This [Figures1to17readme.txt] file was generated on [2019-06-27] by [R. Rosario Fernandes, D. Oevermann and D.I. Wilson] ------------------- DESCRIPTION ------------------- Excel spreadsheet containing the data sets used for construction of Figures 1 to 17 of the manuscript. The file '2019_Fernandes_etal_Data.xlsx' is divided in 20 sheets accordingly named. .Figure 1 contain the results for the average velocity of the liquid film [m/s] and for the momentum of the liquid film [N/m] as a function of the radial coordinate r [mm], as calculated from the models proposed in the following works: Bhagat, R.K., Perera, A.M., Wilson, D.I., 2017. Cleaning vessel walls by moving water jets: Simple models and supporting experiments. Food Bioprod. Process. 102, 31–54. https://doi.org/10.1016/j.fbp.2016.11.011 Bhagat, R.K., Wilson, D.I., 2016. Flow in the thin film created by a coherent turbulent water jet impinging on a vertical wall. Chem. Eng. Sci. 152, 606–623. https://doi.org/10.1016/j.ces.2016.06.011 . Figure 2 contains the results for the nondimensional cleaned radius as a function of the nondimensional time for experiments conducted by cleaning a layer of petroleum jelly from a flat surface perpendicular coherent impinging water jet. Two models are presented: the strong soil model, given by Eq. [29], and the weak soil model, given by Eq. [24]. . Figure 4 contains the results for the evolution of the cleaned radius over time for a cleaning experiments perfurmed by cleaning a layer of petroleum jelly from a flat surface perpendicular using a coherent impinging water jet. The values of the rate of increase of the cleaned radius, da/dt are plotted as a function of the momentum of the liquid film in Figure 4(a), and the values of the cleaned radius are plotted as a function of time in Figure 4 (b). .Figure 7 (a) contains an example of the profilometry of the soil layer after cleaning, found by scanning the surface of a plate coated with a layer of petroleum jelly after being impinged by a coherent impinging water jet. .Figure 7 (c) contains the profiles of the crater shown in Figure 7 (a), plotted as the thickness of the soil layer as a function of the distance from the rim. . Figure 8 (a) contains the results obtained through oscillatory rheometry of the petroleum jelly. The Dynamic moduli (??' and ??'') is plotted as a function of time for a low amplitude oscillatory time sweep with constant stress amplitude. . Figure 8 (b) contains the stress and strain amplitudes for the experiment contained in Figure 8 (a). . Figure 9 (a) contains the results for shear rheometry of a petroleum jelly: it shows the evolution of shear rate for creep tests using roughened parallel plates. . Figure 9 (b) contains the results for shear rheometry of a petroleum jelly: it shows the shear stress as a function of shear strain for shear stress ramps conducted with steel and PerspexTM bases. . Figure 10 contains the results for the evolution of the cleaned radius for three repetitions of an experiment with ?? =1 L/min, ??o = 0.37 ± 0.02 mm conducted on PerspexTM and glass plates. The experiments were done by cleaning a layer of petroleum jelly from a flat surface perpendicular using a coherent impinging water jet. . Figure 11 (a) contains results that show the effect of flow rate on cleaning performance. The time derivative of a, da/dt, is presented as a function of ?? for three cleaning experiments: ?? was calculated using Eq. [18]. Error bars represent the propagated uncertainty in da/dt and lines represent the fit of Eq. [32a]. . Figure 11 (b) contains results that show the effect of flow rate on cleaning performance. The evolution of cleaned radius ?? over time for the experiments in Figure 11 (a) are shown in this figure. . Figure 11 (c) contains results that show the effect of flow rate on cleaning performance. The derivatrive da/dt is plotted as a function of the wall shear stress for the experiments in Figure 11 (a). . Figure 12 (a) contains results that summarize the cleaning front shapes. The values of the angles phi_1 and phi_2 are plotted as a function of the values of h/delta_o for several cleaning experiemnts. The values of the angles phi_1 and phi_2 for the asymptotic cases, i.e., for the experiments conducted until the cleaned radius reached its maximum value, are shown as filled symbols. . Figure 12 (b) contains results that describe the angles phi_1 and phi_2 as a function of the values of h/delta_o for one specific cleaning experiment, in which the diameter of the nozzle is 2 mm, the flow rate is 1 L/min and the thickness of the soil layer