https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 A technical review on coke rate and quality in low-carbon blast furnace ironmaking https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50307 Wed 13 Mar 2024 07:46:41 AEDT ]]> The effect of combinations of iron-bearing minerals and quartz on coke reactivity https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36073 Wed 05 Feb 2020 11:14:06 AEDT ]]> Tribological testing of metallurgical coke: coefficient of friction and relation to coal properties https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35584 Wed 04 Sep 2019 15:23:47 AEST ]]> HRTEM analysis of carbon structure evolution during the formation of metallurgical coke and impacts on coke quality https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54357 Tue 20 Feb 2024 16:26:02 AEDT ]]> Connectivity aware simulated annealing kernel methods for coke microstructure generation https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52083 A vital input for steel manufacture is a coal-derived solid fuel called coke. Digital reconstructions and simulations of coke are valuable tools to analyse and test coke properties. We implement biased voxel iteration into a simulated annealing method via a kernel convolution to reduce the number of iterations required to generate a digital coke microstructure. We demonstrate that voxel connectivity assumptions impact the number of iterations and reduce the normalised computation time required to generate a digital microstructure by as much as 70%. References L. De Floriani, U. Fugacci, and F. Iuricich. Homological shape analysis through discrete morse theory. Perspectives in Shape Analysis. Ed. by M. Breuss, A. Bruckstein, P. Maragos, and S. Wuhrer. Springer, 2016, pp. 187–209. doi: 10.1007/978-3-319-24726-7_9 M. A. Diez, R. Alvarez, and C. Barriocanal. Coal for metallurgical coke production: predictions of coke quality and future requirements for cokemaking. Int. J. Coal Geol. 50.1–4 (2002), pp. 389–412. doi: 10.1016/S0166-5162(02)00123-4 D. T. Fullwood, S. R. Kalidindi, S. R. Niezgoda, A. Fast, and N. Hampson. Gradient-based microstructure reconstructions from distributions using fast Fourier transforms. Mat. Sci. Eng. A 494.1–2 (2008), pp. 68–72. doi: 10.1016/j.msea.2007.10.087 E.-Y. Guo, N. Chawla, T. Jing, S. Torquato, and Y. Jiao. Accurate modeling and reconstruction of three-dimensional percolating filamentary microstructures from two-dimensional micrographs via dilation-erosion method. Mat. Character. 89 (2014), pp. 33–42. doi: 10.1016/j.matchar.2013.12.011 Y. Jiao, F. H. Stillinger, and S. Torquato. Modeling heterogeneous materials via two-point correlation functions: Basic principles. Phys. Rev. E 76.3, 031110 (2007). doi: 10.1103/PhysRevE.76.031110 H. Kumar, C. L. Briant, and W. A. Curtin. Using microstructure reconstruction to model mechanical behavior in complex microstructures. Mech. Mat. 38.8–10 (2006), pp. 818–832. doi: 10.1016/j.mechmat.2005.06.030 Z. Ma and S. Torquato. Generation and structural characterization of Debye random media. Phys. Rev. E 102.4, 043310 (2020). doi: 10.1103/PhysRevE.102.043310 F. Meng, S. Gupta, D. French, P. Koshy, C. Sorrell, and Y. Shen. Characterization of microstructure and strength of coke particles and their dependence on coal properties. Powder Tech. 320 (2017), pp. 249–256. doi: 10.1016/j.powtec.2017.07.046 M. G. Rozman and M. Utz. Uniqueness of reconstruction of multiphase morphologies from two-point correlation functions. Phys. Rev. Lett. 89.13, 135501 (2002). doi: 10.1103/PhysRevLett.89.135501 T. Tang, Q. Teng, X. He, and D. Luo. A pixel selection rule based on the number of different-phase neighbours for the simulated annealing reconstruction of sandstone microstructure. J. Microscopy 234.3 (2009), pp. 262–268. doi: 10.1111/j.1365-2818.2009.03173.x S. Torquato. Microstructure characterization and bulk properties of disordered two-phase media. J. Stat. Phys. 45.5 (1986), pp. 843–873. doi: 10.1007/BF01020577 S. Torquato and H. W. Haslach Jr. Random heterogeneous materials: microstructure and macroscopic properties. Appl. Mech. Rev. 55.4 (2002), B62–B63. doi: 10.1115/1.1483342 S. Torquato and C. L. Y. Yeong. Reconstructing random media.II: three-dimensional media from two-dimensional cuts. Phys. Rev. E 58.1 (1998), pp. 224–233. doi: 10.1103/PhysRevE.58.224 on p. C128). C. L. Y. Yeong and S. Torquato. Reconstructing random media. Phys. Rev. E 57.1, 495 (1998). doi: 10.1103/PhysRevE.57.495 ]]> Thu 28 Sep 2023 14:21:37 AEST ]]> Tribological approach to investigate the interface properties in metallurgical coke https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31254 Sat 24 Mar 2018 08:43:58 AEDT ]]> A coke analogue for the study of the effects of minerals on coke reactivity https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18032 Sat 24 Mar 2018 07:56:32 AEDT ]]> Fractographic approach to metallurgical coke failure analysis. Part 1: cokes of single coal origin https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30272 Sat 24 Mar 2018 07:33:32 AEDT ]]> Fractographic approach to metallurgical coke failure analysis. Part 2: cokes from binary coal blends https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26587 Sat 24 Mar 2018 07:26:12 AEDT ]]> Effect of mineral matter on the reactivity of coke and its replication in a coke analogue https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23808 Sat 24 Mar 2018 07:12:51 AEDT ]]> Uniaxial compression of metallurgical coke samples with progressive loading https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37465 Mon 11 Jan 2021 16:16:20 AEDT ]]>