Analysis of Gas Production in Overcharged Lithium Battery by X-Ray Computed Tomography

Abstract Overcharge is one of the main factors that lead to thermal runaway of lithium batteries. However, there is no research on the quantitative relationship between overcharged state and gas production, so as to effectively monitor the safe state of the battery and avoid thermal runaway. In this paper, X-ray computed tomography (CT) is proposed to explore the overcharge battery. The internal structure changes of bulge deformation and electrode separation is observed from tomographic images of two different cross-sectional directions. The relationship between gas production and overcharge state of charge (SOC) is quantitatively analyzed. As overcharge SOC increases, gas production increases exponentially. Gas distribution is analyzed by density distribution feature (DDF) vector. The gas production is mainly distributed in the middle of the overcharge batteries. It is envisaged that these techniques can be used to better understand the overcharge of battery nondestructively, visually and effectively, then will lead to avoid the occurrence of thermal runaway.

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Non-invasive investigation of the cross-sectional solids distribution in CFB risers by X-ray computed tomography

Powder Technology ◽

10.1016/j.powtec.2016.04.030 ◽

2016 ◽

Vol 297 ◽

pp. 247-258 ◽

Cited By ~ 7

Author(s):

Timo Hensler ◽

Markus Firsching ◽

Juan Sebastian Gomez Bonilla ◽

Thorsten Wörlein ◽

Norman Uhlmann ◽

...

Keyword(s):

Computed Tomography ◽

Cross Sectional ◽

X Ray ◽

Non Invasive ◽

X Ray Computed ◽

The Cross

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Analysis of inner structure changes of concretes exposed to high temperatures using micro X-ray computed tomography

Acta Geodynamica et Geomaterialia ◽

10.13168/agg.2015.0009 ◽

2015 ◽

pp. 79-89 ◽

Cited By ~ 7

Author(s):

Libor Sitek

Keyword(s):

Computed Tomography ◽

High Temperatures ◽

X Ray ◽

Structure Changes ◽

X Ray Computed

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INVESTIGATION OF POLYMER COMPOSITE MATERIAL SAMPLES BY X-RAY COMPUTED TOMOGRAPHY AND PROCESSING OF TOMOGRAMS WITH THE IMAGE OF THE VOLUME FRACTION OF POROSITY

Proceedings of VIAM ◽

10.18577/2307-6046-2021-0-5-105-113 ◽

2021 ◽

pp. 105-113

Author(s):

A.A. Demidov ◽

◽

O.A. Krupnina ◽

N.A. Mikhaylova ◽

E.I. Kosarina ◽

...

Keyword(s):

Computed Tomography ◽

Polymer Composite ◽

Volume Fraction ◽

Filter Material ◽

Polymer Composite Material ◽

Tomographic Images ◽

X Ray ◽

X Ray Computed ◽

Porosity Volume Fraction

The question of the quality of samples made of polymer composite materials and its verification by x-ray computed tomography is considered. The capabilities of North Star Imaging X5000 tomograph were studied and the samples from PCM were examined for detection and evaluation of the porosity volume fraction. The factors influencing the accuracy of the estimation of the porosity volume fraction are investigated. Namely the size voxel, a filter material, quantity of projections. On the other hand, the size вокселя defines resolution of the digital image, the relation depends on a material of the applied filter a signal/noise, productivity of control worsens with growth of quantity of projections. The choice of optimum values of the listed parametres is necessary for satisfactory quality received tomographic images.

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Two methods of using X-ray Computed Tomography to predict carcass composition in sheep

Proceedings of the British Society of Animal Science ◽

10.1017/s1752756200009534 ◽

2005 ◽

Vol 2005 ◽

pp. 42-42

Author(s):

J. M. Macfarlane ◽

R. M. Lewis ◽

G. C. Emmans ◽

J.M. Young ◽

G. Simm

Keyword(s):

Computed Tomography ◽

Ct Scanning ◽

Carcass Composition ◽

The Body ◽

Anatomical Landmarks ◽

Cross Sectional ◽

X Ray ◽

X Ray Computed ◽

Breed Selection ◽

The Individual

X-ray computed tomography (CT) can be used to accurately assess carcass composition in sheep (Sehested, 1984; Young et al., 2001) both in research and commercially, as part of a breed selection programme. Two different CT scanning methods have been used: a) the reference scan method where tissue weights are predicted from tissue areas in a small set of cross-sectional scans at ‘anatomical landmarks’, and b) the Cavalieri method where a larger number of scans are taken along the body. It is of interest to examine the accuracy of evaluations made using these two methods and the individual merits of the two methods depending on their application.

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Industrial Applications of X-Ray Computed Tomography

Advances in X-ray Analysis ◽

10.1154/s0376030800021893 ◽

1987 ◽

Vol 31 ◽

pp. 99-105 ◽

Cited By ~ 1

Author(s):

P. K. Hunt ◽

P. Engler ◽

W. D. Friedman

Keyword(s):

Computed Tomography ◽

Industrial Applications ◽

Axial Tomography ◽

Cross Sectional ◽

Attenuation Coefficients ◽

X Ray ◽

Minimal Sample ◽

Computerized Axial Tomography ◽

X Ray Computed ◽

Non Destructive

Computed tomography (CT), commonly known as CAT scanning (computerized axial tomography), is a technology that produces an image of the internaI structure of a cross sectional slice through an object via the reconstruction of a matrix of X-ray attenuation coefficients. This non-destructive method is fast (50 ms to 7 min per image depending on the technological generation of the instrument) and requires minimal sample preparation. Images are generated from digital computations, and instruments essentially have a linear response. This allows quantitative estimations of density variations, dimensions and areas directly from console displays.