is 0.37 mm. The values of the angles phi_1 and phi_2 for the asymptotic case, i.e., for the experiment conducted until the cleaned radius reached its maximum value, is shown as a filled symbol. . Figure 13 (a) contains results for the cleaning experiments by a traversing jet. The half-width of the trail generated by a moving jet is shown in nondimensional x-y coordinates. The results of different models (strong soil, weak soil and transition model) are also shown, as well as half-circles that represent the location of the boundary layer transition radius, as described by Bhagat, R.K., Wilson, D.I., 2016. Flow in the thin film created by a coherent turbulent water jet impinging on a vertical wall. Chem. Eng. Sci. 152, 606–623, and the value of a_max observed experimentally. . Figure 13 (b) contains the values of the kinectic constant k' found by fitting the strong and the weak viscoplastic soil models as a function of k' found by fitting the transition model. The dashed line denotes the line of equality. .Figure 14 contains the results that describe the effect of the velocity of the moving nozzle on the values of a_x for moving jet experiments. .Figure 15 contains a summary of the results obtained with the moving jet experiments. In Figure 15 (a), the values of w_c are plotted as a function of the values of a_x. In Figure 15 (b), the values of w_c found by fitting the transition model are plotted as a function of the values of a_x observed experimentally. .Figure 16 (a) contains results that describe the Transition model parameters obtained for different studies of jet cleaning of petroleum jelly. k' and M_y are shown as calculated from results presented in Feldung Damkjær, N., dler-Nissen, J., Jensen, B.B.B., Wilson, D.I., 2017. Flow pattern and cleaning performance of a stationary liquid jet operating at conditions relevant for industrial tank cleaning. Food Bioprod. Process. 101, 145–156. and Glover, H.W., Brass, T., Bhagat, R.K., Davidson, J.F., Pratt, L., Wilson, D.I., 2016. Cleaning of complex soil layers on vertical walls by fixed and moving impinging liquid jets. J. Food Eng. 178, 95–109. The values of k' and M_y were found by fitting the transition model. .Figure 16 (b) contains the results that describe the relationship between a_max and M_y in the form suggested by Eq. [34] (weak soil). The inset shows the trend for strong soil cases (Eq. [33]). .Figure 16 (c) contains results that describe the agreement between a_max estimated with the adhesion model, Eq. [30] and [31], and experimental values. . Figure 16 (d) contains results that describe the agreement between a_max estimated with the transition model, Eq. [33] and [34], and experimental values. .Figure 17 contains results that describe the angles phi_1 and phi_2 measured for the asymptotic cases, with the angle Chi calculated using the wedge model of Glover, H.W., Brass, T., Bhagat, R.K., Davidson, J.F., Pratt, L., Wilson, D.I., 2016. Cleaning of complex soil layers on vertical walls by fixed and moving impinging liquid jets. J. Food Eng. 178, 95–109. ------------------- GENERAL INFORMATION ------------------- i. The file contains data sets for Supplementary Figures 1 to 17 of the paper: Cleaning insoluble viscoplastic soil layers using static and moving coherent impinging water jets. Chemical Engineering Science, DOI 10.1016/j.ces.2019.06.034 ii. Author Information Principal Investigator Contact Information Name: Wilson, D. I Institution: University of Cambridge Address: Department of Chemical Engineering and Biotechnology, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK Email: diw11@cam.ac.uk Associate or Co-investigator Contact Information . Name: Fernandes, R. R. Institution: University of Cambridge Address: Department of Chemical Engineering and Biotechnology, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK . Name: Oevermann, D Institution: TU Dresden Address: Faculty of Mechanical Engineering, Institute of Processing Machines and Mobile Machines, Bergstraße 120, 01062 Dresden, Germany iii. The data reported was obtained by video analysis (Cambridge, UK, 2018 and 2019), of experiments conducted by the authors, by performin rheology measurements in a Malvern Kinexus Lab stress controlled rheometer, and by using a Confocal Thickness Scanner ConfocalDT IFS 2405-3, Micro-Epsilon, Germany. iv. Keywords: Cleaning, impinging jet, viscoplastic fluid, moving jet, modelling v. Funding and acknowledgements: .ERASMUS funding for Dirk Oevermann from the European Union .PhD scholarship for Rubens Rosario Fernandes - CAPES-Brazil; --------------------- DATA & FILE OVERVIEW --------------------- i. The file 'data - supplementary figures S1 to S10.xlsx' is an Excel Spreadsheet, divided in 10 sheets accordingly named as: .Fig 01; .Fig 02; .Fig 04; .Fig 07; .Fig 08; .Fig 09 a; .Fig 09 b; .Fig 10; .Fig 11; .Fig 12 a; .Fig 12 b; .Fig 13 a; .Fig 14; .Fig 15; .Fig 16 a; .Fig 16 b; .Fig 16 c; .Fig 16 d; .Fig 17; --------------------- METHODOLOGIAL INFORMATION --------------------- i. The data in Figure 01 was obtained by calculating the values using the models presented by: Bhagat, R.K., Perera, A.M., Wilson, D.I., 2017. Cleaning vessel walls by moving water jets: Simple models and supporting experiments. Food Bioprod. Process. 