Kinematic viscosity prediction for aqueous solutions with various solutes |
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| Affiliation: | 1. Department of Chemistry, Faculty of Physics & Chemistry, Alzahra University, 19835-389 Vanak, Tehran, Iran;2. Department of Chemistry, Faculty of Science, Shahid Beheshti University, G.C., Evin 19839-63113, Tehran, Iran;1. Department of Cell Biology, Institute of Biomedicine, College of Life Science and Technology, Jinan University, Guangzhou, Guangdong 510632, China;2. National Key Laboratory of Protein Engineering and Plant Gene Engineering, LSC, Peking University, Beijing 100871, China;1. Quality MediPhys LLC, Denville, NJ 07834, USA;2. John Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ 07601, USA;3. Medical Physics, McGill University Health Centre, Montreal, QC, Canada H3G 1A4;4. Princeton Radiation Oncology Center, Monroe, NJ 08831, USA;5. Department of Radiation Oncology, Tufts University School of Medicine, Boston, MA 02111, USA;1. Department of Medical Imaging and Radiological Science, Central Taiwan University of Sciences and Technology, Taiwan;2. Department of Radiology, Cheng Ching Hospital at Chung Kang, Taichung, Taiwan;3. Institute of Nuclear Engineering and Science, National Tsing Hua University, Hsinchu, Taiwan;4. Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan |
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| Abstract: | In numerous research areas knowledge of aqueous solutions viscosity is very important to interpret the experimental data or to use it in simulation studies. When Kumar’s semitheoretical equation for prediction of the dynamic viscosity of a solution of a single electrolyte is modified for prediction of kinematic viscosities, it is found that the resulting expression is valid both for salts and for certain organic solutes. The parameters characterizing individual solutes in aqueous solution at temperatures between 293.1 and 323.1 K also allow prediction of the kinematic viscosities of solutions of multiple solutes in the same temperature and concentration range, with overall errors of <2.5% in 36 of 39 multi-component systems. |
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