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Artykuły w czasopismach na temat „Residence time distribution”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 9 czerwca 2025

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1

Landfeld, A., R. Žitný, M. Houška, K. Kýhos, and P. Novotná. "Residence time distribution during egg yolk pasteurisation." Czech Journal of Food Sciences 20, No. 5 (November 19, 2011): 193–201. http://dx.doi.org/10.17221/3531-cjfs.

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This work describes the determination of the average residence times during egg yolk &ndash; and whole liquid eggs pasteurisation in an industrial pasteurisation equipment (plate pasteuriser + tube holder). For the detection of the impulse the conductivity method was used. Conductivity was then monitored using the bridge method. In the system, the total of 3 probes were placed. To mark the particles of the flowing product, salted yolk with the content of salt of 1.3 or 1.8% was used. In addition, rheological properties of pasteurised yolk were determined at the temperatures of 5, 25, 45, and 65&deg;C. Based on the geometry of the channels in the individual sections of the pasteurisation equipment, the character of the flow was estimated using the Re criterion and was found to be laminar in all parts of the system. The work includes the comparison of the average residence times obtained by (a) the method of volumes, (b) the analysis of the conductivity response, (c) the estimate made by using the TUPLEX software, and (d) the estimate of the peaks of the conductivity response. &nbsp;

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2

Iordache, Octavian, and Sergiu Corbu. "Random residence time distribution." Chemical Engineering Science 41, no. 8 (1986): 2099–102. http://dx.doi.org/10.1016/0009-2509(86)87127-5.

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3

Werner, Timothy M., and Robert H. Kadlec. "Wetland residence time distribution modeling." Ecological Engineering 15, no. 1-2 (June 2000): 77–90. http://dx.doi.org/10.1016/s0925-8574(99)00036-1.

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4

Rodrigues, Alírio E. "Residence time distribution (RTD) revisited." Chemical Engineering Science 230 (February 2021): 116188. http://dx.doi.org/10.1016/j.ces.2020.116188.

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5

Li, Mingheng. "Residence time distribution in RO channel." Desalination 506 (June 2021): 115000. http://dx.doi.org/10.1016/j.desal.2021.115000.

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6

Martin, A. D. "Interpretation of residence time distribution data." Chemical Engineering Science 55, no. 23 (December 2000): 5907–17. http://dx.doi.org/10.1016/s0009-2509(00)00108-1.

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7

Jager, T., P. Santbulte, and D. J. van Zuilichem. "Residence time distribution in kneading extruders." Journal of Food Engineering 24, no. 3 (January 1995): 285–94. http://dx.doi.org/10.1016/0260-8774(95)90047-f.

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8

Chen, Liqin, Zaoqi Pan, and Guo-Hua Hu. "Residence time distribution in screw extruders." AIChE Journal 39, no. 9 (September 1993): 1455–64. http://dx.doi.org/10.1002/aic.690390905.

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9

Hill, S. "Residence time distribution in continuous crystallisers." Journal of Applied Chemistry 20, no. 10 (May 4, 2007): 300–304. http://dx.doi.org/10.1002/jctb.5010201001.

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10

Pattanaik, Biplab R., Ajay Gupta, and Hariharan S. Shankar. "Residence Time Distribution Model for Soil Filters." Water Environment Research 76, no. 2 (March 2004): 168–74. http://dx.doi.org/10.2175/106143004x141708.

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11

Berezhkovskii, Alexander M., Veaceslav Zaloj, and Noam Agmon. "Residence time distribution of a Brownian particle." Physical Review E 57, no. 4 (April 1, 1998): 3937–47. http://dx.doi.org/10.1103/physreve.57.3937.

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12

Hsu, Jyh-Ping, and Tzu-Hsuan Wei. "Residence Time Distribution of a Cylindrical Microreactor." Journal of Physical Chemistry B 109, no. 18 (May 2005): 9160–65. http://dx.doi.org/10.1021/jp044231u.

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13

Durney, T. E., and T. P. Meloy. "Experimental proof: Residence time distribution in cascadography." International Journal of Mineral Processing 14, no. 4 (June 1985): 313–17. http://dx.doi.org/10.1016/0301-7516(85)90054-7.