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Using X-ray-computed Tomography to Nondestructively Determine Maturity of Green Tomatoes

HortScience ◽

10.21273/hortsci.26.1.45 ◽

1991 ◽

Vol 26 (1) ◽

pp. 45-47 ◽

Cited By ~ 35

Author(s):

Jeffrey K. Brecht ◽

Robert L. Shewfelt ◽

Joseph C. Garner ◽

E.W. Tollner

Keyword(s):

Computed Tomography ◽

Tomato Fruit ◽

Maturity Stage ◽

Cross Sectional ◽

X Ray ◽

Significant Relationships ◽

Maturity Class ◽

X Ray Computed ◽

Image Pixels ◽

X Ray Absorption

Cross-sectional X-ray-computed tomography (X-ray CT) images through the equator of tomato fruit (Lycopersicon esculentum Mill., cv. Sunny) ranging in maturity from immature (Ml) to advanced mature green (M4) revealed localized differences in X-ray absorption related to the formation of locular gel during maturation of the fruit. While maturity stage was poorly correlated with average X-ray absorbance and standard deviation or with average fruit density and water content, significant relationships' existed between maturity stage “and the number of image pixels with absorbance values >10 (Ml vs. M2 vs. M3) or 20 (M3 vs. M4) Hounsfield units. Using discriminant analysis, a relationship was developed that correctly identified the maturity class of 77% of the fruit and placed 96% of the tomatoes into the correct or an adjacent class.

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Prediction of total body tissue weights in Scottish Blackface ewes using computed tomography scanning

Animal Science ◽

10.1017/s1357729800053443 ◽

2003 ◽

Vol 76 (2) ◽

pp. 191-197 ◽

Cited By ~ 23

Author(s):

N.R. Lambe ◽

M.J. Young ◽

K.A. McLean ◽

J. Conington ◽

G. Simm

Keyword(s):

Computed Tomography ◽

Lumbar Vertebra ◽

Thoracic Vertebra ◽

Regression Analyses ◽

Cross Sectional ◽

X Ray ◽

Computed Tomography Scanning ◽

X Ray Computed ◽

Total Body ◽

Tomography Scanning

AbstractThirty cull Scottish Blackface ewes were scanned three times over a period of 1 week using X-ray computed tomography (CT). Cross-sectional CT reference scans were taken at seven anatomical sites per ewe: ischium (ISC), femur (FEM), hip (HIP), 5th lumbar vertebra (LV5), 2nd lumbar vertebra (LV2), 8th thoracic vertebra (TV8) and 6th thoracic vertebra (TV6). Ewes were then slaughtered and dissection measurements collected.Results of multiple regression analyses suggested that five reference scans allow accurate prediction of total weights of bone, muscle and fat (carcass and internal). The most informative cross-sectional scans were ISC, HIP, LV5, LV2 and TV8, from which prediction equations were derived. Fat and muscle weights were predicted accurately (R2= 80 to 99%) but bone weight was predicted less accurately (R2= 56%). Repeatabilities were high for the CT measurements used to predict fat and muscle (0•82 to 0•99) but lower for those used to predict bone (0•19 to 0• 86).

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Multifractal analysis of mercury inclusions in quartz by X-ray computed tomography

Nonlinear Processes in Geophysics Discussions ◽

10.5194/npgd-1-1365-2014 ◽

2014 ◽

Vol 1 (2) ◽

pp. 1365-1379

Author(s):

T. Shibata ◽

T. Maruoka ◽

T. Echigo

Keyword(s):

Computed Tomography ◽

Fluid Inclusions ◽

Diffusion Processes ◽

Three Dimensional ◽

Fractal Dimensions ◽

X Rays ◽

Diffusion Limited Aggregation ◽

Cross Sectional ◽

X Ray ◽

X Ray Computed

Abstract. In order to refine our understanding how fluid inclusions were trapped in the host minerals, we non-destructively observed mercury inclusions (liquid Hg0) in quartz samples using X-ray computed tomography (CT) technique. The X-ray CT apparatus can observe internal structures of the samples and give cross-sectional images from the transmission of the X-rays through the samples. From the cross-sectional images, we obtained three-dimensional spatial distributions of mercury inclusions, and quantitatively analyzed them using fractal and multifractal methods. Although the samples were from different mines, the resultant fractal dimensions were about 1.7 for the samples. The fractal dimensions were also close to those predicted by diffusion-limited aggregation models and percolation theory, which are controlled by the irreversible kinetics. Then, the mercury-bearing fluids were not primary fluid inclusions, but migrated into the pre-existing cracks of quartz crystals by diffusion processes.

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