Lattice Boltzmann method for flow and heat transfer in microgeometries

Recent technological developments have made it possible to design various microdevices where fluid flow and heat transfer are involved. For the proper design of such systems, the governing physics needs to be investigated. Due to the difficulty to study complex geometries in micro scales using experimental techniques, computational tools are developed to analyze and simulate flow and heat transfer in microgeometries. However, conventional numerical methods using the Navier-Stokes equations fail to predict some aspects of microflows such as nonlinear pressure distribution, increase mass flow rate, slip flow and temperature jump at the solid boundaries. This necessitates the development of new computational methods which depend on the kinetic theory that are both accurate and computationally efficient. In this study, lattice Boltzmann method (LBM) was used to investigate the flow and heat transfer in micro sized geometries. The LBM depends on the Boltzmann equation which is valid in the whole rarefaction regime that can be observed in micro flows. Results were obtained for isothermal channel flows at Knudsen numbers higher than 0.01 at different pressure ratios. LBM solutions for micro-Couette and micro-Poiseuille flow were found to be in good agreement with the analytical solutions valid in the slip flow regime (0.01 < Kn < 0.1) and direct simulation Monte Carlo solutions that are valid in the transition regime (0.1 < Kn < 10) for pressure distribution and velocity field. The isothermal LBM was further extended to simulate flows including heat transfer. The method was first validated for continuum channel flows with and without constrictions by comparing the thermal LBM results against accurate solutions obtained from analytical equations and finite element method. Finally, the capability of thermal LBM was improved by adding the effect of rarefaction and the method was used to analyze the behavior of gas flow in microchannels. The major finding of this research is that, the newly developed particle-based method described here can be used as an alternative numerical tool in order to study non-continuum effects observed in micro-electro-mechanical-systems (MEMS).

Lattice Boltzmann Method for Flow and Heat Transfer in Microgeometries

Recent technological developments have made it possible to design various microdevices where fluid flow and heat transfer are involved. For the proper design of such systems, the governing physics needs to be investigated. Due to the difficulty to study complex geometries in micro scales using experimental techniques, computational tools are developed to analyze and simulate flow and heat transfer in microgeometries. However, conventional numerical methods using the Navier-Stokes equations fail to predict some aspects of microflows such as nonlinear pressure distribution, increase mass flow rate, slip flow and temperature jump at the solid boundaries. This necessitates the development of new computational methods which depend on the kinetic theory that are both accurate and computationally efficient. In this study, lattice Boltzmann method (LBM) was used to investigate the flow and heat transfer in micro sized geometries. The LBM depends on the Boltzmann equation which is valid in the whole rarefaction regime that can be observed in micro flows. Results were obtained for isothermal channel flows at Knudsen numbers higher than 0.01 at different pressure ratios. LBM solutions for micro-Couette and micro-Poiseuille flow were found to be in good agreement with the analytical solutions valid in the slip flow regime (0.01 < Kn < 0.1) and direct simulation Monte Carlo solutions that are valid in the transition regime (0.1 < Kn < 10) for pressure distribution and velocity field. The isothermal LBM was further extended to simulate flows including heat transfer. The method was first validated for continuum channel flows with and without constrictions by comparing the thermal LBM results against accurate solutions obtained from analytical equations and finite element method. Finally, the capability of thermal LBM was improved by adding the effect of rarefaction and the method was used to analyze the behavior of gas flow in microchannels. The major finding of this research is that, the newly developed particle-based method described here can be used as an alternative numerical tool in order to study non-continuum effects observed in micro-electro-mechanical-systems (MEMS).

Drying kinetic analysis of municipal solid waste using modified page model and pattern search method

This work studied the drying kinetics of the organic fractions of municipal solid waste (MSW) samples with different initial moisture contents and presented a new method for determination of drying kinetic parameters. A series of drying experiments at different temperatures were performed by using a thermogravimetric technique. Based on the modified Page drying model and the general pattern search method, a new drying kinetic method was developed using multiple isothermal drying curves simultaneously. The new method fitted the experimental data more accurately than the traditional method. Drying kinetic behaviors under extrapolated conditions were also predicted and validated. The new method indicated that the drying activation energies for the samples with initial moisture contents of 31.1 and 17.2 % on wet basis were 25.97 and 24.73 kJ mol−1. These results are useful for drying process simulation and industrial dryer design. This new method can be also applied to determine the drying parameters of other materials with high reliability.