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14

Fan, L. T., J. R. Too, and R. Nassar. "Stochastic simulation of residence time distribution curves." Chemical Engineering Science 40, no. 9 (1985): 1743–49. http://dx.doi.org/10.1016/0009-2509(85)80036-1.

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15

Daud, W. R. B. W., and W. D. Armstrong. "Residence time distribution of the drum dryer." Chemical Engineering Science 43, no. 9 (1988): 2399–405. http://dx.doi.org/10.1016/0009-2509(88)85174-1.

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16

Haas, Charles N., Josh Joffe, Mark S. Heath, and Joseph Jacangelo. "Continuous Flow Residence Time Distribution Function Characterization." Journal of Environmental Engineering 123, no. 2 (February 1997): 107–14. http://dx.doi.org/10.1061/(asce)0733-9372(1997)123:2(107).

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17

Rogovin, Z., Y. C. Lo, J. C. Herbst, and K. Rajamani. "Closed grinding circuit residence time distribution analysis." Mining, Metallurgy & Exploration 4, no. 4 (November 1987): 207–14. http://dx.doi.org/10.1007/bf03402694.

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18

Sancho, Martin F., and M. A. Rao. "Residence time distribution in a holding tube." Journal of Food Engineering 15, no. 1 (January 1992): 1–19. http://dx.doi.org/10.1016/0260-8774(92)90037-7.

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19

Fernández-Sempere, J., R. Font-Montesinos, and O. Espejo-Alcaraz. "Residence time distribution for unsteady-state systems." Chemical Engineering Science 50, no. 2 (January 1995): 223–30. http://dx.doi.org/10.1016/0009-2509(94)00230-o.

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20

Wojewódka, Przemysław, Robert Aranowski, and Christian Jungnickel. "Residence time distribution in rapid multiphase reactors." Journal of Industrial and Engineering Chemistry 69 (January 2019): 370–78. http://dx.doi.org/10.1016/j.jiec.2018.09.037.

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21

Renström, Roger. "Mean Residence Time and Residence Time Distribution When Sawdust Is Dried in Continuous Dryers." Drying Technology 26, no. 12 (November 21, 2008): 1457–63. http://dx.doi.org/10.1080/07373930802412066.

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22

Diaz, Francisco, and Juan Yianatos. "Residence time distribution in large industrial flotation cells." Atoms for Peace: an International Journal 3, no. 1 (2010): 2. http://dx.doi.org/10.1504/afp.2010.031015.

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23

Baranyai, L., and A. Doma. "Residence Time Distribution Studies on Water-Softening Reactors." Isotopenpraxis Isotopes in Environmental and Health Studies 25, no. 8 (January 1989): 341–43. http://dx.doi.org/10.1080/10256018908624147.

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24

Yianatos, J., L. Bergh, L. Vinnett, and F. Díaz. "Modeling of residence time distribution in regrinding Vertimill." Minerals Engineering 53 (November 2013): 174–80. http://dx.doi.org/10.1016/j.mineng.2013.08.006.

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25

Vikhansky, A. "Numerical analysis of residence time distribution in microchannels." Chemical Engineering Research and Design 89, no. 3 (March 2011): 347–51. http://dx.doi.org/10.1016/j.cherd.2010.06.010.

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26

Iroba, K. L., F. Weigler, J. Mellmann, T. Metzger, and E. Tsotsas. "Residence Time Distribution in Mixed-Flow Grain Dryers." Drying Technology 29, no. 11 (July 11, 2011): 1252–66. http://dx.doi.org/10.1080/07373937.2011.591711.

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27

Patwardhan, Ashwin W. "Prediction of Residence Time Distribution of Stirred Reactors." Industrial & Engineering Chemistry Research 40, no. 24 (November 2001): 5686–95. http://dx.doi.org/10.1021/ie0103198.

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28

Cvengroš, Ján, Viktor Badin, and Štefan Pollák. "Residence time distribution in a wiped liquid film." Chemical Engineering Journal and the Biochemical Engineering Journal 59, no. 3 (November 1995): 259–63. http://dx.doi.org/10.1016/0923-0467(94)02960-1.

