro Morita. "Linear and Nonlinear Rheological Properties of Tunicate Cellulose Solution." Nihon Reoroji Gakkaishi 45, no. 2 (2017): 107–12. http://dx.doi.org/10.1678/rheology.45.107.

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Dissertations / Theses on the topic "Rheological properties"

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Scott, Shane. "Rheological Properties of Protein Hydrogels." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/20565.

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Certain hydrogel forming de novo proteins that utilize different crosslinking methods are studied experimentally on a rheometer. The stress reaxation modulus of CRC, a telechelic, triblock protein, is shown to be that of a stretched exponential function with a value of β ≅ 0.5. The insertion of an integrin binding domain and changes in pH within the range 6.5–8.5 are shown not to significantly affect the resulting rheological behavior. A selective chemical crosslinker is used on CRC hydrogel systems and is shown to change the rheological behavior of the system to that of a combination of a chemically and physically crosslinked system. Chemically crosslinked hydrogels composed of W6, a wheat gluten-based protein, demonstrate a storage modulus weakly dependent on the angular frequency that is much greater than the loss modulus, with a modulus concentration dependence of c^9/4.
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Yeong, Shoot Klan. "Rheological properties of lubricating grease." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251581.

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Gallat, Stephanie. "Rheological properties of reworked butters." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259761.

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Moolman, Pieter Lafras. "Rheological model for paint properties." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/1110.

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Thesis (PhD (Process Engineering))--Stellenbosch University, 2008.
The feasibility of predicting paint properties directly from the raw material formulation as well as the rheological data is investigated in this study. Although extensive work has been carried out on the prediction of paint properties in terms of the raw material data, very little research has been carried out on the prediction of paint properties in terms of the rheological data. Little is known about the relationship between fundamental rheological properties and real-world performance. The paint under investigation consists of fourteen raw materials. These raw materials interact in a very complex manner to produce certain desired paint properties. Evaluation of these interactions in terms of constitutive equations is almost impossible and the relationships between paint properties, raw materials and rheology can only be modelled in a statistical way. Linear relationships are investigated with linear parameter estimation techniques such as multiple linear regression. However, it has been found that many of these relationships are non-linear and that linear modelling techniques are no longer applicable for certain situations, e.g. at very high concentrations of specific raw materials. Non-linear techniques such as neural networks are used in these situations. The relationship between the raw materials, paint properties and rheology are evaluated using the following three models: · MODEL 1: The relationship between rheology and raw materials · MODEL 2: The relationship between paint properties and raw materials · MODEL 3: The relationship between paint properties and rheology MODEL 1 makes use of techniques such as principal component analysis and preliminary modelling to respectively reduce redundancy and to capture as much data as possible. MODELS 2 and 3 make use of linear screening techniques in order to identify relevant raw materials and paint properties. The validity of every model is checked to ensure that predictions and interpretations are unbiased and efficient. MODEL 1 revealed that emulsion, extender particles, pigment, water, organic pigment and solvent are the six most important raw materials affecting the rheology of the specific paint. The rheology curves that are predicted most accurately by means of multiple linear regression are the “Amplitude