Study of the structural behaviour and analytical characterization of wire-race slewing bearings

309 p.La presente tesis doctoral tiene como objetivo presentar los últimos avances en el campo de los rodamientos de vuelco con pista de rodadura alámbrica (wire-race bearings). Debido a la escasa literatura científica disponible para este tipo de rodamientos, la investigación se ha centrado principalmente en entender su comportamiento estructural, identificar los fenómenos físicos que aparecen bajo carga y desarrollar herramientas de cálculo analíticas y numéricas. Estas labores tienen como propósito sentar las bases científicas de estos componentes y promover futuras líneas de investigación.En el ámbito más específico, las herramientas de cálculo propuestas tienen un valor industrial remarcable. Los modelos analíticos desarrollados para rodamientos de bolas y de rodillos cruzados son excelentes herramientas de cálculo que proporcionan la respuesta de los rodamientos bajo carga con un coste computacional casi inexistente. Para cálculos más en detalle o con geometrías complejas, se proponen estrategias de modelado eficiente mediante Elementos Finitos (EF) que también permiten realizar cálculos precisos con reducido coste computacional

Recent tendencies in the use of optimization techniques in geotechnics:a review

The use of optimization methods in geotechnics dates back to the 1950s. They were used in slope stability analysis (Bishop) and evolved to a wide range of applications in ground engineering. We present here a non-exhaustive review of recent publications that relate to the use of different optimization techniques in geotechnical engineering. Metaheuristic methods are present in almost all the problems in geotechnics that deal with optimization. In a number of cases, they are used as single techniques, in others in combination with other approaches, and in a number of situations as hybrids. Different results are discussed showing the advantages and issues of the techniques used. Computational time is one of the issues, as well as the assumptions those methods are based on. The article can be read as an update regarding the recent tendencies in the use of optimization techniques in geotechnics

Bridging Single-Particle Characterisation Gaps of Optical Microscopy in the Nano-Submicron Regime

As the practical importance of particles in the nano-submicron size regime continues to increase in both biomedical applications and industrial processes, so does the need for accurate and versatile characterisation methods. Optical scattering microscopy methods are commonly used for single-particle characterisation as they provide quick measurements at physiologically relevant conditions with detection limits reaching down to individual biomolecules. However, quantitative particle characterisation using optical microscopy often rely on assumptions about the surrounding media and theparticle, including solution viscosity, boundary conditions, as well as particle shape and material. Since these assumptions are difficult to evaluate, particle characterisation beyond hydrodynamic radius and/or mass remains challenging.The aim of this thesis is to contribute to bridging the gaps that limit quantitative optical microscopy-based characterisation of individual particles in the nano-submicron regime by both developing new and improving existing microscopy methods. Specifically, in Paper I a method was developed to evaluate the relation between diffusivity and particle size to enable measurements of the hydrodynamic boundary condition. Papers II-V are based around the development of holographic nanoparticle tracking (H-NTA) and extensions thereof, with the intent of using the complex-valued optical field for material sensitive particle characterisation with minimal dependence on the surrounding media. In Paper II, H-NTA by itself was used to characterise suspensions containing nanobubbles and molecular aggregates. In Paper III, the combination of H-NTA with deep learning was used to achieve simultaneous quantification of size and refractive index directly from single microscopy images, which allowed detection of reversible fluctuations in nanoparticle aggregates. In Paper IV, H-NTA augmented with a low frequency attenuation filter, coined twilight holography, was used to investigate the interaction between herpes viruses and functionalised gold nanoparticles in terms of size, bound gold mass, and virus refractive index. In Paper V, the combination of twilight holography and interferometric scattering microscopy (iSCAT) was used to quantify both size and polarizability of individual nanoparticles without the need of detailed knowledge about the surrounding media. Taken together, the presented results in this thesis provide both new insights into heterogenous nanoparticle systems and contributes to narrowing the gap for detailed optical particle characterisation

The effect of the mesh refinement on a multiscale domain decomposition method for the non-linear simulation of composite structures

This article is focused on the study of a micro-macro LaTIn based Domain Decomposition Method (LaTIn-DDM) for the prediction of the nonlinear behavior of slender composite structures subjected to bending, buckling and delamination. Previous studies have shown that an adequate selection of the iterative parameters (search directions and macroscopic space) allow to improve the convergence rate and ensure scalability (i.e. number of iterations is independent of the number of subdomains) of the iterative schema. To obtain precise solutions, only the size reduction of the subdomains' discretization has been addressed (h-refinement), disregarding the option of increasing the polynomial degree of the finite elements (p-refinement) and ignoring their underlying effects on the information's transmission through the interfaces between subdomains. In this work and using linear and quadratic finite elements, h and p refinements on the subdomains and local h-refinement only along the edges of the subdomains were investigated. It is conclude that the prefinement in the whole subdomain not only enables to reach more exact solutions than using global or local h-refinement, but also the convergence rate is improved. These enhancements allow more complex simulations but using less degrees of freedom and less calculation time, even up to 97% faster.Peer Reviewe