102, 31–54. https://doi.org/10.1016/j.fbp.2016.11.011 Bhagat, R.K., Wilson, D.I., 2016. Flow in the thin film created by a coherent turbulent water jet impinging on a vertical wall. Chem. Eng. Sci. 152, 606–623. https://doi.org/10.1016/j.ces.2016.06.011 ii. The data in Figure 02 was obtained by video analysis using an automated script written by the authors in the Matlab platform, to detec the shape of the cleaned region of a petroleum jelly coated in a transpared target plate using a coherent impinging water jet. iii. The data in Figure 04 was obtained by video analysis using an automated script written by the authors in the Matlab platform, to detec the shape of the cleaned region of a petroleum jelly coated in a transpared target plate using a coherent impinging water jet. iv. The data in Figure 07 was obtained by scanning a target plate coated with petroleum jelly that had been previously hit by a coherent impinging water jet, using a Confocal Thickness Scanner ConfocalDT IFS 2405-3, Micro-Epsilon, Germany. v. The data in Figure 08 was obtained by performing an oscillatory sweep with constant stress amplitude over time in a stress controlled rheometer, Malver Kinexus Lab rheometer. vi. The data in Figure 09 (a) was obtained by performing an constant shear stress experiments in a stress controlled rheometer, Malver Kinexus Lab rheometer. The data in Figure 09 (b) was obtained by performing shear stress ramps in a stress controlled rheometer, Malver Kinexus Lab rheometer. vii. The data in Figure 10 was obtained by video analysis using an automated script written by the authors in the Matlab platform, to detec the shape of the cleaned region of a petroleum jelly coated in a transpared target plate using a coherent impinging water jet viii. The data in Figure 11 was obtained by video analysis using an automated script written by the authors in the Matlab platform, to detect the shape of the cleaned region of a petroleum jelly coated in a transpared target plate using a coherent impinging water jet ix. The data in Figure 12 was obtained by scanning target plates coated with petroleum jelly that had been previously hit by coherent impinging water jets, using a Confocal Thickness Scanner ConfocalDT IFS 2405-3, Micro-Epsilon, Germany. x. The data in Figure 13 was obtained by analysing images of experiments consisting in coherent water jets impinging on a transparent plate that was moving with constant upward linear velocity. The images were captured with a digital camera, and the images were analysed using the software ImageJ. xi. The data in Figure 14 was obtained by analysing images of experiments consisting in coherent water jets impinging on a transparent plate that was moving with constant upward linear velocity. The images were captured with a digital camera, and the images were analysed using the software ImageJ. xii. The data in Figure 15 was obtained by analysing images of experiments consisting in coherent water jets impinging on a transparent plate that was moving with constant upward linear velocity. The images were captured with a digital camera, and the images were analysed using the software ImageJ. xii. The data in Figure 16 was obtained by video analysis using an automated script written by the authors in the Matlab platform, to detect the shape of the cleaned region of a petroleum jelly coated in transpared target plates using a coherent impinging water jets. xii. The data in Figure 17 was obtained by scanning target plates coated with petroleum jelly that had been previously hit by coherent impinging water jets, using a Confocal Thickness Scanner ConfocalDT IFS 2405-3, Micro-Epsilon, Germany. iii. To open the data sets, please use Microsoft Excel - version 2007 and later, or using one of the following software and websites: . Kingsoft Spreadsheets; . OpenOffice Calc; . LibreOffice Calc. . Google Sheets; . Microsoft Excel Online; . Zoho Docs.