Sweep” (AS), “3-Interval-Thixotropy-Test” (3-ITT) and the “Flow Curve” (FC). Non-linear rheological behaviour is encountered at high pigment volume concentrations (PVC) and volume solids (VS), due to the strong dependency of the rheology of the paint on these properties. It has been shown that neural networks perform better than multiple linear regression in predicting the rheological behaviour of these paint samples for which the raw materials vary by more than 20% from the standard formulation. On average, neural networks improve predictability of the rheological parameters of these samples by 54%. The largest improvement in predictability is made on the rheological variable “Extra Low Frequency” value (CXLF), where multiple linear regression resulted in relative errors of 59%, while neural networks resulted in errors of only 5%. Other predictions of rheology curves where neural networks have shown a major improvement on predictability are the “Time Sweep” (TS) – 68% increase in accuracy and “Low Shear” curve (LS) – 63% increase in accuracy. The smallest increase that the neural network had on the predictability of a rheology curve, was a 33% increase in accuracy of the “Amplitude Sweep” (AS) predictions. Multiple linear regression models of MODEL 2 predict the critical paint properties of Opacity, Gloss, Krebs Viscosity and Dry Film Thickness with relative errors smaller than 10%. It has been shown that 90% of all new predictions fall within the allowable error margin set by the paint manufacturer. Paint properties that can be predicted with an expected error of between 10% and 20% are Dry and Wet Burnish, Open Time and Water Permeability. Paint properties that are predicted the most inaccurately by MLR, that results in errors larger than 20% are Dirt Pick-Up and Sagging. Non-linear techniques such as neural networks are used to predict the paint properties of these paint samples for which the raw materials vary by more than 20% from the standard formulation. The neural networks show a major improvement on the predictability of the paint properties for those paint samples that vary more than 20% from the standard formulation. On average, neural networks improve predictability of the paint properties by 47%. The largest improvement in predictability is made on the Wet Burnish20 prediction, where multiple linear regression resulted in relative errors of 66%, while neural networks resulted in errors of only 0.6%. Other paint property predictions where neural networks have shown a major improvement on predictability of 80% or more in accuracy are Gloss – 80% increase in accuracy and Dry Film Thickness – 81% increase in accuracy. The smallest increase that the neural network had on the predictability of a paint property, was a 33% increase in accuracy of the Sag predictions. MODEL 2 makes it possible for the paint manufacturer to test tolerances around certain paint properties during manufacturing. Rheology is still a very under-utilised tool for explaining certain paint properties. MODEL 3 quantified the correlation between fundamental rheological properties and real world performance of a paint. It has been shown that rheological measurements can be used accurately to predict certain critical paint properties such as Opacity, Krebs Viscosity, Dry Film Thickness and Gloss within the allowable error margin given by the paint manufacturer. Multiple linear regression models predict the paint properties of Opacity, Krebs Viscosity and Dry Film Thickness with relative errors smaller than 10%, with rheology as input to the model. A neural network of MODEL 3 was developed to predict the paint properties of those paint samples that vary more than 20% from the standard formulation, by using rheology data as input to the model. The neural networks perform better than multiple linear regression in predicting the paint properties of these paint samples. On average, neural networks that use rheology data as input, predict the paint properties 49% more accurate than equivalent multiple linear regression models. The greatest improvement in model predictability is for Water Permeability - 73% increase in accuracy and Gloss - 70% increase in accuracy....
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Khan, Shahid Wahab. "Rheological properties of talc-filled polypropylene." Thesis, Loughborough University, 2001. https://dspace.lboro.ac.uk/2134/7567.

