The goal of this thesis is to develop a soft multiple-degree-of-freedom (multi-DOF) load cell that is robust and light weight for use in robotics applications to sense three axes of force and a single axis of torque. The displacement of the magnet within the elastomer changes the magnetic flux density which is sensed by two 3-axis Hall effect sensors. Experimental measurements of magnetic flux density within the area of interest were used to formulate analytic expressions that relate magnet field strength to the position of the magnet. The displacement and orientation measurement and the material properties of the elastomer are used to calibrate and calculate the applied load. The ability to measure 3-DOF force and axial torque was evaluated with combined loading applied by a robotic arm (KUKA, LBR r820 iiwa). The decoupled results show the 4-DOF load cell was able to distinguish 3-axis force and 1-axis torque with 6.9% averaged error for normal force, 4.3% and 2.6% for shear force in the X and Y axis and 8.6% for the torque. The results show good accuracy for a soft multi-axis sensor that would be applicable in many robotic applications where high accuracy is not required.

När ett ställdon får som krav att kunna överföra höga krafter i relativt höga hastigheter med en dessutom väldigt hög precision är elektromekaniska ställdon oftast att föredra. En traditionell pinjong-kuggstång-uppställning uppfyller vissa av de kraven, men om kraften ska ökas behövs det fler än ett pinjongpar. Begränsningar på tillverkningsprecisionen för dessa kugghjul gör att deras ansättning på kuggstången blir omöjlig för uppsättningar med fyra eller åtta pinjongpar eftersom ett sådant ställdon blir statiskt överbestämt och på grund av tillverkningstoleranser kan det bli svårt att erhålla jämn lastfördelning mellan pinjongerna. Därför utvecklade företaget Cascade Drives innovativa kugghjul (cdGear) med s.k. Flex Units som har en självinställningsfunktion i själva kugghjulen vilken tillgodogör för tillverkningstoleranser och spelet som ska undvikas. Flex Units består av bl.a. av gummielement som förutom att tillåta enstaka pinjongers rotation för inställning även har en mycket bra dämpningsförmåga, särskilt vad det gäller plötsliga stötlaster. Stötbelastningar förekommer ofta vid drift av arbetsmaskiner där Cascade Drives-ställdonet har hittat sin största användning. Plötsliga och höga stötbelastningar, som t.ex. när en grävmaskin kör in i ett gupp eller en snöröjare kör på en kantsten kan påverka maskinkomponenternas livslängd betydligt. Ett eventuellt maskinhaveri riskerar skador på både fordonet, föraren och omgivningen. Rapporten redogör för hur en teoretisk modell byggdes upp för att matematiskt beskriva dessa stötbelastningar och metoder som användes i datorprogrammet MATLAB för att beskriva det dynamiska förloppet i ställdonet under stötbelastningens inverkan. Ytterligare redogörs avgränsningar som görs på modellen och tills slut ges förslag på möjliga förbättringar för vidare arbete med modellen. Projektets syfte är inte att utvärdera hela Cascade Drives-ställdonet utan endast skapa en modell som kan tillämpas på alla möjliga scenarion av stötmoment. Rapporten innehåller några exempel på stötbelastningar och redogör för hur de påverkar olika kugghjul som ingår i ställdonet och hur det påverkar maskinen i sin helhet. För de scenarion som MATLAB-koden testades för noteras en mycket god dämpningsförmåga även vid förhållandevis höga laster (flera ton av last). Detta tack vore de patenterade flexenheterna och gummikutsarna, som kan dimensioneras och väljas för material beroende på tillämpningsområde och det tillåtna monteringsutrymmet i ställdonet. Denna modell baseras på dimensioner och materialdata tillförda av uppdragsgivaren för det aktuella ställdonet. Mer noggranna värden och en bättre kännedom om tillämpningsområdet skulle ge möjligheter för omdimensionering av flexenheterna och en mer optimal dämpnings- och momentöverföringsfunktion i ställdonet. / When requirements for an actuator include big momentum, fast transfer of the forces with a very high positioning precision, electro-mechanical actuators are often the constructor's first choice. A traditional rack-pinion setup answers to some of the requirements, but if the goal is to increase the forces which the rack undergoes, more than one pair of pinions is necessary. Production limitations, inevitable tolerances and gaps as a result make it almost impossible to have setups of four or eight pinion-pairs on one single rack because a such actuator would be statically overdetermined and out of manufacturing costs it can be difficult to procure equal load distribution between the pinions. Overcoming this challenge helped the company called Cascade Drives based in Stockholm, Sweden, to patent a new type of gear they call cdGear. CdGear give pinion the ability to position itself to the rack automatically, due to the rubber parts inside the gear that also work as shock load-absorbers for the whole actuator. Shock loads are very frequent in the type of work where these actuators found their biggest application. Heavy-duty machines are often exposed to sudden and high loads on their moving parts, i.e. when an excavator drives over a bump or a snow-plowing machine drives into a curbstone. The sudden impact on the working parts will cause a greater stress on the equipment, shorten its lifespan and a machine part's failure can even cause serious damage on workers, machine, and the environment. This thesis describes a theoretical model created for the purpose of calculating the effects of shock loads on the actuator based on the mathematical description of gear behaviour during the impact. It also includes the methods used to create a model in MATLAB that simulates the dynamical forces, model's limitations, and suggestions on how to improve its accuracy. This project does not aim to improve the overall performance of the Cascade Drives-actuator, but rather deliver a sufficient virtual model that works for the most shock load scenarios, that in the end will give the commissioner useful data and clues on how to improve their product. The thesis does include a few different shock load scenarios that prove the code's functionality and give answers to how some shock loads affect gears inside the actuator and performance of the machine itself. For the virtual tests done Cascade Drives-actuator performs very good in damping the shock loads, even when the loads reach a corresponding force of a few tons. CdGear and elasticity inside its rubber parts are the main reason why the actuator performs so well, and the rubber parts inside the gear can be changed in respect to the application and the mounting space allowed. The model described in the report includes dimensions and material's data provided by the commissioner for the actuator in question. More exact and relevant results can be acquired if the input values are more precise, and the area of usage is described in more detail. More optimal rubber parts inside the CdGear would result in a better performing actuator that besides being able to transfer huge torque also could absorb the inevitable shock loads in a very satisfactory manner.

