Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Biomedical Engineering and Bioengineering (15)
- Materials Science and Engineering (11)
- Physical Sciences and Mathematics (5)
- Electrical and Computer Engineering (4)
- Physics (4)
-
- Civil and Environmental Engineering (3)
- Acoustics, Dynamics, and Controls (2)
- Biomaterials (2)
- Biomechanical Engineering (2)
- Electro-Mechanical Systems (2)
- Heat Transfer, Combustion (2)
- Aerospace Engineering (1)
- Applied Mathematics (1)
- Applied Mechanics (1)
- Aviation (1)
- Civil Engineering (1)
- Construction Engineering and Management (1)
- Engineering Education (1)
- Engineering Science and Materials (1)
- Manufacturing (1)
- Power and Energy (1)
- Structural Engineering (1)
- Keyword
-
- Bioprinting (3)
- Soft robotics (3)
- Cellular structures (2)
- Debonding (2)
- Density gradation (2)
-
- Digital image correlation (2)
- Energy (2)
- Energy absorption (2)
- Heat transfer (2)
- Hydrogels (2)
- Machine learning (2)
- Microcombustion (2)
- Microfluidics (2)
- Offshore wind power (2)
- Optimization (2)
- Piezoelectric (2)
- Precision agriculture (2)
- Spinal Cord Injury (2)
- Thermoelectric (2)
- Wind turbines (2)
- 2D axisymmetric (1)
- 3D Bioprinting (1)
- 3D printing (1)
- 3D printing; Underwater acoustics; Acoustic communications; Biomedical ultrasound; Condition; Particle manipulation; Systems complexity; Three dimensions; Transducer array; Vortex beams; Vortex generation; Vortex pattern; Vortex flow (1)
- ANSYS Fluent (1)
- ARCHITECTED MATERIALS (1)
- Acoustic energy harvesting (1)
- Actuators (1)
- Acute Myocardial Infarction (1)
- Additive manufacturing (1)
- Publication Year
- Publication
- Publication Type
Articles 1 - 30 of 101
Full-Text Articles in Mechanical Engineering
Underwater Double Vortex Generation Using 3d Printed Acoustic Lens And Field Multiplexing, Chadi Ellouzi, Ali Zabihi, Farhood Aghdasi, Aidan Kayes, Milton Rivera, Jiaxin Zhong, Amir Miri, Chen Shen
Underwater Double Vortex Generation Using 3d Printed Acoustic Lens And Field Multiplexing, Chadi Ellouzi, Ali Zabihi, Farhood Aghdasi, Aidan Kayes, Milton Rivera, Jiaxin Zhong, Amir Miri, Chen Shen
Henry M. Rowan College of Engineering Faculty Scholarship
The generation of acoustic vortex beams has attracted an increasing amount of research attention in recent years, offering a range of functions, including acoustic communication, particle manipulation, and biomedical ultrasound. However, incorporating more vortices and broadening the capacity of these beams and associated devices in three dimensions pose challenges. Traditional methods often necessitate complex transducer arrays and are constrained by conditions such as system complexity and the medium in which they operate. In this paper, a 3D printed acoustic lens capable of generating a double vortex pattern with an optional focusing profile in water was demonstrated. The performance of the …
Real-Time Arrhythmia Detection Using Convolutional Neural Networks, Thong Vu, Tyler Petty, Kemal Yakut, Muhammad Usman, Wei Xue, Francis M. Haas, Robert A. Hirsh, Xinghui Zhao
Real-Time Arrhythmia Detection Using Convolutional Neural Networks, Thong Vu, Tyler Petty, Kemal Yakut, Muhammad Usman, Wei Xue, Francis M. Haas, Robert A. Hirsh, Xinghui Zhao
Henry M. Rowan College of Engineering Faculty Scholarship
Cardiovascular diseases, such as heart attack and congestive heart failure, are the leading cause of death both in the United States and worldwide. The current medical practice for diagnosing cardiovascular diseases is not suitable for long-term, out-of-hospital use. A key to long-term monitoring is the ability to detect abnormal cardiac rhythms, i.e., arrhythmia, in real-time. Most existing studies only focus on the accuracy of arrhythmia classification, instead of runtime performance of the workflow. In this paper, we present our work on supporting real-time arrhythmic detection using convolutional neural networks, which take images of electrocardiogram (ECG) segments as input, and classify …
Precision Spraying Using Variable Time Delays And Vision-Based Velocity Estimation, Paolo Rommel Sanchez, Hong Zhang
Precision Spraying Using Variable Time Delays And Vision-Based Velocity Estimation, Paolo Rommel Sanchez, Hong Zhang
Henry M. Rowan College of Engineering Faculty Scholarship