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29

Cantu-Perez, Alberto, Shuang Bi, Simon Barrass, Mark Wood, and Asterios Gavriilidis. "Residence time distribution studies in microstructured plate reactors." Applied Thermal Engineering 31, no. 5 (April 2011): 634–39. http://dx.doi.org/10.1016/j.applthermaleng.2010.04.024.

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30

Trachsel, Franz, Axel Günther, Saif Khan, and Klavs F. Jensen. "Measurement of residence time distribution in microfluidic systems." Chemical Engineering Science 60, no. 21 (November 2005): 5729–37. http://dx.doi.org/10.1016/j.ces.2005.04.039.

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31

BOSKOVIC, D., and S. LOEBBECKE. "Modelling of the residence time distribution in micromixers." Chemical Engineering Journal 135 (January 15, 2008): S138—S146. http://dx.doi.org/10.1016/j.cej.2007.07.058.

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32

Haitjema, H. M. "On the residence time distribution in idealized groundwatersheds." Journal of Hydrology 172, no. 1-4 (November 1995): 127–46. http://dx.doi.org/10.1016/0022-1694(95)02732-5.

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33

Gao, Yijie, Aditya Vanarase, Fernando Muzzio, and Marianthi Ierapetritou. "Characterizing continuous powder mixing using residence time distribution." Chemical Engineering Science 66, no. 3 (February 2011): 417–25. http://dx.doi.org/10.1016/j.ces.2010.10.045.

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34

Patrick, Robert H., Theresa Klindera, Lawrence L. Crynes, Ramon L. Cerro, and Martin A. Abraham. "Residence time distribution in three-phase monolith reactor." AIChE Journal 41, no. 3 (March 1995): 649–57. http://dx.doi.org/10.1002/aic.690410321.

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35

Gao, Jun, Gregory C. Walsh, David Bigio, Robert M. Briber, and Mark D. Wetzel. "Residence-time distribution model for twin-screw extruders." AIChE Journal 45, no. 12 (December 1999): 2541–49. http://dx.doi.org/10.1002/aic.690451210.

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36

Dong, Zhengya, Shuainan Zhao, Yuchao Zhang, Chaoqun Yao, Quan Yuan, and Guangwen Chen. "Mixing and residence time distribution in ultrasonic microreactors." AIChE Journal 63, no. 4 (September 23, 2016): 1404–18. http://dx.doi.org/10.1002/aic.15493.

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37

Bošković, D., S. Loebbecke, G. A. Gross, and J. M. Koehler. "Residence Time Distribution Studies in Microfluidic Mixing Structures." Chemical Engineering & Technology 34, no. 3 (February 25, 2011): 361–70. http://dx.doi.org/10.1002/ceat.201000352.

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38

Goodall, C. M., and C. T. O'Connor. "Residence time distribution studies in a flotation column. Part 2: the relationship between solids residence time distribution and metallurgical performance." International Journal of Mineral Processing 36, no. 3-4 (October 1992): 219–28. http://dx.doi.org/10.1016/0301-7516(92)90045-x.

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39

Li, Liang Chao. "CFD Simulation of Gas Residence Time Distribution in Agitated Tank." Advanced Materials Research 732-733 (August 2013): 467–71. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.467.

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Gas residence time is an important parameter for gas-liquid agitated tank. Two approaches, i.e., Euler-Tracer method and CFD-DPM method are proposed for predicting gas residence time distribution (RTD) in an aerated agitated tank by using a Fluent 6.2 software package. The simulation results show that the characteristic of the gas-RTD is a curve with single peak and long tailing. Bubble size, stirring speed and gas inlet flow rate have great effect on gas-RTD in the stirred tank. Small bubbles have wider residence time distribution and stay in the vessel longer than the large bubbles and tend to complete mixing. With increasing of impeller speed or decreasing of gas inlet rate, gas-RTD become wider and have longer average gas residence time, which is in favor of gas effectively utilization.

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40

Baker, Alastair, Alex Fells, Thomas Shaw, Chris J. Maher, and Bruce C. Hanson. "Effect of Scale-Up on Residence Time and Uranium Extraction on Annular Centrifugal Contactors (ACCs)." Separations 10, no. 6 (May 26, 2023): 331. http://dx.doi.org/10.3390/separations10060331.