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In this study polypropylene was modified by a range of talc (Mg3(OH)2Si4OlO) fillers. Three different types of surface modifiers were also used, two types of silanes (octyltriethoxysilane and y-aminopropyltriethoxysilane) and maleic anhydride modified polypropylene plus polyethylene wax as an external lubricant. A series of compounds were prepared in an APV twin screw compounder, based on talc addition level, morphology, particle size, surface coatings and coupling agents. The study showed that addition of talc to PP increases the shear viscosity and the blend system generally follows the power law in the shear rate range studied. The experimental values obtained with talc-filled PP were compared with theoretical data obtained from the Maron-Pierce type equation. It was found that theory predicts a higher value of relative viscosity for some talc fillers. A model equation is proposed for talc-filled PP that predicts accurately relative viscosity of the compound for different volume fractions of talc filler. PP-filled with talc having predominantly acicular particles (high surface area), shows a highest shear viscosity values, since high surface area fillers tend to increase the occluded polymer increasing the effective filler volume. The addition of a high level of coating decreasess hearv iscosity of the system,a ddition of a reactivec oupling systems lightly increasess hearv iscosity. Wall slip for unfilled PP was consistently evident. The slip velocity increases systematically with shear stress, but there is a critical value below which slip velocity was negligible. Addition of talc decreased the slip velocity at a given stress. A mechanism of slip has been proposed whereby a 'slip layer' on the die surface provides a sharp, low energy interface over which, at sufficiently high shear stress, the fluid PP can slip. A new empirical model has been proposed to predict the slip velocity of filled PP, as a function of talc volume fraction. PP filled with 10 % wt. talc having predominantly acicular particles, showed a higher slip velocity than PP filled with talc of other morphologies. It was observed that slip velocity increased by coating talc (either by use of coating or coupling agents) due to modification of velocity distributions in the flow channel. Extrudate swell increases with increasing shear rate for unfilled and talc-filled PP compounds. Inclusion of talc generally decreases the swell over the entire range of shearr ates studied,b ecauset he addition of talc to PP increasesth e shear/extensional modulus and thereby decreasede lastic strain recovery. No appreciablei nfluence of particle size on swell ratio was observed. Coating talc with octyltriethoxysilane produces higher swell relative to uncoated filled PP, and higher coating levels consistently produced higher swell values. However, coupling agent 7- aminopropyltriethoxsilane and maleic anhydride modified polypropylene both reduced the swell of the filled polymer system, with a more pronounced effect in extension than in shear. Swell decreased with an increase in capillary length-todiameter ratio and increased with increase in shear rate, (or shear stress) with or without coating/coupling agent. Addition of talc fillers delayed the onset of melt fracture and higher loadings of talc completely suppressed the melt fracture in the range of shear rate studied. Melt fracture for unfilled and filled PP has been studied and quantified by the frequency of the melt distortion. A mechanism for polymer melt fracture has been proposed to explain the results, based on the tensile failure of the material in extensional deformation. It was found that shear rate and die L/D ratio were the major causes of changesin severity of melt fracture for the unfilled and talc-filled compoundss tudied. However, talc morphology and particle size did not have significant effects on the severity of melt fracture.
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Ozer, Barbaros Hamdi. "Rheological properties of labneh (concentrated yoghurt)." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267428.