Traditionally, precision farm equipment often relies on real-time kinematics and global positioning systems (RTK-GPS) for accurate position and velocity estimates. This approach proved effective and widely adopted in developed regions where RTK-GPS satellite and base station availability and visibility are not limited. However, RTK-GPS signal can be limited in farm areas due to topographic and economic constraints. Thus, this study developed a precision sprayer that estimated the travel velocity locally by tracking the relative motion of plants using a deep-learning-based machine vision system. Sprayer valves were then controlled by variable time delay (VTD) queuing and dynamic filtering. The proposed velocity …
Evaluation Of Digital Twin Approaches For Thermal Modeling And Energy Optimization For Existing Buildings, Jason Bastie Muermann
Evaluation Of Digital Twin Approaches For Thermal Modeling And Energy Optimization For Existing Buildings, Jason Bastie Muermann
Theses and Dissertations
Residential, commercial, and industrial building sectors in the United States were responsible for 42% of the nation’s consumption of 100.2 quadrillion BTUs of energy in 2019 [1]. 80% of the nation’s energy is sourced from fossil fuels, including coal, natural gas, and petroleum. Fossil fuels are known contributors to carbon emissions and climate change, making energy reduction vital. Consequently, New Jersey Department of Military and Veterans Affairs (NJDMAVA) is tasked with evaluating energy consumption and efficiency in all New Jersey Army National Guard (NJARNG) facilities, as mandated by TAG Policy Letter 18-5, Executive Order 13990, and the Energy Independence and …
Development Of A Modular Agricultural Robotic Sprayer, Paolo Rommel P. Sanchez
Development Of A Modular Agricultural Robotic Sprayer, Paolo Rommel P. Sanchez
Theses and Dissertations
Precision Agriculture (PA) increases farm productivity, reduces pollution, and minimizes input costs. However, the wide adoption of existing PA technologies for complex field operations, such as spraying, is slow due to high acquisition costs, low adaptability, and slow operating speed. In this study, we designed, built, optimized, and tested a Modular Agrochemical Precision Sprayer (MAPS), a robotic sprayer with an intelligent machine vision system (MVS). Our work focused on identifying and spraying on the targeted plants with low cost, high speed, and high accuracy in a remote, dynamic, and rugged environment. We first researched and benchmarked combinations of one-stage convolutional …
Flexural Wave Manipulation By Non-Hermitian Planar Elastic Metasurface, Katerina Stojanoska
Flexural Wave Manipulation By Non-Hermitian Planar Elastic Metasurface, Katerina Stojanoska
Theses and Dissertations
It has been demonstrated that metasurfaces with spatially asymmetric inner geometry exhibit unidirectional scattering effects, which can be used to control waves in a directional fashion. In this thesis, a planar Non-Hermitian elastic metasurface exhibiting unidirectional focusing of flexural waves is proposed. Asymmetrically loaded piezoelectric disks and metallic blocks comprise the unit cells. By using a negative capacitance shunting, a tunable material loss is embedded into the system. With suitable engineering of the induced loss profile, resonating building blocks are designed, which are capable of independently accessing unidirectional zero reflection. A planar metasurface is then created so that constructive interference …
A 3d Bioprinted Hydrogel Microfluidic Device For Screening Applications, Anant Bhusal
A 3d Bioprinted Hydrogel Microfluidic Device For Screening Applications, Anant Bhusal
Theses and Dissertations
The microfluidic enabled the integration of engineered miniaturized tissue models for drug screening. Conventional polydimethylsiloxane or plastic-based devices require multiple fabrication steps, which are challenging. We developed a 3D bioprinting approach to create prototypes of hydrogel-based multi-material microfluidic devices integrated with microtissue models. The approach utilizes poly(ethylene glycol) diacrylate and gelatin-methacryloyl to create microfluidic chips using multi-material bioprinting capacity with a high resolution of 15µm on x-y and 50µm on the z-axis and post-printing viability of >90%. We demonstrated easy regulation of stiffness from 24±5 kPa to 1,180±9 kPa and burst pressure from 16±1kPa to 256±19 kPa in the chip …
Using Dielectric Scatters To Selectively Excite Embedded Eigenstates In Cavity Resonators, Olugbenga Joshua Gbidi
Using Dielectric Scatters To Selectively Excite Embedded Eigenstates In Cavity Resonators, Olugbenga Joshua Gbidi
Theses and Dissertations
