Academic literature on the topic 'Rheological'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Rheological.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Rheological"
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.
Full textMyslyuk, 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.
Full textBarsukov, 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.
Full textLiang, 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.
Full textZhao, Si Hai, Zhe Qian Zhao, Lin Yu Jiao, Yu Wei Hu, Ji Shen Dong, and Ji Ye Gao. "Study of Nanoparticle Iron-Nitride MRF and its Rheological Characteristic." Advanced Materials Research 774-776 (September 2013): 650–53. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.650.
Full textlijima, Shigeruko, Fujio Otsuka, and Yuji Kikuchi. "Unsei-in Inhibits Rheological Activity of Leukocytes: Mechanism of Action in Neutrophil-related Skin Diseases." American Journal of Chinese Medicine 23, no. 01 (January 1995): 81–90. http://dx.doi.org/10.1142/s0192415x95000110.
Full textArcaro, Sabrina, João Batista Rodrigues Neto, Francielly Roussenq Cesconeto, Jaime Domingos Teixeira, Fabiano Raupp-Pereira, and Antonio Pedro Novaes de Oliveira. "Processing of Silicas Formed by Slip Casting." Materials Science Forum 775-776 (January 2014): 525–28. http://dx.doi.org/10.4028/www.scientific.net/msf.775-776.525.
Full textEwoldt, Randy H. "Predictions for the northern coast of the shear rheology map: XXLAOS." Journal of Fluid Mechanics 798 (May 31, 2016): 1–4. http://dx.doi.org/10.1017/jfm.2016.265.
Full textFilisko, Frank E., and Adam Schubring. "THE ANOMALOUS DISPERSION AND RHEOLOGICAL RESPONSE OF ER MATERIALS." International Journal of Modern Physics B 10, no. 23n24 (October 30, 1996): 3367–73. http://dx.doi.org/10.1142/s0217979296001811.
Full textGordeeva, I. V., T. V. Dudareva, I. A. Krasotkina, V. N. Gorbatova, V. G. Nikol'skiy, U. G. Zvereva, and A. G. Obukhov. "Bitumen Resistance to Plastic Deformation at High Temperatures." Нефтехимия 63, no. 3 (June 15, 2023): 314–28. http://dx.doi.org/10.31857/s0028242123030036.
Full textDissertations / Theses on the topic "Rheological"
Zhang, Kehao. "Rheological characterization of dental waxes." [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=972299416.
Full textScott, Shane. "Rheological Properties of Protein Hydrogels." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/20565.
Full textFang, Yunli. "Rheological effect in film blowing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0019/MQ48852.pdf.
Full textYeong, Shoot Klan. "Rheological properties of lubricating grease." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251581.
Full textVarsani, Vijay. "Rheological behaviour of metallic liquids." Thesis, Brunel University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436281.
Full textGallat, Stephanie. "Rheological properties of reworked butters." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259761.
Full textMorey, Michaela. "Rheological studies of molten chocolate." Thesis, University of Birmingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250282.
Full textMoolman, Pieter Lafras. "Rheological model for paint properties." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/1110.
Full textThe 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....
Howarth, Leslie George. "Rheological studies of bentonite dispersions." Thesis, University of Bristol, 1986. http://hdl.handle.net/1983/8cd3b134-1a67-40b0-a779-70559df77948.
Full textKottke, Peter Arthur. "Rheological Implications of Tension in Liquids." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5015.
Full textBooks on the topic "Rheological"
Collyer, A. A., and D. W. Clegg, eds. Rheological Measurement. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0.
Full textCollyer, A. A., and D. W. Clegg, eds. Rheological Measurement. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4934-1.
Full textA, Collyer A., and Clegg D. W, eds. Rheological measurement. London: Elsevier Applied Science, 1988.
Find full textA, Collyer A., and Clegg D. W, eds. Rheological measurement. London: Elsevier Applied Science, 1988.
Find full textCollyer, A. A. Rheological Measurement. Dordrecht: Springer Netherlands, 1998.
Find full textWhorlow, R. W. Rheological techniques. 2nd ed. New York: E. Horwood, 1992.
Find full textWhorlow, R. W. Rheological techniques. 2nd ed. NewYork: Ellis Horwood, 1991.
Find full textWhorlow, R. W. Rheological techniques. 2nd ed. New York: Ellis Horwood, 1992.
Find full textW, Clegg D., and Collyer A. A, eds. Rheological measurement. 2nd ed. London: Chapman & Hall, 1998.
Find full textD, Joseph Daniel, and Renardy Michael, eds. Rheological fluid dynamics. Berlin: Springer International, 1993.