Ultrasound waves are mechanical undulations above the threshold for human hearing, and have been used widely in both the human body and brain for diagnostic and therapeutic purposes. Ultrasound can be controlled using specially designed transducers into a focus of a few millimeters in diameter. Low intensity ultrasound, such as used in imaging applications, appears to be safe in adults. It is also known that ultrasound waves can penetrate through the skull and be focused within the brain for ablation purposes, employing the heat generation properties of high intensity focused ultrasound. High intensity focused ultrasound is thus used to irreversibly ablate brain tissue in localized areas without observable damage to intermediate tissue and vasculature. Ablation with high intensity focused ultrasound guided by magnetic resonance imaging is used for abolishing brain tumors, and experimentally for pain. Low intensity ultrasound can be utilized beyond imaging in neuroscience and neurology by focusing the ultrasound beam to investigate the structure and function of discrete brain circuits. In contrast to high intensity focused ultrasound, the effects of low intensity focused ultrasound on neurons are reversible. Considering the volume of work on high intensity focused ultrasound, low intensity focused ultrasound remains decidedly underdeveloped. Given the great potential for impact of low intensity focused ultrasound in both clinical and scientific neuromodulation applications, we sought to advance the use of low intensity focused ultrasound for noninvasive, transcranial neuromodulation of human cortex. This dissertation contains novel research on the use of low intensity transcranial focused ultrasound for noninvasive neuromodulation of human cortex. The importance of mechanical forces in the nervous system is highlighted throughout to expand beyond the stigma that nervous function is governed chiefly by electrical and chemical means. Methods of transcranial focused ultrasound are applied to significantly modulate human cortical function, shown using electroencephalographic recordings and behavioral investigations of sensory discrimination performance. This dissertation also describes computational models used to investigate the insertion behavior of ultrasound across various tissues in the context of transcranial neuromodulation, as ultrasound's application for neuromodulation is relatively new and crudely understood. These investigations are critical for the refinement of device design and the overall advancement of ultrasound methods for noninvasive neuromodulation. / Ph. D.

