Investigation of 3 D geometry of bulk wheat and pea pores using X-ray computed tomography images

Quantitative characterization of pore topology inside grain bulks is necessary to predict the air traverse time and the cooling or fumigation pattern for the design of storage management strategies. Quantification of 3D microarchitecture of the inter-granular airspace in the grain bulks can also contribute to the development of predictive models of insect movement and for designing acoustic systems for insect infestation detection. In this study, inter-connected 3D array of void spaces was characterized by geometrical quantities such as specific surface area, pore throat size and nodal pore volume. These features were obtained from a 13.1 cm × 13.1 cm × 5 cm volume of wheat and pea bulks. The grain bulks were imaged using a high resolution X-ray computed tomography system at 200 m resolution. The spatial distributions were computed based on 3D medial axis analysis of the void space in the images using 3DMA-Rock software and a high performance Polaris computer. The other features calculated were medial axis tortuosity, throat surface area and porosity from the

[1]  K. Rajagopal,et al.  On the propagation of waves through porous solids , 2005 .

[2]  W. E. Muir,et al.  Airflow resistance of wheat and barley affected by airflow direction, filling method and dockage , 1986 .

[3]  Digvir S. Jayas,et al.  Airflow pressure drop relationships of some specialty seeds , 1990 .

[4]  Digvir S. Jayas,et al.  CALCULATION AND LIMITATIONS OF TRAVERSE TIME IN DESIGNING FORCED VENTILATION SYSTEMS , 2004 .

[5]  Blunt,et al.  Macroscopic parameters from simulations of pore scale flow. , 1990, Physical review. A, Atomic, molecular, and optical physics.

[6]  Alkiviades C. Payatakes,et al.  Steady-state two-phase flow through planar and nonplanar model porous media , 1994 .

[7]  Schwartz,et al.  Transport properties of disordered continuum systems. , 1989, Physical review. B, Condensed matter.

[8]  Rangasami L. Kashyap,et al.  Building Skeleton Models via 3-D Medial Surface/Axis Thinning Algorithms , 1994, CVGIP Graph. Model. Image Process..

[9]  A. Venkatarangan,et al.  Investigating 3 D Geometry of Porous Media from High Resolution Images , 1998 .

[10]  Michael A. Celia,et al.  Recent advances in pore scale models for multiphase flow in porous media , 1995 .

[11]  Michael A. Celia,et al.  A Functional Relationship Between Capillary Pressure, Saturation, and Interfacial Area as Revealed by a Pore‐Scale Network Model , 1996 .

[12]  Gerard van Dalen,et al.  3-D Imaging of Foods Using X-Ray Microtomography , 2003 .

[13]  S. Nakashima.  DIFFUSIVITY OF IONS IN PORE WATER AS A QUANTITATIVE BASIS FOR ROCK DEFORMATION RATE ESTIMATES , 1995 .

[14]  Richard A. Robb,et al.  Evaluation of thresholding techniques for segmenting scaffold images in tissue engineering , 2004, SPIE Medical Imaging.

[15]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[16]  D. Jayas,et al.  Movement of Tribolium castaneum (Coleoptera: Tenebrionidae) Adults in Response to Temperature Gradients in Vertical and Horizontal Wheat and Corn Columns , 2005, Journal of Economic Entomology.

[17]  Son Tran,et al.  Efficient 3D binary image skeletonization , 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

[18]  W. Brent Lindquist,et al.  Image Thresholding by Indicator Kriging , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Mark A. Knackstedt,et al.  Effect of Network Topology on Relative Permeability , 2004 .

[20]  Robert Hickling,et al.  Studies of sound transmission in various types of stored grain for acoustic detection of insects , 1997 .

[21]  Jørgen Nielsen,et al.  Pressures from flowing granular solids in silos , 1998, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[22]  W. B. Lindquist,et al.  3D image-based characterization of fluid displacement in a Berea core , 2007 .