Non-equilibrium induction of tin in germanium: towards direct bandgap Ge1-xSnx nanowires

The development of non-equilibrium group IV nanoscale alloys is critical to achieving new functionalities, such as the formation of a direct bandgap in a conventional indirect bandgap elemental semiconductor. Here, we describe the fabrication of uniform diameter, direct bandgap Ge1-xSnx alloy nanowires, with a Sn incorporation up to 9.2[thinsp]at.%, far in excess of the equilibrium solubility of Sn in bulk Ge, through a conventional catalytic bottom-up growth paradigm using noble metal and metal alloy catalysts. Metal alloy catalysts permitted a greater inclusion of Sn in Ge nanowires compared with conventional Au catalysts, when used during vapour-liquid-solid growth. The addition of an annealing step close to the Ge-Sn eutectic temperature (230[thinsp][deg]C) during cool-down, further facilitated the excessive dissolution of Sn in the nanowires. Sn was distributed throughout the Ge nanowire lattice with no metallic Sn segregation or precipitation at the surface or within the bulk of the nanowires. The non-equilibrium incorporation of Sn into the Ge nanowires can be understood in terms of a kinetic trapping model for impurity incorporation at the triple-phase boundary during growth.

Isolation and structural determination of non-racemic tertiary cathinone derivatives

The racemic tertiary cathinones N,N-dimethylcathinone (1), N,N-diethylcathinone (2) and 2-(1-pyrrolidinyl)-propiophenone (3) have been prepared in reasonable yield and characterized using NMR and mass spectroscopy. HPLC indicates that these compounds are isolated as the anticipated racemic mixture. These can then be co-crystallized with (+)-O,O′-di-p-toluoyl-d-tartaric, (+)-O,O′-dibenzoyl-d-tartaric and (-)-O,O′-dibenzoyl-l-tartaric acids giving the single enantiomers S and R respectively of 1, 2 and 3, in the presence of sodium hydroxide through a dynamic kinetic resolution. X-ray structural determination confirmed the enantioselectivity. The free amines could be obtained following basification and extraction. In methanol these are reasonably stable for the period of several hours, and their identity was confirmed by HPLC and CD spectroscopy.

Bioanalytical applications of microfluidic devices

The first part of the thesis describes a new patterning technique--microfluidic contact printing--that combines several of the desirable aspects of microcontact printing and microfluidic patterning and addresses some of their important limitations through the integration of a track-etched polycarbonate (PCTE) membrane. Using this technique, biomolecules (e.g., peptides, polysaccharides, and proteins) were printed in high fidelity on a receptor modified polyacrylamide hydrogel substrate. The patterns obtained can be controlled through modifications of channel design and secondary programming via selective membrane wetting. The protocols support the printing of multiple reagents without registration steps and fast recycle times. The second part describes a non-enzymatic, isothermal method to discriminate single nucleotide polymorphisms (SNPs). SNP discrimination using alkaline dehybridization has long been neglected because the pH range in which thermodynamic discrimination can be done is quite narrow. We found, however, that SNPs can be discriminated by the kinetic differences exhibited in the dehybridization of PM and MM DNA duplexes in an alkaline solution using fluorescence microscopy. We combined this method with multifunctional encoded hydrogel particle array (fabricated by stop-flow lithography) to achieve fast kinetics and high versatility. This approach may serve as an effective alternative to temperature-based method for analyzing unamplified genomic DNA in point-of-care diagnostic.

L’analyse biomécanique du sprint sur ergomètre non-motorisé : interaction entre les asymétries cinétiques et cinématiques lors d’un sprint de 40 verges