Les capteurs résonants de type M/NEMS sont largement utilisés dans l’environnement biologique pour la mesure de masse de biomolécules en raison de leur grande précision combinée à une taille réduite. Classiquement, la détection et la quantification se basent sur le décalage fréquentiel induit par la masse ajoutée. Toutefois, ce décalage devient très faible et difficile à distinguer du bruit de mesure lorsque les masses considérées sont très petites. Il est théoriquement possible de gagner encore un ou plusieurs ordres de grandeur en résolution avec ces méthodes fréquentielles en diminuant encore les tailles et/ou en augmentant le rapport signal sur bruit, c’est-à-dire en actionnant de manière plus importante les résonateurs. Mais, dans ces conditions, les nanorésonateurs ont un comportement très fortement non-linéaire, source d’instabilités et de mixage de bruit basses et hautes fréquences susceptibles de dégrader la fiabilité et la précision des mesures. C’est pourquoi cette thèse a pour objectif de définir des principes de détection alternatifs basés sur l’exploitation des phénomènes non-linéaires, tels que les comportements hystérétiques et les bifurcations des courbes de réponse en fréquence. Pour cela, un modèle réduit de micro/nano-poutre résonante avec actionnement électrostatique est considéré. Les résultats numériques montrent que les brusques sauts d’amplitude à proximité des points de bifurcation permettent la détection de masses très faibles. Contrairement à la détection fréquentielle, ces sauts sont d’autant plus grands que la masse additionnelle est petite, ce qui rend cette technique particulièrement intéressante. De plus, le seuil de détection peut être ajusté avec la valeur de la fréquence de fonctionnement. Un mécanisme de réinitialisation est toutefois indispensable pour rendre la détection à nouveau possible après un saut d’amplitude. Afin d’automatiser la réinitialisation et ainsi permettre la détection en temps réel, un concept totalement innovant de détection de masse par balayage en fréquence des cycles d’hystérésis est proposé, qui permet de détecter, quantifier et localiser la masse ajoutée sur la poutre résonante. La mise en réseau de plusieurs poutres résonantes est également traitée et constitue un premier pas vers la mise en oeuvre de réseaux de milliers de capteurs. Pour cela, des architectures efficaces sont proposées et les modèles numériques sont adaptés en conséquence. Sur des configurations symétriques, l’exploitation des bifurcations de type brisure de symétrie permet là-encore d’améliorer la détection de masse. / Resonant M/NEMS mass sensors are widely used in biological environment for measuring the mass of biomolecules due to their high accuracy combined with a reduced size. Usually, the detection and the quantification are based on the frequency shift induced by an added mass. However, this shift becomes very small and difficult to distinguish from the noise of measurement as the considered masses are tiny. It is theoretically possible to increase further one or several orders of magnitude in resolution with these frequency methods by further reducing size and/or by increasing the signal-to-noise ratio, that is to say by operating more importantly the resonators. But in these conditions, the nanoresonators have a strongly nonlinear behavior, a source of instability and noise mix of low and high frequencies likely to degrade the reliability and the accuracy of measurements. Therefore, the thesis’s objective is to define alternative principles of detection based on exploiting the nonlinear phenomena, such as the hysteretic behavior and the bifurcations of frequency-response curves. To this end, a reduced model of resonant micro/nano-beam with electrostatic actuation is considered. The numerical results show that the sudden jumps in amplitude close to bifurcation points allow the detection of very small masses. Unlike the frequency detection, the smaller the added mass, the larger the increase of the jump, which makes this technique particularly interesting. In addition, the detection threshold can be adjusted with the value of the operating frequency. However, a mechanism of reinitialization is mandatory to make the detection possible again after a jump in amplitude. In order to automate the reinitialization and allow the detection in real-time, a completely innovative concept of mass detection by the frequency sweep of the hysteretic cycles is proposed to detect, quantify and locate the added mass on the resonant beam. An array of several resonant beams is also considered and constitutes a first step toward the implementation of arrays of thousands of sensors. Efficient architectures are proposed for this purpose and the numerical models are adapted accordingly. On symmetric configurations, exploiting the bifurcations of symmetry-breaking type allows here again to improve the mass detection.

The goal of this dissertation consists of improving the efficiency of energy harvesting using pyroelectric and piezoelectric materials in a system by the proper characterization of electrical parameters, widening frequency, and coupling of both effects with the appropriate parameters. A new simple stand-alone method of characterizing the impedance of a pyroelectric cell has been demonstrated. This method utilizes a Pyroelectric single pole low pass filter technique, PSLPF. Utilizing the properties of a PSLPF, where a known input voltage is applied and capacitance Cp and resistance Rp can be calculated at a frequency of 1 mHz to 1 Hz. This method demonstrates that for pyroelectric materials the impedance depends on two major factors: average working temperature, and the heating rate. Design and implementation of a hybrid approach using multiple piezoelectric cantilevers is presented. This is done to achieve mechanical and electrical tuning, along with bandwidth widening. In addition, a hybrid tuning technique with an improved adjusting capacitor method was applied. An toroid inductor of 700 mH is shunted in to the load resistance and shunt capacitance. Results show an extended frequency range up to 12 resonance frequencies (300% improvement) with improved power up to 197%. Finally, a hybrid piezoelectric and pyroelectric system is designed and tested. Using a voltage doubler, circuit for rectifying and collecting pyroelectric and piezoelectric voltages individually is proposed. The investigation showed that the hybrid energy is possible using the voltage doubler circuit from two independent sources for pyroelectrictity and piezoelectricity due to marked differences of optimal performance.