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This work reports the effect of scaling up annular centrifugal contactors (ACCs) upon the residence time distribution and the efficiency of extraction of uranium. The experiments were carried out in a multi-scale ACC platform of three ACCs with rotor diameters of 12, 25, and 40 mm. To enable direct comparison across all three scales of ACC, the residence time distributions were acquired by injecting dye into the solvent phase at a constant relative volume related to the ACC liquid holdup. Across all scales and flowrates, there was little difference in residence time distribution (<6 residence volumes), except for the smallest 12 mm rotor diameter ACC with a high solvent/aqueous feed ratio, which required 12 residence volumes, potentially due to internal circulation in the annulus. At low flowrates, the stage efficiency in all cases was >95%, and it improved further in larger rotor diameter ACCs.

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41

El_Tokhy, Mohamed S., Ibrahim M. Fayed, Mouldi A. Bedda, and H. Kasban. "Dead Time Correction of Residence Time Distribution through Digital Signal Processing." i-manager's Journal on Digital Signal Processing 3, no. 4 (December 15, 2015): 1–8. http://dx.doi.org/10.26634/jdp.3.4.3705.

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42

Liem, L. E., S. J. Stanley, and Daniel W. Smith. "Residence time distribution analysis as related to the effective contact time." Canadian Journal of Civil Engineering 26, no. 2 (April 1, 1999): 135–44. http://dx.doi.org/10.1139/l98-051.

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Sixteen full-scale tracer studies were completed at two water treatment plants to assess disinfection performance under the concentration-time (CT) concept. The step residence time distribution (F RTD) was developed for each case. The value of the effective contact time, t10, in the CT concept was then obtained. For reservoirs without baffles, the t10 values were found to be much smaller than the expected values, indicating poor performance under the CT concept. Several models were used to interpret the F RTD characteristics, but the results were unsatisfactory. The standard jet model was then applied and was able to match the field data F RTD curve up to the relative concentration c/co [Formula: see text] 0.2. This showed that the momentum causing jet was responsible for the rapid movement of water through the system causing small t10 values. The work shows the importance of the momentum causing jet in reservoirs, and that in addition to traditional criteria it should be considered in the evaluation of water treatment component design. Other models that are commonly used to predict the t10 value should be applied carefully as a result of this jet effect.Key words: tracer study, F RTD, t10, CT concept, jet, water treatment component design.

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43

Tinker, Sarah C., Christine L. Moe, Mitchel Klein, W. Dana Flanders, Jim Uber, Appiah Amirtharajah, Philip Singer, and Paige E. Tolbert. "Drinking water residence time in distribution networks and emergency department visits for gastrointestinal illness in Metro Atlanta, Georgia." Journal of Water and Health 7, no. 2 (February 1, 2009): 332–43. http://dx.doi.org/10.2166/wh.2009.022.

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We examined whether the average water residence time, the time it takes water to travel from the treatment plant to the user, for a zip code was related to the proportion of emergency department (ED) visits for gastrointestinal (GI) illness among residents of that zip code. Individual-level ED data were collected from all hospitals located in the five-county metro Atlanta area from 1993 to 2004. Two of the largest water utilities in the area, together serving 1.7 million people, were considered. People served by these utilities had almost 3 million total ED visits, 164,937 of them for GI illness. The relationship between water residence time and risk for GI illness was assessed using logistic regression, controlling for potential confounding factors, including patient age and markers of socioeconomic status (SES). We observed a modestly increased risk for GI illness for residents of zip codes with the longest water residence times compared with intermediate residence times (odds ratio (OR) for Utility 1 = 1.07, 95% confidence interval (CI)=1.03, 1.10; OR for Utility 2 = 1.05, 95% CI = 1.02, 1.08). The results suggest that drinking water contamination in the distribution system may contribute to the burden of endemic GI illness.

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44

Zhang, Li, Yi Gang Ding, Jun Ji, Chang Yan Yang, and Yuan Xin Wu. "Particle Residence Time Distribution of Collection Zone in Packed Flotation Column." Advanced Materials Research 781-784 (September 2013): 2195–200. http://dx.doi.org/10.4028/www.scientific.net/amr.781-784.2195.