Find full textBook chapters on the topic "Rheological"
Gooch, Jan W. "Rheological." In Encyclopedic Dictionary of Polymers, 632. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_10023.
Full textMackley, M. R. "Capillary Rheometry." In Rheological Measurement, 1–23. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_1.
Full textMarin, Gérard. "Oscillatory Rheometry." In Rheological Measurement, 297–343. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_10.
Full textLodge, A. S. "Normal Stress Differences from Hole Pressure Measurements." In Rheological Measurement, 345–82. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_11.
Full textDealy, J. M., and A. J. Giacomin. "Sliding Plate and Sliding Cylinder Rheometers." In Rheological Measurement, 383–404. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_12.
Full textBrownsey, G. J. "Commercial Rotational Instruments." In Rheological Measurement, 405–31. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_13.
Full textMackay, M. E., and D. V. Boger. "Flow Visualisation in Rheometry." In Rheological Measurement, 433–77. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_14.
Full textUtracki, L. A. "The Rheology of Two-Phase Flows." In Rheological Measurement, 479–594. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_15.
Full textBarthes-Biesel, D. "Mathematical Modelling of Two-Phase Flows." In Rheological Measurement, 595–634. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_16.
Full textHan, Chang Dae. "Slit Rheometry." In Rheological Measurement, 25–48. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_2.
Full textConference papers on the topic "Rheological"
Sahin, Huseyin, Faramarz Gordaninejad, Xiaoije Wang, and Alan Fuchs. "Rheological behavior of magneto-rheological grease (MRG)." In The 14th International Symposium on: Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, edited by Yuji Matsuzaki, Mehdi Ahmadian, and Donald J. Leo. SPIE, 2007. http://dx.doi.org/10.1117/12.717714.
Full textTroufanov, Nikita, and Brennen Huller. "Rheological Translations." In ACADIA 2014: Design Agency. ACADIA, 2014. http://dx.doi.org/10.52842/conf.acadia.2014.255.
Full textTroufanov, Nikita, and Brennen Huller. "Rheological Translations." In ACADIA 2014: Design Agency. ACADIA, 2014. http://dx.doi.org/10.52842/conf.acadia.2014.255.
Full textNakano, M., and K. Koyama. "Electro-Rheological Fluids, Magneto-Rheological Suspensions and their Applications." In Proceedings of the 6th International Conference. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789814527736.
Full textBullough, W. A. "Electro-Rheological Fluids, Magneto-Rheological Suspensions and Associated Technology." In Proceedings of the 5th International Conference. WORLD SCIENTIFIC, 1996. http://dx.doi.org/10.1142/9789814531160.
Full textTaylan, 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.
Full textA. 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.
Full text"Rheological Behavior of Fluids." In 3rd International Conference on Scientific and Academic Research ICSAR 2023. All Sciences Academy, 2023. http://dx.doi.org/10.59287/as-proceedings.768.
Full textVasyukova, 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.
Full textKorobko, Evguenia V., and Yulia O. Korobko. "Thermophysical properties and rheological behavior of electro-rheological fluids at different temperatures." In SPIE's 7th Annual International Symposium on Smart Structures and Materials, edited by T. Tupper Hyde. SPIE, 2000. http://dx.doi.org/10.1117/12.384593.
Full textReports on the topic "Rheological"
Hackley, Vincent A., Vincent A. Hackley, and Chiara F. Ferraris. Guide to rheological nomenclature. Gaithersburg, MD: National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.sp.946.
Full textEbadian, M. A. Rheological properties of defense waste slurries. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/665914.
Full textZrobok, 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.
Full textLi, Chuanping. Rheological Properties of Aqueous Nanometric Alumina Suspensions. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/835308.
Full textMICHAEL, STONE. Rheological Modifier Testing with DWPF Process Slurries. Office of Scientific and Technical Information (OSTI), February 2004. http://dx.doi.org/10.2172/839499.
Full textMcCarthy, D., M. K. C. Chan, and R. O. Lokken. Rheological evaluation of pretreated cladding removal waste. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/6234235.
Full textWu, 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.
Full textKoopman, D. C. Rheological Characterization of Unusual DWPF Slurry Samples (U). Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/881514.
Full textLanning, D. D., P. A. Smith, G. Terrones, and D. E. Larson. Summary of rheological studies related to HWVP slurries. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/220593.
Full textFow, C. L., D. McCarthy, and G. T. Thornton. Rheological evaluation of simulated neutralized current acid waste. Office of Scientific and Technical Information (OSTI), June 1986. http://dx.doi.org/10.2172/5757368.
Full text