https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42018 Wed 13 Mar 2024 18:27:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8229 Wed 11 Apr 2018 16:18:40 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13007 Wed 11 Apr 2018 13:42:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10311 Wed 11 Apr 2018 09:27:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48948 Wed 07 Feb 2024 16:34:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37228 Tue 08 Sep 2020 11:20:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26789 Tue 01 May 2018 15:44:52 AEST ]]> 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 ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:56015 Thu 18 Jul 2024 09:14:11 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37068 n = 27 levels is obtained, using n = 3 inverters in cascade and NLM modulation, which generates a flow of power from the load to the inverters (regeneration). In this paper we analyze two types of non-regenerative singlephase asymmetric inverters, of 15 and 27 levels, where their quality of output voltage waveform (THD) and efficiency are analyzed. The latter will be focused on the commutation and conduction losses in the semiconductors. In such a way to be able to make a choice of the inverter considering these two indices. Finally to check what is proposed, simulation results are shown.]]> Thu 13 Aug 2020 12:05:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8970 Sat 24 Mar 2018 08:42:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:9394 Sat 24 Mar 2018 08:39:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12809 Sat 24 Mar 2018 08:17:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21440 Sat 24 Mar 2018 08:05:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21385 Sat 24 Mar 2018 08:05:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16396 Sat 24 Mar 2018 08:00:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:87 Sat 24 Mar 2018 07:42:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44338 Mon 29 Jan 2024 18:50:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27519 Mon 23 Sep 2019 13:57:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32737 Mon 23 Sep 2019 12:03:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49256 Mon 08 May 2023 10:56:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54863 Fri 15 Mar 2024 17:42:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22383 Fri 10 Jul 2020 14:58:00 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40324 Fri 08 Jul 2022 14:08:53 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49708 Fri 02 Jun 2023 12:01:07 AEST ]]>