Digital visual simulation for design of mineral and metal recycling processes and of secondary products

被引:5
作者
Williams, R. A. [1 ]
Jia, X. [1 ]
机构
[1] Univ Leeds, Sch Proc Environm & Mat Engn, Inst Particle Sci & Engn, Leeds LS2 9JT, W Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
particle packing; arbitrary shapes; recycling; secondary products; structure-property relationship;
D O I
10.1016/j.mineng.2007.04.018
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The paper presents an overview of a digital approach to enable prediction of the behaviour of complex multi-component three-dimensional components in separation or assembly processes. By digitising the form of individual objects, systems properties (flow, packing, separation) can be simulated to enable optimisation of design of the recycling process. Visual libraries of the components can be established either by direct video capture and suitable three-dimensional transcription or through use of computer aided drawings or some other digital media method. Once in a voxelated format, these component objects can be used within a computational environment in which the real space is divided into a dense array of voxels and in which the simulation (referred to as DigiPac) is performed in a wholly digital environment. A virtue of the method is that properties can be assigned explicitly to individual objects or voxels comprising the object. Further the computational time is reduced, since the entire simulation space is in a digital format. Two hypothetical examples are used to illustrate application of the methods for: flow and separation of ore components employing a digital discrete element method; and the assembly of new products from materials pieces and chards to create a new functional entity. Reverse engineering of such approaches to enable more predictive emulation of processing scenarios for a given user-defined objective is considered. Such methods offer a means of performing realistic calculations on objects that have hitherto been considered too complex to represent. It is believed therefore that the method offer significant technical advantages to those working in this field. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:933 / 938
页数:6
相关论文
共 12 条
[1]  
Baruchel J., 2000, X-ray tomography in material science
[2]   An investigation of packed columns using a digital packing algorithm [J].
Caulkin, R. ;
Fairweather, M. ;
Jia, X. ;
Gopinathan, N. ;
Williams, R. A. .
COMPUTERS & CHEMICAL ENGINEERING, 2006, 30 (6-7) :1178-1188
[3]   DISCRETE NUMERICAL-MODEL FOR GRANULAR ASSEMBLIES [J].
CUNDALL, PA ;
STRACK, ODL .
GEOTECHNIQUE, 1979, 29 (01) :47-65
[4]   Validation of a digital packing algorithm in predicting powder packing densities [J].
Jia, X. ;
Gan, M. ;
Williams, R. A. ;
Rhodes, D. .
POWDER TECHNOLOGY, 2007, 174 (1-2) :10-13
[5]   Modeling complex packing structures and their thermal properties [J].
Jia, X ;
Gopinathan, N ;
Williams, RA .
ADVANCED POWDER TECHNOLOGY, 2002, 13 (01) :55-71
[6]   A packing algorithm for particles of arbitrary shapes [J].
Jia, X ;
Williams, RA .
POWDER TECHNOLOGY, 2001, 120 (03) :175-186
[7]  
Jia X., 2006, DISSOLUT TECHNOL, V13, P11
[8]   Calculation of the T matrix and the scattering matrix for ensembles of spheres [J].
Mackowski, DW ;
Mishchenko, MI .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1996, 13 (11) :2266-2278
[9]  
Munjiza A., 2004, The Combined Finite-Discrete Element Method, DOI DOI 10.1002/0470020180
[10]   An integrated methodology to evaluate permeability from measured microstructures [J].
Selomulya, C. ;
Tran, T. M. ;
Jia, X. ;
Williams, R. A. .
AICHE JOURNAL, 2006, 52 (10) :3394-3400