S.A. Rolland
Swansea University
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Featured researches published by S.A. Rolland.
Archive | 2008
P. Brewin; O. Coube; David T. Gethin; H. Hodgson; S.A. Rolland
This chapter gives examples of the successful use of compaction modelling (CM) by industry. The examples complement those for the parmaceutical industry in Chapter 14 and have been selected to illustrate the use of CM in solving common industry problems.
Journal of Biomechanical Engineering-transactions of The Asme | 2016
Kenny Low; Raoul van Loon; S.A. Rolland; Johann Sienz
This paper reviews and further develops pore-scale computational flow modeling techniques used for creeping flow through orthotropic fiber bundles used in blood oxygenators. Porous model significantly reduces geometrical complexity by taking a homogenization approach to model the fiber bundles. This significantly simplifies meshing and can avoid large time-consuming simulations. Analytical relationships between permeability and porosity exist for Newtonian flow through regular arrangements of fibers and are commonly used in macroscale porous models by introducing a Darcy viscous term in the flow momentum equations. To this extent, verification of analytical Newtonian permeability-porosity relationships has been conducted for parallel and transverse flow through square and staggered arrangements of fibers. Similar procedures are then used to determine the permeability-porosity relationship for non-Newtonian blood. The results demonstrate that modeling non-Newtonian shear-thinning fluids in porous media can be performed via a generalized Darcy equation with a porous medium viscosity decomposed into a constant term and a directional expression through least squares fitting. This concept is then investigated for various non-Newtonian blood viscosity models. The proposed methodology is conducted with two different porous model approaches, homogeneous and heterogeneous, and validated against a high-fidelity model. The results of the heterogeneous porous model approach yield improved pressure and velocity distribution which highlights the importance of wall effects.
Journal of Biomechanical Engineering-transactions of The Asme | 2017
Kenny Low; Raoul van Loon; S.A. Rolland; Johann Sienz
This paper numerically investigates non-Newtonian blood flow with oxygen and carbon dioxide transport across and along an array of uniformly square and staggered arranged fibers at various porosity (ε) levels, focussing on a low Reynolds number regime (Re < 10). The objective is to establish suitable mass transfer correlations, expressed in the form of Sherwood number (Sh = f(ε, Re, Sc)), that identifies the link from local mass transfer investigations to full-device analyses. The development of a concentration field is initially investigated and expressions are established covering the range from a typical deoxygenated condition up to a full oxygenated condition. An important step is identified where a cut-off point in those expressions is required to avoid any under- or over-estimation on the Sherwood number. Geometrical features of a typical commercial blood oxygenator is adopted and results in general show that a balance in pressure drop, shear stress, and mass transfer is required to avoid potential blood trauma or clotting formation. Different definitions of mass transfer correlations are found for oxygen/carbon dioxide, parallel/transverse flow, and square/staggered configurations, respectively. From this set of correlations, it is found that transverse flow has better gas transfer than parallel flow which is consistent with reported literature. The mass transfer dependency on fiber configuration is observed to be pronounced at low porosity. This approach provides an initial platform when one is looking to improve the mass transfer performance in a blood oxygenator without the need to conduct any numerical simulations or experiments.
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering | 2010
S.A. Rolland; David T. Gethin; Roland W. Lewis; J. H. Tweed
Abstract This article addresses the occurrence of crack-related failure within the powder compaction cycle. Both tensile and shear cracks are considered together with the challenges associated with their detection. Experimental data are presented from the compaction of multi-level parts pressed from DistaloyAE powder to green densities between 6 and 7 g/cm3. This is compared with process simulation results. Both point to compact fragility and that failure is reflected in a dilation mechanism. This is contrary to expectation where a shear-type failure was expected. Simulation of the compaction and ejection of a plain cylinder were also undertaken. This highlighted the impact of punch hold down and how it may be used to achieve part integrity through control of stress excursion within the compact. The final part of the article describes, for the first time, the integration of a failure risk model within compaction simulation. As a proof of concept, this was demonstrated to highlight high-risk areas for failure within the compaction cycle.
Medical Engineering & Physics | 2017
C. D’Onofrio; R. van Loon; S.A. Rolland; Richard Johnston; L. North; S.G.R. Brown; R. Phillips; Johann Sienz
Cardiopulmonary bypass procedures are one of the most common operations and blood oxygenators are the centre piece for the heart-lung machines. Blood oxygenators have been tested as entire devices but intricate details on the flow field inside the oxygenators remain unknown. In this study, a novel method is presented to analyse the flow field inside oxygenators based on micro Computed Tomography (μCT) scans. Two Hollow Fibre Membrane (HFM) oxygenator prototypes were scanned and three-dimensional full scale models that capture the device-specific fibre distributions are set up for computational fluid dynamics analysis. The blood flow through the oxygenator is modelled as a non-Newtonian fluid. The results were compared against the flow solution through an ideal fibre distribution and show the importance of a uniform distribution of fibres and that the oxygenators analysed are not susceptible to flow directionality as mass flow versus area remain the same. However the pressure drop across the oxygenator is dependent on flow rate and direction. By comparing residence time of blood against the time frame to fully saturate blood with oxygen we highlight the potential of this method as design optimisation tool. In conclusion, image-based reconstruction is found to be a feasible route to assess oxygenator performance through flow modelling. It offers the possibility to review a product as manufactured rather than as designed, which is a valuable insight as a precursor to the approval processes. Finally, the flow analysis presented may be extended, at computational cost, to include species transport in further studies.
Powder Metallurgy | 2011
S.A. Rolland; David T. Gethin; Roland W. Lewis; J. H. Tweed
Abstract Numerical simulations of manufacturing processes rely on material characterisation. This highlights the need for a close combination of experimental and numerical work to model cold die powder compaction. Based on a previous experimental work by the authors, this document shows how the data collected can be used to formulate a constitutive model reflecting the material behaviour in a broad range of conditions. A plasticity model based on pressure and deviatoric stress was chosen. Particular attention was given to the definition of the yield properties under low pressure levels. This choice was motivated by the previous review of experimental techniques for powder characterisation and, in contrast with popular models which focus on the behaviour of the powder in conditions close to idealised frictionless uniaxial compaction, the updated model achieves a very good agreement with out of die tests for two different materials while retaining a single equation formulation for the yield surface.
Applied Energy | 2013
S.A. Rolland; W. Newton; A.J. Williams; T.N. Croft; David T. Gethin; M. Cross
Applied Energy | 2013
S.A. Rolland; M. Thatcher; W. Newton; A.J. Williams; T.N. Croft; David T. Gethin; M. Cross
Powder Technology | 2012
S.A. Rolland; P. Mosbah; David T. Gethin; R.W. Lewis
Powder Technology | 2016
J.S. Thompson; Oubay Hassan; S.A. Rolland; Johann Sienz