The goal of this work was to compensate for the effects of the Earth’s magnetic field in a vector field magnetic sensor. The magnetic sensor is a part of a low-cost crash avoidance system by Stephane Roussel where the magnetic sensor was used to detect cars passing when it was mounted to a test vehicle. However, the magnetic sensor’s output voltage varied when it changed orientation with respect to the Earth’s magnetic field. This limited the previous work to only analyze detection rates when the test vehicle travelled a single heading. Since one of the goals of this system is to be low-cost, the proposed solution for geomagnetic compensation will only use a single magnetic sensor and a consumer-grade GPS. Other solutions exist for geomagnetic compensation but use extra sensors and can become costly. In order to progress the development of this project into a commercial project, three separate geomagnetic compensation algorithms and a calibration procedure were developed. The calibration procedure compensated for the local magnetic field when the magnetic sensor was mounted to the test vehicle and allowed for consistent magnetic sensor voltage output regardless of the type of test vehicle. The first algorithm, Compensation Scheme 1 (CS1), characterized the local geomagnetic field with a mathematical function from field calibration data. The GPS heading was used as the input and the output is the voltage level of the Earth’s magnetic field. The second algorithm, Compensation Scheme 1.5, used a mathematical model of the Earth’s magnetic field using the International Geomagnetic Reference Field. An algorithm was developed to take GPS coordinates as an input and output the voltage contributed by the mathematical representation of the Earth’s magnetic field. The output voltages from CS1 and CS1.5 were subtracted from the calibrated magnetic sensor data. The third algorithm, Compensation Scheme 2 (CS2), used a high pass filter to compensate for changes of orientation of the magnetic sensor. All three algorithms were successful in compensating for the geomagnetic field and vehicle detection in multiple car headings was possible. Since the goal of the magnetic sensor is to detect vehicles, vehicle detection rates were used to evaluate the effectiveness of the algorithms. The individual algorithms had limitations when used to detect passing cars. Through testing, it was found that CS1 and CS1.5 algorithms were suitable to detect vehicles while stopped in traffic while the CS2 algorithm was suitable vehicle detection while the test vehicle is moving. In order to compensate for the limitations of the individual algorithms, a fused algorithm was developed that used a combination of CS1 and CS2 or CS1.5 and CS2. The vehicle speed was used in order to determine which algorithm to use in order to detect cars. Although the goal of this project is not vehicle detection, the rate of successful vehicle detection was used in order to evaluate the algorithms. The evaluation of the fused algorithm demonstrated the value of using CS1 and CS1.5 to detect vehicles when stopped in traffic, which CS2 algorithm cannot do. For a study conducted in traffic, using the fused algorithm increased vehicle detection rates by 51%-62% from using the CS2 algorithm alone. Since this work successfully compensated for geomagnetic effects of the magnetic sensor, the low-cost crash avoidance system can be further developed since it is no longer limited to driving in a single direction. Other projects that experience unwanted geomagnetic effects in their projects can also implement the knowledge and solutions used in this work.

Mechanical durability of the structures should be continuously monitored during their operation. Structural health monitoring (SHM) techniques are typically used for gathering the information which can be used for evaluating the current condition of a structure regarding the existence, location, and severity of the damage. Damage can occur in a structure after long-term operating under service loads or due to incidents. By detection of these defects at the early stages of their growth and nucleation, it would be possible to not only improve the safety of the structure but also reduce the operating costs. The main goal of this dissertation is to develop a reliable and cost-effective SHM system for inspection of composite and metallic structures. The Surface Response to Excitation (SuRE) method is one of the SHM approaches that was developed at the FIU mechatronics lab as an alternative for the electromechanical impedance method to reduce the cost and size of the equipment. In this study, firstly, the performance of the SuRE method was evaluated when the conventional piezoelectric elements and scanning laser vibrometer were used as the contact and non-contact sensors, respectively, for monitoring the presence of loads on the surface. Then, the application of the SuRE method for the characterization vii of the milling operation for identical aluminum plates was investigated. Also, in order to eliminate the need for a priori knowledge of the characteristics of the structure, some advanced signal processing techniques were introduced. In the next step, the heterodyne method was proposed, as a nonlinear baseline free, SHM approach for identification of the debonded region and evaluation of the strength of composite bonds. Finally, the experimental results for both methods were validated via a finite element software. The experimental results for both SuRE and heterodyning method showed that these methods can be considered as promising linear and nonlinear SHM approaches for monitoring the health of composite and metallic structures. In addition, by validating the experimental results using FEM, the path for further improvement of these methods in future researches was paved.