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In order to make a further understanding of flow pattern and back mixing in the flotation process, the study about particle residence time distribution of collection zone in a packed column has been designed. The pulse tracer method was applied and the particle tracers were the mineral gangue in special size class. The residence time distribution curves of our experiment data shows that there are particle back mixings which were caused by fluid flow and geometry factors in the column. The tank-in-series model has a better fitting to the particle residence time distribution in the column according the comparison research between the tank-in-series model and axial dispersion model. The operation parameters have different effects on the particle residence time distribution according to our experimental study.

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45

Canevarolo, S. V., T. J. A. Mélo, J. A. Covas, and O. S. Carneiro. "Direct Method for Deconvoluting Two Residence Time Distribution Curves." International Polymer Processing 16, no. 4 (August 1, 2001): 334–40. http://dx.doi.org/10.1515/ipp-2001-0004.

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Abstract A pair of related Residence Time Distribution (RTD) curves obtained experimentally during extrusion, are deconvoluted using a methodology based on the concept of equivalent residence times. Two points of two RTD curves are equivalent when the same percentage of tracer has exited the system. The time scale of the deconvoluted curve is obtained by subtracting the two equivalent time values of the available RTD curves. The method was tested using simulated pulse-shaped RTD curves and also carrying out measurements on a twin screw extruder. Despite the experimental errors involved, the two tests seem to demonstrate the usefulness of the approach.

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46

GRETE, PATRICK, and MARIO MARKUS. "RESIDENCE TIME DISTRIBUTIONS FOR DOUBLE-SCROLL ATTRACTORS." International Journal of Bifurcation and Chaos 17, no. 03 (March 2007): 1007–15. http://dx.doi.org/10.1142/s0218127407017720.

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We investigated a choice of prototypical double-scroll attractors, namely trajectories resulting from Lorenz equations and from two sets of equations related to Chua's circuits. We found that the probability distribution for the residence times within a given scroll consists of prominent, exponentially decaying peaks. Similar peaks had been reported for stochastically resonant systems, which are driven periodically; however, in view of our results in autonomous systems, the appearance of such peaks has a higher degree of generality. In the systems we investigated, each peak corresponds to a subset of the attractor having a particular number of loops. Moreover, the sets of initial conditions leading to different peaks are interleaved in an analogous way as riddled or intermingled basins of attraction.

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47

Newell, Bob, Jeff Bailey, Ashraful Islam, Lisa Hopkins, and Paul Lant. "Characterising bioreactor mixing with residence time distribution (RTD) tests." Water Science and Technology 37, no. 12 (June 1, 1998): 43–47. http://dx.doi.org/10.2166/wst.1998.0495.

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This paper presents a technique for configuring wastewater process simulations so that the hydraulic characteristics are similar to the real plant. Residence time distribution (RTD) tests are performed on two biological nutrient removal pilot plants. The RTD tests proved valuable for evaluating mixing effectiveness, volume utilisation and for determining an appropriate hydraulic topology for the dynamic models of the pilot plants. As a result of this work, simulation execution times became much faster due to a significant reduction in the number of effective stirred tanks required in the model. The work also identified short circuiting and dead zones in the pilot plants.

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48

Canevarolo, S. V., T. J. A. Mélo, J. A. Cavas, and O. S. Carneiro. "Direct Method for Deconvolving Two Residence Time Distribution Curves." International Polymer Processing 16, no. 4 (December 2001): 334–40. http://dx.doi.org/10.3139/217.1660.

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49

Coblyn, Matthew, Agnieszka Truszkowska, and Goran Jovanovic. "Characterization of microchannel hemodialyzers using residence time distribution analysis." Journal of Flow Chemistry 6, no. 1 (March 2016): 53–61. http://dx.doi.org/10.1556/1846.2015.00041.

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50

BRUCATO, A., V. BRUCATO, and L. RIZZUTI. "RESIDENCE TIME DISTRIBUTION OF SOLID PARTICLES IN STIRRED VESSELS." Chemical Engineering Communications 115, no. 1 (April 1992): 161–81. http://dx.doi.org/10.1080/00986449208936035.

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