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Rogers, Michael D. H. "Rheological properties of gelatin/starch composite gels." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ58374.pdf.

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Kreiba, Ali. "The rheological properties of aqueous polyacrylamide solutions." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ59314.pdf.

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Kulamarva, Arun. "Rheological and thermal properties of sorghum dough." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98740.

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Sorghum is a gluten free cereal and forms the staple diet of a majority of the populations living in the semi-arid tropics dough. It is usually consumed in the form of bread made from the grain flour. Dough made with sorghum flour has poor viscoelastic properties compared to wheat dough and mechanical methods for production of sorghum roti are scarce. This study was conducted to elucidate the rheological and thermal properties of sorghum dough to establish its behavior. The temperature and amount of water used for preparation of the dough and the composition of the flour were varied. Wheat, soya and black gram flours were used to prepare the composite doughs. Sensory characteristics of roti made with these dough samples by the traditional method and mechanical compression were studied. The results are presented and their implications are discussed.
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Xue, Jun 1966. "Thermal and rheological properties of batter systems." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103018.

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Batters are highly complex systems with wide ranging ingredients including flours, water, flavorings, and spices. Interactions between the ingredients determine the performance of batters and the final quality of coated products. Addition of hydrocolloids into batters of different types of flour provides special effects on batter performance. The functionalities of hydrocolloids-flour mixtures in terms of the thermal and rheological properties of the resulting batter systems were investigated in this study.
The rheological properties of the batter were determined using a strain/stress control rheometer. A steady state method was used to measure the viscosity as a function of the shear rate varying from 0.5 to 150 s-1 at 15°C. The resulting data was then fitted to the Herschel-Bulkley Model. The viscoelastic properties were monitored as a function of temperature and were determined using a dynamic oscillatory test. Two different temperature profiles were used to simulate cooking and storage processes. Differential scanning calorimetry (DSC) was used to determine thermal properties (namely glass transition temperature, gelatinization temperature, ice melting temperature, and enthalpy) and to describe the phase transitions that occur during heating and cooling processes.
The rheological and thermal properties varied for different types of flours and their combination ratios, as well as different types of hydrocolloids at different concentrations. The replacement of corn flour greatly altered the viscosity and viscoelastic properties of wheat based and rice based batter systems. Using 100% corn flour based batter showed highest yield stress, whereas 100% rice flour based batter did not show any yield stress. Higher temperatures and longer times were required to gelatinize starch at the higher levels of rice flour for each batter system flour mix combination. The various combination ratios of the flours apparently did not significant influence the gelatinization temperatures of the batter systems. However they significantly influence the total enthalpies (DeltaHG) of the various samples. Wheat flour based batters showed the lowest glass transition temperatures. Thermal properties of wheat-based batters were influenced by the replacement of wheat with rice or corn flours. Corn flour based batters required considerably more energy for gelatinization during the cooking process.
Hydrocolloids lowered flow behavior index (n) and increased the consistency index (k) of all batters. The gums also changed the onset temperature of structure development and the storage and loss moduli of the batter systems. Hydrocolloids greatly influenced the thermal properties of batter systems. The gums shifted gelatinization temperature and depressed glass transition temperature of resulting batter systems. Further, MC increased the melting temperature (Tm) for the test batter systems as compared with the values for the control system without methylcellulose (MC). Carboxymethylcellulose (CMC) did not show statistically significant effects on the total enthalpies of ice melting for all samples. However, MC and CMC showed more pronounced effects on rice, corn, and their combined flour based batters than it did on wheat flour based batters. However, this characteristic does not show in batter systems containing xanthan gum.
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Books on the topic "Rheological properties"

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Briant, Jean. Rheological properties of lubricants. Paris: Éditions Technip, 1990.

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Federation, International Dairy, ed. Rheological and fracture properties of cheese. Brussels: International Dairy Federation, 1991.

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B, Froĭshteter G., and Vinogradov G. V, eds. Rheological and thermophysical properties of greases. New York: Gordon and Breach Science Publishers, 1989.

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1955-, Laba Dennis, ed. Rheological properties of cosmetics and toiletries. New York: M. Dekker, 1993.

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Sonebi, Mohammed, and Dimitri Feys, eds. Measuring Rheological Properties of Cement-based Materials. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-36743-4.

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Chien, Su-Ying. Rheological and Seismic Properties of Solid-Melt Systems. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03098-2.

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Jasim, Ahmed, ed. Novel food processing: Effects on rheological functional properties. Boca Raton, Fla: CRC Press, 2010.

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Yuichi, Majima, and Hamaguchi Yukiyoshi, eds. Rheological and biochemical properties of middle ear effusion. St. Louis, Mo: Annals Pub. Co., 1986.

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Münstedt, Helmut. Rheological and Morphological Properties of Dispersed Polymeric Materials. München, Germany: Carl Hanser Verlag GmbH & Co. KG, 2016. http://dx.doi.org/10.1007/978-1-56990-608-8.

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Wageningen, Landbouwuniversiteit, ed. The rheological and fracture properties of Gouda cheese. Wageningen?: Landbouwuniversiteit te Wageningen?, 1988.

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Book chapters on the topic "Rheological properties"

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Phan-Thien, Nhan, and Nam Mai-Duy. "Rheological Properties." In Understanding Viscoelasticity, 29–41. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62000-8_2.

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Phan-Thien, Nhan. "Rheological Properties." In Understanding Viscoelasticity, 29–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32958-6_2.

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Gooch, Jan W. "Rheological Properties." In Encyclopedic Dictionary of Polymers, 632. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_10024.

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Phan-Thien, Nhan. "Rheological Properties." In Understanding Viscoelasticity, 27–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-10704-1_2.

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Schmidt, Wolfram, and Julian Link. "Rheological Properties." In RILEM State-of-the-Art Reports, 7–31. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36743-4_2.

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Figura, Ludger O., and Arthur A. Teixeira. "Rheological Properties." In Food Physics, 145–222. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27398-8_4.

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Guz, A. N. "Solids with rheological properties." In Foundations of Engineering Mechanics, 129–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-69633-9_6.

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Münstedt, Helmut, and Friedrich Rudolf Schwarzl. "Rheological Properties and Processing." In Deformation and Flow of Polymeric Materials, 527–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55409-4_17.

