Oluwadamilola O. Taiwo
University College London
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Publication
Featured researches published by Oluwadamilola O. Taiwo.
Advanced Science | 2016
Donal P. Finegan; Erika Tudisco; Mario Scheel; James Robinson; Oluwadamilola O. Taiwo; David Eastwood; Peter D. Lee; Marco Di Michiel; Brian K. Bay; Stephen Hall; Gareth Hinds; Daniel J.L. Brett; Paul R. Shearing
Tracking the dynamic morphology of active materials during operation of lithium batteries is essential for identifying causes of performance loss. Digital volume correlation (DVC) is applied to high‐speed operando synchrotron X‐ray computed tomography of a commercial Li/MnO2 primary battery during discharge. Real‐time electrode material displacement is captured in 3D allowing degradation mechanisms such as delamination of the electrode from the current collector and electrode crack formation to be identified. Continuum DVC of consecutive images during discharge is used to quantify local displacements and strains in 3D throughout discharge, facilitating tracking of the progression of swelling due to lithiation within the electrode material in a commercial, spiral‐wound battery during normal operation. Displacement of the rigid current collector and cell materials contribute to severe electrode detachment and crack formation during discharge, which is monitored by a separate DVC approach. Use of time‐lapse X‐ray computed tomography coupled with DVC is thus demonstrated as an effective diagnostic technique to identify causes of performance loss within commercial lithium batteries; this novel approach is expected to guide the development of more effective commercial cell designs.
Journal of Microscopy | 2016
Oluwadamilola O. Taiwo; Donal P. Finegan; David Eastwood; Julie L. Fife; Leon D. Brown; Jawwad A. Darr; Peter D. Lee; Daniel J.L. Brett; Paul R. Shearing
Lithium‐ion battery performance is intrinsically linked to electrode microstructure. Quantitative measurement of key structural parameters of lithium‐ion battery electrode microstructures will enable optimization as well as motivate systematic numerical studies for the improvement of battery performance. With the rapid development of 3‐D imaging techniques, quantitative assessment of 3‐D microstructures from 2‐D image sections by stereological methods appears outmoded; however, in spite of the proliferation of tomographic imaging techniques, it remains significantly easier to obtain two‐dimensional (2‐D) data sets. In this study, stereological prediction and three‐dimensional (3‐D) analysis techniques for quantitative assessment of key geometric parameters for characterizing battery electrode microstructures are examined and compared. Lithium‐ion battery electrodes were imaged using synchrotron‐based X‐ray tomographic microscopy. For each electrode sample investigated, stereological analysis was performed on reconstructed 2‐D image sections generated from tomographic imaging, whereas direct 3‐D analysis was performed on reconstructed image volumes. The analysis showed that geometric parameter estimation using 2‐D image sections is bound to be associated with ambiguity and that volume‐based 3‐D characterization of nonconvex, irregular and interconnected particles can be used to more accurately quantify spatially‐dependent parameters, such as tortuosity and pore‐phase connectivity.
Journal of Microscopy | 2017
Josh J. Bailey; Thomas M. M. Heenan; Donal P. Finegan; Xuekun Lu; S.R. Daemi; Francesco Iacoviello; Nils R. Backeberg; Oluwadamilola O. Taiwo; Daniel J.L. Brett; Alan Atkinson; Paul R. Shearing
A robust and versatile sample preparation technique for the fabrication of cylindrical pillars for imaging by X‐ray nano‐computed tomography (nano‐CT) is presented. The procedure employs simple, cost‐effective laser micro‐machining coupled with focused‐ion beam (FIB) milling, when required, to yield mechanically robust samples at the micrometre length‐scale to match the field‐of‐view (FOV) for nano‐CT imaging. A variety of energy and geological materials are exhibited as case studies, demonstrating the procedure can be applied to a variety of materials to provide geometrically optimised samples whose size and shape are tailored to the attenuation coefficients of the constituent phases. The procedure can be implemented for the bespoke preparation of pillars for both lab‐ and synchrotron‐based X‐ray nano‐CT investigations of a wide range of samples.