Automation and Control Architecture for Hybrid Pipeline Robots

The aim of this research project, towards the automation of the Hybrid Pipeline Robot (HPR), is the development of a control architecture and strategy, based on reconfiguration of the control strategy for speed-controlled pipeline operations and self-recovering action, while performing energy and time management. The HPR is a turbine powered pipeline device where the flow energy is converted to mechanical energy for traction of the crawler vehicle. Thus, the device is flow dependent, compromising the autonomy, and the range of tasks it can perform. The control strategy proposes pipeline operations supervised by a speed control, while optimizing the energy, solved as a multi-objective optimization problem. The states of robot cruising and self recovering, are controlled by solving a neuro-dynamic programming algorithm for energy and time optimization, The robust operation of the robot includes a self-recovering state either after completion of the mission, or as a result of failures leading to the loss of the robot inside the pipeline, and to guaranteeing the HPR autonomy and operations even under adverse pipeline conditions Two of the proposed models, system identification and tracking system, based on Artificial Neural Networks, have been simulated with trial data. Despite the satisfactory results, it is necessary to measure a full set of robot’s parameters for simulating the complete control strategy. To solve the problem, an instrumentation system, consisting on a set of probes and a signal conditioning board, was designed and developed, customized for the HPR’s mechanical and environmental constraints. As a result, the contribution of this research project to the Hybrid Pipeline Robot is to add the capabilities of energy management, for improving the vehicle autonomy, increasing the distances the device can travel inside the pipelines; the speed control for broadening the range of operations; and the self-recovery capability for improving the reliability of the device in pipeline operations, lowering the risk of potential loss of the robot inside the pipeline, causing the degradation of pipeline performance. All that means the pipeline robot can target new market sectors that before were prohibitive

Practical guide to single-protein AFM nanomechanical spectroscopy mapping: insights and pitfalls as unraveled by all-atom MD simulations on immunoglobulin G

Atomic force microscopy is an invaluable characterization tool in almost every biophysics laboratory. However, obtaining atomic/sub-nanometer resolution on single proteins has thus far remained elusive - a feat long achieved on hard substrates. In this regard, nanomechanical spectroscopy mapping may provide a viable approach to overcome this limitation. By complementing topography with mechanical properties measured locally, one may thus enhance spatial resolution at the single-protein level. In this work, we perform all-atom molecular dynamics simulations of the indentation process on a single immunoglobulin G (IgG) adsorbed on a graphene slab. Our simulations reveal three different stages as a function of strain: a noncontact regime - where the mechanical response is linked to the presence of the water environment - followed by an elastic response and a final plastic deformation regime. In the noncontact regime, we are able to identify hydrophobic/hydrophilic patches over the protein. This regime provides the most local mechanical information that allows one to discern different regions with similar height/topography and leads to the best spatial resolution. In the elastic regime, we conclude that the Young modulus is a well-defined property only within mechanically decoupled domains. This is caused by the fact that the elastic deformation is associated with a global reorganization of the domain. Differences in the mechanical response are large enough to clearly resolve domains within a single protein, such as the three subunits forming the IgG. Two events, unfolding or protein slipping, are observed in the plastic regime. Our simulations allow us to characterize these two processes and to provide a strategy to identify them in the force curves. Finally, we elaborate on possible challenges that could hamper the interpretation of such experiments/simulations and how to overcome them. All in all, our simulations provide a detailed picture of nanomechanical spectroscopy mapping on single proteins, showing its potential and the challenges that need to be overcome to unlock its full potentialJ.G.V. acknowledges funding from a Marie Sklodowska-Curie Fellowship within the Horizon 2020 framework (Grant No. DLV-795286) and the Swiss National Science Foundation (Grant No. CRSK-2 190731/1). R.P. acknowledges support from the Spanish MINECO (Grant No. MAT2017-83273-R) and from the Ministerio de Ciencia e Innovación (MICINN) through the “María de Maeztu” Programme for Units of Excellence in R&D (Grant No. CEX2018-000805-M). R.G. acknowledges funding from the MICINN (Grant No. PID2019-106801GB-I00) and Comunidad de Madrid Grant No. S2018/NMT-4443 (Tec4Bio-CM). We thankfully acknowledge the computer resources, technical expertise, and assistance provided by the Red Española de Supercomputación (RES) at the Minotauro and CTE-Power9 supercomputers (BSC, Barcelona). We thank Dr. Alejandro Martín-González for fruitful discussion