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Nishinari, Katsuyoshi. "Rheological and Thickening Properties." In Food Hydrocolloids, 75–117. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0320-4_3.

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Tadros, Th F. "Rheological Properties of Emulsion Systems." In Emulsions — A Fundamental and Practical Approach, 173–88. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2460-7_12.

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Conference papers on the topic "Rheological properties"

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A. Meretei, R. Schaefer, A. Fekete, and R. Scherer. "Rheological Properties of Bread." In 2002 Chicago, IL July 28-31, 2002. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2002. http://dx.doi.org/10.13031/2013.9782.

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Vasyukova, A. T., I. U. Kusova, and A. E. Alekseev. "Rheological Properties Of Suspensions." In International Scientific and Practical Conference "Biotechnology, Ecology, Nature Management". European Publisher, 2022. http://dx.doi.org/10.15405/epls.22011.32.

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Taylan, Onur, and Halil Berberoglu. "Rheological Properties of “Dry Water”." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64114.

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This study reports the rheological properties of the novel material “dry water” which contains about 98% by weight water but resembles a dry powder. Dry water is a water-in-air inverse foam which consists of microscopic water droplets encapsulated with hydrophobic fumed-silica nanoparticles. This novel material offers a large surface to volume ratio on the order of 2 × 105 m2/m3 for the gas and water phases. Thus, it provides a convenient medium for surface area limited processes and finds applications from cosmetics to gaseous fuel storage. In this study both steady and dynamic rheological properties of dry water were measured. In particular, the elastic (G′) and viscous (G″) moduli, and the complex dynamic shear viscosity (η*) were recovered from experimental data. Results showed that both the elastic and viscous moduli decreased with increasing strain at strains larger than 4%, and both moduli are weak functions of rotational frequency. Complex dynamic shear viscosity decreased with strain and rotational frequency. When compared with the studies in literature, rheological experiments and obtained results indicated that dry water behaves as a gel rheologically under the investigated conditions.
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Baklanova, O. N., O. A. Knyazheva, and A. V. Lavrenov. "Plastic carbon composite rheological properties." In OIL AND GAS ENGINEERING (OGE-2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5051840.

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Arun G. Kulamarva, Yvan Gariépy, Venkatesh R. Sosle, Michael Ngadi, and Vijaya Raghavan. "Rheological Properties of Sorghum Dough." In 2004, Ottawa, Canada August 1 - 4, 2004. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2004. http://dx.doi.org/10.13031/2013.16929.

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Ubaidillah, Bhre Wangsa Lenggana, Heru Sukanto, Saiful Amri Mazlan, Kacuk Cikal Nugroho, and Hari Wahyu Nugroho. "Rheological properties of Indonesia honeys." In THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0104947.

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Wang, Xiaojie, Faramarz Gordaninejad, Mert Calgar, Yanming Liu, Joko Sutrisno, and Alan Fuchs. "Electrical Properties of Magneto-Rheological Elastomers." In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-566.

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A magnetorheological elastomer (MRE) is comprised of ferromagnetic particles aligned in a polymer medium by exposure to a magnetic field. The structures of the magnetic particles within elastomers are very sensitive to the external stimulus of either mechanical force or magnetic field, which result in multi-response behaviors in MRE. In this study, sensing properties of MREs through experimentally characterizing the electrical properties of materials and theirs interfaces with external stimulus (magnetic field or stress/strain) are investigated. A phenomenological model is proposed to model the impedance response of MREs. Results show that MRE samples exhibit significant changes in measured values of impedance and resistance in response to compressive deformation, as well as applied magnetic field.
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S.M.H. Saif, Yubin Lan, and Shirley Wang. "Rheological Properties of Goat Milk Products." In 2004, Ottawa, Canada August 1 - 4, 2004. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2004. http://dx.doi.org/10.13031/2013.18198.

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Li, JiaPeng, Yunfei Chen, Min Chen, Changzheng Xiang, and Zan Wang. "The Rheological Properties of Nanoscale Fluid." In ASME 2009 Second International Conference on Micro/Nanoscale Heat and Mass Transfer. ASMEDC, 2009. http://dx.doi.org/10.1115/mnhmt2009-18225.