Journal of Synchrotron Radiation | 2014
James Robinson; Leon D. Brown; Rhodri Jervis; Oluwadamilola O. Taiwo; Jason Millichamp; Thomas J. Mason; Tobias P. Neville; David S. Eastwood; Christina Reinhard; Peter D. Lee; Daniel J.L. Brett; Paul R. Shearing
A combined X-ray diffraction and thermal imaging technique is described to investigate the effect of thermal gradients on high-temperature composite materials.
Journal of Physics: Conference Series , 849 (1) 012020. (2017) | 2017
Xuekun Lu; Tao Li; Oluwadamilola O. Taiwo; Josh J. Bailey; Thomas M. M. Heenan; K. Li; Daniel J.L. Brett; Paul R. Shearing
Gas transport properties are closely related to the tortuosity of the pore network within porous materials. For the first time, this study explores a multi-scale imaging and modelling method to measure the tortuosity of an Solid Oxide Fuel Cell (SOFC) electrode material with pore sizes spanning over hundreds of orders of magnitude. This analysis is normally challenging using image-based techniques, as pores of different sizes may not be easily resolved at the same time using X-ray computed tomography (CT). In this study, a tubular SOFC anode, fabricated by a phase inversion technique, is used to illustrate this approach. A heat flux analogy is used to simulate mass transport and the results show that the embedded large-scale finger-like pores can significantly improve mass transport by providing less tortuous pathways.
Faraday Discussions | 2016
Matthew T. Dunstan; Serena Maugeri; Wen Liu; Matthew G. Tucker; Oluwadamilola O. Taiwo; Belén González; Phoebe K. Allan; Michael W. Gaultois; Paul R. Shearing; David A. Keen; Anthony E. Phillips; Martin T. Dove; Stuart A. Scott; John S. Dennis; Clare P. Grey
Carbon capture and storage (CCS) offers a possible solution to curb the CO2 emissions from stationary sources in the coming decades, considering the delays in shifting energy generation to carbon neutral sources such as wind, solar and biomass. The most mature technology for post-combustion capture uses a liquid sorbent, amine scrubbing. However, with the existing technology, a large amount of heat is required for the regeneration of the liquid sorbent, which introduces a substantial energy penalty. The use of alternative sorbents for CO2 capture, such as the CaO-CaCO3 system, has been investigated extensively in recent years. However there are significant problems associated with the use of CaO based sorbents, the most challenging one being the deactivation of the sorbent material. When sorbents such as natural limestone are used, the capture capacity of the solid sorbent can fall by as much as 90 mol% after the first 20 carbonation-regeneration cycles. In this study a variety of techniques were employed to understand better the cause of this deterioration from both a structural and morphological standpoint. X-ray and neutron PDF studies were employed to understand better the local surface and interfacial structures formed upon reaction, finding that after carbonation the surface roughness is decreased for CaO. In situ synchrotron X-ray diffraction studies showed that carbonation with added steam leads to a faster and more complete conversion of CaO than under conditions without steam, as evidenced by the phases seen at different depths within the sample. Finally, in situ X-ray tomography experiments were employed to track the morphological changes in the sorbents during carbonation, observing directly the reduction in porosity and increase in tortuosity of the pore network over multiple calcination reactions.
Chemical Communications | 2015
David S. Eastwood; Paul M. Bayley; Hee Jung Chang; Oluwadamilola O. Taiwo; Joan Vila-Comamala; Daniel J.L. Brett; Christoph Rau; Philip J. Withers; Paul R. Shearing; Clare P. Grey; Peter D. Lee
Journal of Power Sources | 2014
James Robinson; Jawwad A. Darr; David S. Eastwood; Gareth Hinds; Peter D. Lee; Paul R. Shearing; Oluwadamilola O. Taiwo; Daniel J.L. Brett
Nuclear Instruments & Methods in Physics Research Section B-beam Interactions With Materials and Atoms | 2014
David S. Eastwood; Robert S. Bradley; Farid Tariq; Samuel J. Cooper; Oluwadamilola O. Taiwo; Jeff Gelb; A. Merkle; Daniel J.L. Brett; Nigel P. Brandon; Philip J. Withers; Peter D. Lee; Paul R. Shearing
Journal of Power Sources | 2016
Oluwadamilola O. Taiwo; Erika Tudisco; Donal P. Finegan; Paul R. Shearing; Daniel J.L. Brett; Stephen Hall