D.J. Bull
University of Southampton
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Publication
Featured researches published by D.J. Bull.
Polymers & Polymer Composites | 2015
B. Arthurs; D.J. Bull; V. Arumugam; A.R. Chambers; Carlo Santulli
Studies of the combined effects of the presence of porosity (as it may result from partially effective cure cycles) and of low-energy impact damage on the residual properties of CFRP laminates have led so far to controversial results. In particular, it is not clear from the literature whether the presence of voids would blunt crack propagation following impact or rather would promote damage development. These effects would respectively either increase or reduce post-impact residual strength, relative to that of the laminate with virtually no voids, as the result of an optimal manufacturing procedure. With this in mind, different cure cycles have been applied to produce carbon fibre-reinforced polymer (CFRP) composites with various levels of void content, which were subjected to low energy impact damage (3, 4.5 and 6 J) and then to post-impact flexural strength measurement. Damage assessment using micro-focus computed tomography (μCT) was used to complement traditional ultrasonic C-scans, which proved ineffective on the high-porosity samples. Three cure-cycles were investigated: one which led to high porosity (average void content 4 vol%) and two conventional low-porosity cure cycles, only one of which included a post-cure cycle. This study has found that, despite a lower initial flexural strength, higher residual flexural strength was retained after impact in the high-porosity material than in the low-porosity one. This is explained by the lower extent of impact damage observed in the high porosity material, where voids had the effect of suppressing delamination propagation.
Archive | 2018
Rong Jiang; D.J. Bull; Angelos Evangelou; A Harte; Fabrice Pierron; I. Sinclair; G McColvin; P.A.S. Reed
This dataset includes the data presented in the journal paper Strain accumulation and fatigue crack initiation at pores and carbides in a SX superalloy at room temperature.
Microbiology | 2016
Wilmari L. Niehaus; Robert P. Howlin; David A. Johnston; D.J. Bull; Gareth L. Jones; Elizabeth Calton; Mark Mavrogordato; Stuart C. Clarke; Philipp J. Thurner; Saul N. Faust; Paul Stoodley
Bacterial infections of central venous catheters (CVCs) cause much morbidity and mortality, and are usually diagnosed by concordant culture of blood and catheter tip. However, studies suggest that culture often fails to detect biofilm bacteria. This study optimizes X-ray micro-focus computed tomography (X-ray µCT) for the quantification and determination of distribution and heterogeneity of biofilms in in vitro CVC model systems. Bacterial culture and scanning electron microscopy (SEM) were used to detect Staphylococcus epidermidis ATCC 35984 biofilms grown on catheters in vitro in both flow and static biofilm models. Alongside this, X-ray µCT techniques were developed in order to detect biofilms inside CVCs. Various contrast agent stains were evaluated using energy-dispersive X-ray spectroscopy (EDS) to further optimize these methods. Catheter material and biofilm were segmented using a semi-automated matlab script and quantified using the Avizo Fire software package. X-ray µCT was capable of distinguishing between the degree of biofilm formation across different segments of a CVC flow model. EDS screening of single- and dual-compound contrast stains identified 10 nm gold and silver nitrate as the optimum contrast agent for X-ray µCT. This optimized method was then demonstrated to be capable of quantifying biofilms in an in vitro static biofilm formation model, with a strong correlation between biofilm detection via SEM and culture. X-ray µCT has good potential as a direct, non-invasive, non-destructive technology to image biofilms in CVCs, as well as other in vivo medical components in which biofilms accumulate in concealed areas.Bacterial infections of central venous catheters (CVCs) cause much morbidity and mortality, and are usually diagnosed by concordant culture of blood and catheter tip. However, studies suggest that culture often fails to detect biofilm bacteria. This study optimizes X-ray micro-focus computed tomography (X-ray µCT) for the quantification and determination of distribution and heterogeneity of biofilms in in vitro CVC model systems.Bacterial culture and scanning electron microscopy (SEM) were used to detect Staphylococcus epidermidis ATCC 35984 biofilms grown on catheters in vitro in both flow and static biofilm models. Alongside this, X-ray µCT techniques were developed in order to detect biofilms inside CVCs. Various contrast agent stains were evaluated using energy-dispersive X-ray spectroscopy (EDS) to further optimize these methods. Catheter material and biofilm were segmented using a semi-automated matlab script and quantified using the Avizo Fire software package. X-ray µCT was capable of distinguishing between the degree of biofilm formation across different segments of a CVC flow model. EDS screening of single- and dual-compound contrast stains identified 10 nm gold and silver nitrate as the optimum contrast agent for X-ray µCT. This optimized method was then demonstrated to be capable of quantifying biofilms in an in vitro static biofilm formation model, with a strong correlation between biofilm detection via SEM and culture. X-ray µCT has good potential as a direct, non-invasive, non-destructive technology to image biofilms in CVCs, as well as other in vivo medical components in which biofilms accumulate in concealed areas.
Composites Science and Technology | 2013
D.J. Bull; Lukas Helfen; I. Sinclair; S.M. Spearing; Tilo Baumbach
Composites Part A-applied Science and Manufacturing | 2013
D.J. Bull; S.M. Spearing; I. Sinclair; Lukas Helfen
Composites Part A-applied Science and Manufacturing | 2014
D.J. Bull; A.E. Scott; S.M. Spearing; I. Sinclair
Composites Part A-applied Science and Manufacturing | 2015
D.J. Bull; S.M. Spearing; I. Sinclair
Composites Science and Technology | 2014
D.J. Bull; S.M. Spearing; I. Sinclair
Composite Structures | 2016
J. Jefferson Andrew; V. Arumugam; D.J. Bull; Hom Nath Dhakal
Composites Part B-engineering | 2014
R. Suvarna; V. Arumugam; D.J. Bull; A.R. Chambers; C. Santulli