Predicción del desgaste de moldes de inyección de plástico y aluminio

219 p.En esta tesis doctoral se han abordado los principales mecanismos de desgaste que aparecen en los moldes de inyección de plástico y aluminio. Ambos consisten en inyectar a alta temperatura, presión y velocidad un fluido (plástico y aluminio respectivamente), en un molde cuya cavidad da forma a la pieza final tras el proceso de solidificación. Este molde tiene que aguantar cientos de miles de ciclos en este entorno agresivo, lo cual lleva a limitar la vida del molde debido al desgaste que sufren estos, requiriendo reparaciones y paradas de producción inesperadas. La formación del desgaste de los moldes se genera debido a distintos mecanismos de desgaste. Algunos de estos mecanismos son comunes para ambos casos de procesos de producción estudiados, como la erosión y la corrosión. Mientras, otros son específicos, como la abrasión en la inyección de plástico y la adhesión del aluminio (die soldering) y la fatiga térmica en la inyección de aluminio. A lo largo de esta Tesis doctoral se describe la metodología seguida para generar unos modelos de predicción de desgaste de estos mecanismos de desgaste de moldes a partir de la experimentación de laboratorio realizada

Capillary Microfluidic Chips for Point-of-Care Testing:from Research Tools to Decentralized Medical Diagnostics

Research on microfluidic devices for biological analysis has progressed sufficiently to be developed into point-of-care diagnostics products. The goal of this thesis is to improve multiple aspects of capillary-driven microfluidic devices. In particular, the objective is to provide devices with a fast time to result, that are simple to use (one-step), that can be portable, that accept a variety of samples, that operate reliably, that provide a range of detection signals, that are mass manufacturable at lost cost, and that are able to detect medically relevant biological molecules. First, we survey the evolution of microfluidic research into portable medical diagnostic devices. By looking at several gaps and opportunities in current medical diagnostics, we provide an overview of research topics that have the potential to shape the next generation of point-of-care diagnostics. Specifically we explain technologies in the order of sample interacting with different components of a device. We investigate the materials, surface treatments, sample processing, microfluidic elements (such as valves, pumps and mixers), receptors and analytes and the integration of these components into a device that might conceivably leave the laboratory for the hands of consumers. The knowledge of what is important in a point-of-care diagnostics device was used to develop a proof of concept. One of the main challenges is to make microfluidics easy to use by incorporating reagents and microfluidic elements. We integrated a number of functional elements on a chip such as a sample collector, delay valves, flow resistors, a deposition zone for detection antibodies (dAbs), a reaction chamber sealed with a polydimethylsiloxane (PDMS) substrate, and a capillary pump and vents. We further incorporated capture antibodies (cAbs), detection antibodies (dAbs) and analyte molecules for making one-step immunoassays. The integrated microfluidic chip requires only the addition of sample to trigger a sequence of events controlled by capillary forces to detect C-reactive protein (CRP), a general inflammation and cardiac marker, at a concentration of 1 ng mL-1 within 14 min using only 5 µL of human serum. The proof-of-concept is extended to easily modify several assay parameters such as the flow rates and the volumes of samples for tests, and the type of reagents and receptors for analytes. The multiparametric microfluidic chip is capable of analyzing 20 µL of human serum in 6 parallel flow paths in a range of flow rates with filling times from 10 minutes to 72 minutes. The asymmetric release of dAbs in a stream of human serum is compensated by a Dean flow mixer. Sample is equally split into 6 reaction chambers connected to flow resistances that vary flow rates, and the kinetics of capture of analyte-dAb complexes. The increased incubation time leads to a fourfold increase in detection signal in the reaction chamber with the longer incubation time. Furthermore, integrating reagents and controlling their release is essential for simple and accurate point-of-care diagnostic devices. We developed reagent integrators (RIs) to release small amounts of dried reagents (ng quantities and less) into microliters of sample. Typical RIs are composed of an inlet splitting into a central reagent channel, with a high hydraulic resistance, and two diluter channels. Reagents spotted in the central channel reconstitute in sample during filling and merge at the end of the RI with a dilution factor corresponding to the relative hydraulic resistance of the channels forming the RI. RIs are simple to integrate in lateral flow assays and provide a great degree of control over reagent integration and dissolution. Finally, the one-step capillary-driven microfluidic chips have the ability to not only detect a variety of proteins, but also to detect nucleic acids for molecular diagnostics. These devices, especially if manufactured in low cost plastic and used with portable fluorescence readers, have the potential to identify a wide variety of health conditions and to enable truly decentralized medical diagnostics

Silica and Silicon Based Nanostructures

Silica and silicon-based nanostructures are now well-understood materials for which the technologies are mature. The most obvious applications, such as electronic devices, have been widely explored over the last two decades. The aim of this Special Issue is to bring together the state of the art in the field and to enable the emergence of new ideas and concepts for silicon and silica-based nanostructures