Since the proliferation of CAD tools, visualizations have gained importance.. They provide invaluable visual feedback at the time of design, regardless whether it is fbi civil engineering or electronic circuit design-layout. Typically dynamic visualizations are produced in a two phase process: the calculation of positions and rendering of the image and its presentation as an animated video clip. This is a slow process that is unsuitable fbr interactive CAD visualizations, because the former two require finite element analysis Faster hardware eases the problem, but does not overcome it, because the algorithms are still too slow. Our MEMS CAD project works towards methods and techniques that are suitable for interactive design, with faster methods. The purpose of this PhD thesis is to contribute to the design of an interactive virtual prototyping of Micro Electro Mechanical Systems (MEMS) This research comprises the analysis of the visualization techniques that are appropriate for these tasks and identifying the difficulties that need to be overcome to be able to offer a MEMS design engineer a meaningful and interactive CAD design environment Such a VR-CAD system is being built in our research group with many participants in the team. Two particular problems are being addressed by presenting algorithms for truthful VR visualization methods: one is for displaying objects that are different in size on the computer screen. The other is modelling unsynchronized motion dynamics, that is different objects moving simultaneously at very high and vety low speed, by proposing stroboscopic simulation to present their dynamics on the screen They require specific size scaling and time scaling and filtering. It is these issues and challenges which make the design of a MEMS CAD tool different from other CAD tools. In the thesis I present algorithms for displaying animated virtual reality for MEMS virtual prototyping in a physically truthful way by using the simulated stroboscopic illumination to filter animated images to make it possible to show unsynchronized motion.. A scaling method was used to show or hide objects which cannot be shown simultaneously on the computer screen because of their large difference in size. The visualization of objects being designed and their animations is done with much consideration of visual perception and computer capability, which is rising attention, but not too often mentioned in the visualization domain.

Reducing cost and time is a major concern in clinical diagnostics. Current molecular diagnostics are multi-step processes that usually take at least several hours or even days to complete multiple reagents delivery, incubations and several washing processes. This highly labor-intensive work and lack of automation could result in reduced reliability and low efficiency. The Laboratory-on-a-chip (LOC), taking advantage of the merger and development of microfluidics and biosensor technology, has shown promise towards a solution for performing analytical tests in a self-contained and compact unit, enabling earlier and decentralized testing. However, challenges are to integrate the fluid regulatory elements on a single platform and to detect target analytes with high sensitivity and selectivity. The goal of this research work is to develop an AC electrokinetic (ACEK) flow through concentrator for in-situ concentration of biomolecules and develop a comprehensive understanding of effects of ACEK flow on the biomolecule transport (in-situ concentration) and their impact on electronic biosensing mechanism and performance, achieving automation and miniaturization. ACEK is a new and promising technique to manipulate micro/bio-fluids and particles. It has many advantages over other techniques for its low applied voltage, portability and compatibility for integration into lab-on-a-chip devices. Numerical study on preconcentration system design in this work has provided an optimization rule for various biosensor designs using ACEK technique. And the microfluidic immunoassay lab-chip designed based on ACET effect has showed promising prospect for accelerated diagnostics. With optimized design of channel geometry, electrode patterns, and properly selected operation condition (ac frequency and voltage), the preconcentration system greatly reduced the reaction time to several minutes instead of several hours, and improved sensitivity of the assay. With the design of immunoassay lab-chip, one can quantitatively study the effect of ACET micropumping and mixing on molecular level binding. Improved sensors with single-chip form factor as a general platform could have a significant impact on a wide-range of biochemical detection and disease diagnostics including pathogen/virus detection, whole blood analysis, immune-screening, gene expression, as well as home land security.

Teleoperation of ground/aerial vehicle extends operator's ability (e.g. expertise, strength, mobility) into the remote environment, and haptic feedback enhances the human operator's perception of the slave environment. In my thesis, two cases are studied: wheeled mobile robot (MWR) haptic tele-driving over the Internet and unmanned aerial vehicle (UAV) haptic teleoperation over the Internet. We propose novel control frameworks for both dynamic WMR and kinematic WMR in various tele-driving modes, and for a "mixed" UAV with translational dynamics and attitude kinematics. The recently proposed passive set-position modulation (PSPM) framework is extended to guarantee the passivity and/or stability of the closed-loop system with time-varying/packet-loss in the communication; and proved performance in steady state is shown by theoretical measurements.For UAV teleoperation, we also derive a backstepping trajectory tracking control with robustness analysis. Experimental results for dynamic/kinematic WMR and an indoor quadrotor-type UAV are presented to show the efficacy of the proposed control framework.