Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Actuators (2)
- Mechatronics (2)
- Robotics (2)
- Sensor (2)
- Anode protection (1)
-
- CTRNN (1)
- Carbon nanotubes (1)
- Cold spraying/ electrostatic force/ electrohydrodynamics/ high voltage systems (1)
- Composite gel polymer electrolytes (1)
- Copper compounds (1)
- Double resonance excitation (1)
- Dynamic analysis (1)
- Electric vehicle range extender (1)
- Electrical conductivity transitions (1)
- Electrical resistivity (1)
- Electrode stability (1)
- Electrodes (1)
- Failure mechanism analysis (1)
- Fluorine (1)
- Fracture (1)
- Gold (1)
- Ionic conduction (1)
- Lattice Boltzmann Flux Solver (1)
- Lithium-iodide redox (1)
- MEMS (1)
- Memristors (1)
- Misalignment and stator short-circuit coupling fault (1)
- Neuromorphic computing (1)
- Numerical analysis (1)
- Preconditioning Steady Flows Acceleration of Convergence (1)
Articles 1 - 8 of 8
Full-Text Articles in Mechanical Engineering
Machine Learning Augmentation Micro-Sensors For Smart Device Applications, Mohammad H. Hasan
Machine Learning Augmentation Micro-Sensors For Smart Device Applications, Mohammad H. Hasan
Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research
Novel smart technologies such as wearable devices and unconventional robotics have been enabled by advancements in semiconductor technologies, which have miniaturized the sizes of transistors and sensors. These technologies promise great improvements to public health. However, current computational paradigms are ill-suited for use in novel smart technologies as they fail to meet their strict power and size requirements. In this dissertation, we present two bio-inspired colocalized sensing-and-computing schemes performed at the sensor level: continuous-time recurrent neural networks (CTRNNs) and reservoir computers (RCs). These schemes arise from the nonlinear dynamics of micro-electro-mechanical systems (MEMS), which facilitates computing, and the inherent ability …
Resistive Switching In Fto/Cuo-Cu2o/Au Memory Devices, Amir Shariffar, Haider Salman, Tanveer A. Siddique, Wafaa Gebril, M. Omar Manasreh
Resistive Switching In Fto/Cuo-Cu2o/Au Memory Devices, Amir Shariffar, Haider Salman, Tanveer A. Siddique, Wafaa Gebril, M. Omar Manasreh
Electrical Engineering Faculty Publications and Presentations
Memristors are considered to be next-generation non-volatile memory devices owing to their fast switching and low power consumption. Metal oxide memristors have been extensively investigated and reported to be promising devices, although they still suffer from poor stability and laborious fabrication process. Herein, we report a stable and power-efficient memristor with novel heterogenous electrodes structure and facile fabrication based on CuO-Cu2O complex thin films. The proposed structure of the memristor contains an active complex layer of cupric oxide (CuO) and cuprous oxide (Cu2O) sandwiched between fluorine-doped tin oxide (FTO) and gold (Au) electrodes. The fabricated memristors demonstrate bipolar resistive switching …
Dynamics Analysis Of Misalignment And Stator Short-Circuit Coupling Fault In Electric Vehicle Range Extender, Xiaowei Xu, Jingyi Feng, Nan Zhang, Xiaoqing Wang
Dynamics Analysis Of Misalignment And Stator Short-Circuit Coupling Fault In Electric Vehicle Range Extender, Xiaowei Xu, Jingyi Feng, Nan Zhang, Xiaoqing Wang
Research, Publications & Creative Work
Due to the complex structure and wide excitation of the range extender, the misalignment and stator short-circuit coupling fault can easily occur. Therefore, it is necessary to study the coupling fault mechanism of the range extender, analyze the cause of the fault and the fault evolution law, and research the coupling fault characteristics. To reveal the mechanism of misalignment and stator-short-circuit coupling fault, the misalignment mechanism was analyzed and the bending and torsion electromagnetic stiness of the generator in the stator short-circuit fault was derived. Then the dynamic model of bending and torsion coupling for the generator was established. Furthermore, …
Feasibility Of Electric Field Assisted Clogging Reduction In Cold Gas Spraying Nozzle, Hendric Tronsson
Feasibility Of Electric Field Assisted Clogging Reduction In Cold Gas Spraying Nozzle, Hendric Tronsson
ENGS 88 Honors Thesis (AB Students)
The relatively novel cold spraying process expands its range of applications constantly. In order to continue this trend, this process still has various hurdles that need to be overcome such as clogging. Clogging within the cold gas spraying process causes porous coatings with less material properties and lower durability; a solution is needed in order to reduce the clogging and so expand the cold gas spraying applications. This study aimed to explore the feasibility of using an electric field to reduce clogging. To do so a simplified channel was used to simulate charged particle trajectory shifts under the influence of …
Advanced Mechatronics, Hao Su
Advanced Mechatronics, Hao Su
Open Educational Resources
Project-based course on the design of mechatronic devices to address needs identified by hospital-based clinicians and industry. Students work in teams to develop a mechatronic prototype. The lectures will cover the design of medical devices and robotics including sensors, actuators, and robots. The students will communicate with customers to understand design needs, then conduct study on prior art, intellectual property, due diligence, and idea conceptualization. Students will present ideas in class and to a broad audience from local industry. Students will also write a publication-quality final report, which they will be encouraged for publication submission.
Engineering Design I, Hao Su
Composite Gel Polymer Electrolytes For Extended Cyclability Of Lithium-Oxygen Batteries, Marcus Carlton Herndon
Composite Gel Polymer Electrolytes For Extended Cyclability Of Lithium-Oxygen Batteries, Marcus Carlton Herndon
FIU Electronic Theses and Dissertations
In lithium-oxygen (Li-O2) batteries, addressing challenges like electrode degradation, cell stability and electrolyte decomposition are key to creating more practical applications. Despite many attempts to minimize anode oxidation and cathode byproduct formation, the electrolyte remains the leading source for rapid capacity fading and poor cyclability in Li-O2batteries. Understanding the loss of functionality in electrolytes, carbon nanotube (CNT) fillers and redox mediators (RM), during cycling within Li-O2battery systems, could be the solution to prolonging battery lifetime. Determining the efficiency of these battery components and additives will push the medium towards lifelong, rechargeable and safe battery …
A Preconditioned Lattice Boltzmann Flux Solver For Steady Flows On Unstructured Hexahedral Grids, Brendan Walsh, Fergal Boyle
A Preconditioned Lattice Boltzmann Flux Solver For Steady Flows On Unstructured Hexahedral Grids, Brendan Walsh, Fergal Boyle
Articles
The lattice Boltzmann flux solver (LBFS), first introduced by Shu et al. (2014) on structured meshes, allows fluid flow problems to be solved on unstructured meshes discretised by the finite volume method. The solver calculates the macroscopic fluxes at the cell interfaces from a local reconstruction of the lattice Boltzmann solution. In this paper the LBFS is extended to three-dimensional unstructured hexahedral meshes and a preconditioned lattice Boltzmann flux solver (PLBFS) is presented. The PLBFS involves applying the preconditioning technique proposed by Guo (2004) to the LBFS and is achieved by modifying the equilibrium distribution function used to calculate the …