229 research outputs found

    Sweatman, W. L.

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    {Sweatman}, W L

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    Gas adsorption in active carbons and the slit-pore model 2 : mixture adsorption prediction with DFT and IAST

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    We use a fast density functional theory (a 'slab-DFT') and the polydisperse independent ideal slit-pore model to predict gas mixture adsorption in active carbons. The DFT is parametrized by fitting to pure gas isotherms generated by Monte Carlo simulation of adsorption in model graphitic slit-pores. Accurate gas molecular models are used in our Monte Carlo simulations with gas-surface interactions calibrated to a high surface area carbon, rather than a low surface area carbon as in all previous work of this type, as described in part 1 of this work (Sweatman, M. B.; Quirke, N. J. Phys. Chem. B 2005, 109, 10381). We predict the adsorption of binary mixtures of carbon dioxide, methane, and nitrogen on two active carbons up to about 30 bar at near-ambient temperatures. We compare two sets of results; one set obtained using only the pure carbon dioxide adsorption isotherm as input to our pore characterization process, and the other obtained using both pure gas isotherms as input. We also compare these results with ideal adsorbed solution theory (IAST). We find that our methods are at least as accurate as IAST for these relatively simple gas mixtures and have the advantage of much greater versatility. We expect similar results for other active carbons and further performance gains for less ideal mixtures

    Long-term monitoring of the Great Barrier Reef. 261p.

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    H. Sweatman, D. Abdo, S. Burgess, A. Cheal, G. Coleman, S. Delean, M. Emslie, I. Miller, K. Osborne, W. Oxley, C. Page and A. Thompsonhttp://trove.nla.gov.au/work/3491122

    MISG, mines and variability

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    In 2016, a Mathematics-in-Industry Study Group (MISG) project considered the construction of mining sequences, that is, the process connecting ore extraction with specific orders. In particular, the meeting considered the potential for using knowledge about geological variability within the ore. This article revisits this MISG project and the approach developed for thinking about the problem as the build for an order progresses. We provide new perspectives on this approach and outline possible ways for further development. References L. Caccetta and S. P. Hill. An application of branch and cut to open pit mine scheduling. J. Global Opt. 27 (2003), pp. 349–365. doi: 10.1023/A:1024835022186 M. Ibrahimov, A. Mohais, S. Schellenberg, and Z. Michalewicz. Scheduling in iron ore open-pit mining. Int. J. Adv. Man. Tech. 72.5–8 (2014), pp. 1021–1037. doi: 10.1007/s00170-014-5619-8 M. Menabde, G. Froyland, P. Stone, and G. A. Yeates. Mining schedule optimisation for conditionally simulated orebodies. Advances in Applied Strategic Mine Planning. Ed. by R. Dimitrakopoulos. Springer International Publishing, 2018, pp. 91–100. doi: 10.1007/978-3-319-69320-0_8 W. L. Sweatman, K. White, A. Albrecht, M. Peron, P. Pudney, and D. Whittle. Mining sequencing to control blend quality. Proceedings of the 2016 Mathematics and Statistics in Industry Study Group, MISG-2016. Ed. by P. Pudney and A. J. Roberts. Vol. 58. ANZIAM J. 2018, pp. M33–M66. doi: 10.21914/anziamj.v58i0.1247

    Gas adsorption in active carbons and the slit-pore model 1 : pure gas adsorption

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    We describe procedures based on the polydisperse independent ideal slit-pore model, Monte Carlo simulation and density functional theory (a 'slab-DFT') for predicting gas adsorption and adsorption heats in active carbons.A novel feature of this work is the calibration of gas-surface interactions to a high surface area carbon, rather than to a low surface area carbon as in all previous work. Our models are used to predict the adsorption of carbon dioxide, methane, nitrogen, and hydrogen up to 50 bar in several active carbons at a range of near-ambient temperatures based on an analysis of a single 293 K carbon dioxide adsorption isotherm. The results demonstrate that these models are useful for relatively simple gases at near-critical or supercritical temperatures

    Modelling heat transfer in steel coils

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    During annealing, heat transfer within steel coils is complicated by the different conductivity in radial and axial directions due to small air gaps between the steel layers in the radial direction. Here an analytic solution augmented with numerical calculations illustrates some of the fundamental behaviour of the system, including calculations of the time lag. The beneficial effects of additional heating on the curved surfaces are shown. References M. Abramowitz and I. Stegun. Handbook of Mathematical Functions, Dover, New York, 1970. http://mintaka.sdsu.edu/faculty/wfw/ABRAMOWITZ-STEGUN/ G. Chen and M. Gu. Simulation of steel coil heat transfer in a high performance hydrogen furnace. Heat Transf. Eng., 28, 25--30, 2007. doi:10.1080/01457630600985568 M. Cozijnsen and W. Y. D. Yuen. Stress distributions in wound coils. 2nd Biennial Austr. Eng. Math. Conf., 1996, 117--124. http://search.informit.com.au/documentSummary;dn=716511683510327;res=IELENG G.F. Harvey. Mathematical simulation of tight coil annealing. Metallurgical forum 9, Math. Models, 22, 28--37, 1977. R. Hickson, S. I. Barry and G. N. Mercer. Heat transfer across multiple layers. ANZIAM J (E), submitted, 2008. Y. Jaluria. Numerical study of the thermal processes in a furnace. Num. Heat Transf., 7, 211--224, 1984. doi:10.1080/01495728408961820 M. McGuinness, W. L. Sweatman, D. Baowan and S. I. Barry. Annealing Steel Coils. Proc. MISG 2008, in press, 2008. S. S. Sahay, A. M. Kumar and A. Chatterjee. Development of integrated model for batch annealing of cold rolled steel. Ironmaking and Steelmaking, 31, 144--151, 2004. doi:10.1179/030192304225010990 M. R. Sridhar and M. M. Yovanovicht. Review of elastic and plastic contact conductance models: Comparison with experiment. J. Thermophysics Heat Transfer, 8, 633--640, 1994. http://www.aiaa.org/content.cfm?pageid=406&gTable=japaperimportPre97&gID=592 U. O. Stikker. Numerical simulation of the coil annealing process, Math. Models in Metallurgical process development, Iron and Steel Institute, Special report. 123, 104--113, 1970. W. Wu, F. Yu, X. Zhang and Y. Zuo. Mathematical model and its application of radial effective thermal conductivity for coil heat transfer in a HPH furnace. J. Thermal Science 11, 134--137, 2002. doi:10.1007/s11630-002-0033-1 X. Zhang, F. Yu, W. Wu and Y. Zhao. Application of radial effective thermal conductivity for heat transfer model of steel coils in HPH furnace. Int. J. Thermophysics, 24, 1395--1405, 2003. doi:10.1023/A:102611552123

    Jr. Livestock Show

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    Deborah Curfew displays her Reserve Champion Steer she won with at the Jr. Livestock Show. T. W. Sweatman and Elmer Snow of the Vernal Shrine Club purchased the steer to donate to the Shriner\u27s Crippled Children\u27s hospital in Salt Lake

    Modelling gas adsorption in amorphous nanoporous materials

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    This section is about modelling gas adsorption in amorphous nanoporous materials. It is held in the Handbook of theoretical and computational nanotechnology
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