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Nonequilibrium molecular dynamics simulation is used to simulate the rheological properties of the nanoscale fluid. A physical model of the “bulk – nanochannel – bulk” that resembles a fluid film confined between two solid walls was simulated. The simulation is performed at variable wall speeds, nanochannel heights and surface charge densities. Simulation results indicate that the effective densities of water decrease with the size as the channel size below 1 nm when the surface charge density is −0.30 C/m2. And it is also demonstrated that the water density increases with the surface charge density. The fluid viscosity keeps at around 1.78 cp when the thickness of the film more than 1.5 nm, the −0.30 C/m2 surface charge density and the 5×1010 S−1 shear rate, which is quite close to the bulk value. The fluid viscosity keeps at around 1.69 cp when the surface charge density is −0.15 C/m2, and 1.28 cp when the surface density is 0 C/m2. In addition, the shear rate shows strong influence on the nanoscale fluid film. Compare to the surface density −0.30 C/m2 and −0.15 C/m2, the fluid density of the 0 C/m2 has different properties when the shear rate varied from 0.1×011 S−1 to 1.0×1011 S−1. Especially, when the nanochannel height is 0.8 nm, the shear viscosity begins to increase and reach the peak when the shear rate is 0.2×1011 S−1, then the shear viscosity decreases with the shear rate increase. The shear viscosity of the height of 2.5 nm and 3.0 nm show a constant value which is quite close to the bulk value, and shear viscosity of 1.5 nm height increases and reaches plateau when the shear rate exceeds 0.2×1011 S−1.
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Davidová, Vendula, and Pavel Reiterman. "Rheological properties of selected building materials." In SPECIAL CONCRETE AND COMPOSITES 2019: 16th International Conference. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0000389.

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Reports on the topic "Rheological properties"

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Ebadian, M. A. Rheological properties of defense waste slurries. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/665914.

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Zrobok, R. Rheological properties of Syncrude mature fine tails. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1992. http://dx.doi.org/10.4095/305308.

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Li, Chuanping. Rheological Properties of Aqueous Nanometric Alumina Suspensions. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/835308.

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Wu, Qihua, Kathryn Kremer, Stephen Gibbons, and Alan Kennedy. Determination of nanomaterial viscosity and rheology properties using a rotational rheometer. Engineer Research and Development Center (U.S.), April 2022. http://dx.doi.org/10.21079/11681/43964.

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Rheology studies the flow of matter and is one of the most important methods for materials characterization because flow behavior is responsive to properties such as molecular weight and molecular weight distribution. Rheological properties help practitioners understand fluid flow and how to improve manufacturing processes. Rheometers have been extensively used to determine the viscosity and rheological properties of different materials because the measurements are quick, accurate, and reliable. In this standard operating procedure, a general protocol using a rotational rheometer is developed for characterizing rheological properties of nanomaterials. Procedures and recommendations for sample preparation, instrument preparation, sample measurements, and results analysis are included. The procedure was tested on a variety of carbon-based nanomaterials.
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Ferraris, Chiara F. Measurement of rheological properties of high performance concrete:. Gaithersburg, MD: National Institute of Standards and Technology, 1996. http://dx.doi.org/10.6028/nist.ir.5869.

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Mao, F., and M. A. Ebadian. Rheological Properties of Defense Waste processing Facility Melter Feeds. Office of Scientific and Technical Information (OSTI), October 1998. http://dx.doi.org/10.2172/968.

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Wells, Beric E., Dean E. Kurath, Lenna A. Mahoney, Yasuo Onishi, James L. Huckaby, Scott K. Cooley, Carolyn A. Burns, et al. Hanford Waste Physical and Rheological Properties: Data and Gaps. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1025093.

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Ohene, F. Rheological properties essential for the atomization of coal water slurries (CWS). Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/7181456.

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Kabadi, V. N. Thermodynamic and rheological properties of solid-liquid systems in coal processing. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/113900.

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Ohene, F. Rheological properties essential for the atomization of coal water slurries (CWS). Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/6735641.

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