Au sprint 100 mètres et dans de nombreux sport de puissance, la phase d’accélération est un déterminant majeure de la performance. Toutefois, les asymétries cinétiques et cinématiques peuvent avoir une incidence sur la performance. L’objectif de cette étude était d’identifier la présence d’interaction entre différentes variables cinétiques et cinématiques angulaires aux membres inférieures (MI) d’un sprint de haute intensité sur un ergomètre non-motorisé avec résistance (NMR). Suite à une rencontre de familiarisation, 11 sujets ont exécuté des sprints de 40 verges. Les données cinétiques ont été obtenues par l’entremise de plateformes de force intégrées aux appuis de l’ergomètre NMR à 10 Hz et les données cinématiques ont été amassées à l’aide du système Optitrack et du logiciel Motive Tracker à 120Hz. Nous avons effectué un test de corrélation linéaire (Corrélation linéaire de Pearson) pour déterminer la relation entre les données cinétiques et cinématiques (p < 0,05). L’analyse des données a révélée (1) une corrélation positive entre la moyenne d’amplitude articulaire à la cheville et la moyenne des pics de puissance développés (W/kg) lors de la phase de maintien (r = 0,62), (2) une corrélation négative entre l’extension maximale moyenne (calculé à partir de l’angle de flexion le plus petit) à la hanche et la moyenne de pics de puissance développées en fin de poussée lors de la totalité et de la phase de maintien (r = -0,63 et r = -0,69 respectivement), et finalement (3) une corrélation négative entre la différence de dorsiflexion maximale à la cheville et la différence des pics de puissance développés aux MI lors du contact du pied au sol en phase de maintien ( r = -0,62). Les résultats obtenus dans cette étude permettront d’améliorer l’intervention des préparateurs physiques et la pratique des athlètes de sport de puissance en plus d’aider au développant de nouvelles technologies et outils d’entrainement complémentaire au sprint et particulièrement à la phase d’accélération.

L’analyse biomécanique du sprint sur ergomètre non-motorisé : interaction entre les asymétries cinétiques et cinématiques lors d’un sprint de 40 verges

Au sprint 100 mètres et dans de nombreux sport de puissance, la phase d’accélération est un déterminant majeure de la performance. Toutefois, les asymétries cinétiques et cinématiques peuvent avoir une incidence sur la performance. L’objectif de cette étude était d’identifier la présence d’interaction entre différentes variables cinétiques et cinématiques angulaires aux membres inférieures (MI) d’un sprint de haute intensité sur un ergomètre non-motorisé avec résistance (NMR). Suite à une rencontre de familiarisation, 11 sujets ont exécuté des sprints de 40 verges. Les données cinétiques ont été obtenues par l’entremise de plateformes de force intégrées aux appuis de l’ergomètre NMR à 10 Hz et les données cinématiques ont été amassées à l’aide du système Optitrack et du logiciel Motive Tracker à 120Hz. Nous avons effectué un test de corrélation linéaire (Corrélation linéaire de Pearson) pour déterminer la relation entre les données cinétiques et cinématiques (p < 0,05). L’analyse des données a révélée (1) une corrélation positive entre la moyenne d’amplitude articulaire à la cheville et la moyenne des pics de puissance développés (W/kg) lors de la phase de maintien (r = 0,62), (2) une corrélation négative entre l’extension maximale moyenne (calculé à partir de l’angle de flexion le plus petit) à la hanche et la moyenne de pics de puissance développées en fin de poussée lors de la totalité et de la phase de maintien (r = -0,63 et r = -0,69 respectivement), et finalement (3) une corrélation négative entre la différence de dorsiflexion maximale à la cheville et la différence des pics de puissance développés aux MI lors du contact du pied au sol en phase de maintien ( r = -0,62). Les résultats obtenus dans cette étude permettront d’améliorer l’intervention des préparateurs physiques et la pratique des athlètes de sport de puissance en plus d’aider au développant de nouvelles technologies et outils d’entrainement complémentaire au sprint et particulièrement à la phase d’accélération.

Correcting for bias when estimating the cost of hospital-acquired infection : an analysis of lower respiratory tract infections in non-surgical patients

Hospital acquired infections (HAI) are costly but many are avoidable. Evaluating prevention programmes requires data on their costs and benefits. Estimating the actual costs of HAI (a measure of the cost savings due to prevention) is difficult as HAI changes cost by extending patient length of stay, yet, length of stay is a major risk factor for HAI. This endogeneity bias can confound attempts to measure accurately the cost of HAI. We propose a two-stage instrumental variables estimation strategy that explicitly controls for the endogeneity between risk of HAI and length of stay. We find that a 10% reduction in ex ante risk of HAI results in an expected savings of £693 ($US 984).