Bound states in the continuum (BICs) are waves that remain in the continuous spectrum of radiating waves that carry energy, however, still localized within the spectrum. BICs, also embedded eigenmodes, exhibit high quality factors that have been observed in optical and acoustic waveguides, photonic structures, and other material systems. Presently, there are limited means to select these BICs in terms of the quality factor and their excitation. In this work, we show that a different type of BIC, Quasi-BICs (Q-BICs), in open resonators can have their quality attuned by introducing embedded scatters. Using microwave cavities and dielectric scatters as an …
Predictability Of Mechanical Behavior Of Additively Manufactured Particulate Composites Using Machine Learning And Data-Driven Approaches, Steven Malley, Crystal Reina, Somer Nacy, Jérôme Gilles, Behrad Koohbor
Predictability Of Mechanical Behavior Of Additively Manufactured Particulate Composites Using Machine Learning And Data-Driven Approaches, Steven Malley, Crystal Reina, Somer Nacy, Jérôme Gilles, Behrad Koohbor
Henry M. Rowan College of Engineering Faculty Scholarship
Additive manufacturing and data analytics are independently flourishing research areas, where the latter can be leveraged to gain a great insight into the former. In this paper, the mechanical responses of additively manufactured samples using vat polymerization process with different weight ratios of magnetic microparticles were used to develop, train, and validate a neural network model. Samples with six different compositions, ranging from neat photopolymer to a composite of photopolymer with 4 wt.% of magnetic particles, were manufactured and mechanically tested at quasi-static strain rate and ambient environmental conditions. The experimental data were also synthesized using a data-driven approach based …
Tuning The Mechanical Behavior Of Density-Graded Elastomeric Foam Structures Via Interlayer Properties., Kazi Z Uddin, Ibnaj A Anni, George Youssef, Behrad Koohbor
Tuning The Mechanical Behavior Of Density-Graded Elastomeric Foam Structures Via Interlayer Properties., Kazi Z Uddin, Ibnaj A Anni, George Youssef, Behrad Koohbor
Henry M. Rowan College of Engineering Faculty Scholarship
The concept of density-graded foams has been proposed to simultaneously enhance strain energy dissipation and the load-bearing capacities at a reduced structural weight. From a practical perspective, the fabrication of density-graded foams is often achieved by stacking different foam densities. Under such conditions, the adhesive interlayer significantly affects the mechanical performance and failure modes of the structure. This work investigates the role of different adhesive layers on the mechanical and energy absorption behaviors of graded flexible foams with distinct density layers. Three adhesive candidates with different chemical, physical, and mechanical characteristics are used to assemble density-graded polyurea foam structures. The …
Imaging Diagnostics For Jet Breakup Into Droplets: A Review, Anu Osta
Imaging Diagnostics For Jet Breakup Into Droplets: A Review, Anu Osta
Henry M. Rowan College of Engineering Faculty Scholarship
A concise review of the recent developments in some of the standard optical diagnostics applied for primary jet breakup studies has been presented here. Primary breakup is the core breakup of liquid jets and sheets into droplets upon its interaction with the ambient gaseous atmosphere. This phenomenon is encountered in various aerodynamic, fluid dynamic, and combustion situations. The imaging diagnostics reviewed here include photography, high-speed imaging, shadowgraphy, digital holography, ballistic imaging, jet core illumination, thermal imaging, Mie imaging, x-ray phase contrast imaging, and laser-induced fluorescence. The advantages and limitations of each technique, their success, and future developmental trend are discussed.
Investigation Of Polymer Nanocomposites With Silicon Dioxide Fillers As Helium Cooled High-Temperature Superconducting Cable Dielectrics, Jordan Thomas Cook
Investigation Of Polymer Nanocomposites With Silicon Dioxide Fillers As Helium Cooled High-Temperature Superconducting Cable Dielectrics, Jordan Thomas Cook
Theses and Dissertations
In this thesis, three polymer nanocomposite configurations are fabricated for investigation as dielectrics in helium-cooled high-temperature superconducting (HTS) cables. Polyimide, polyamide, and polymethyl methacrylate are utilized as host polymers. The composite samples are synthesized through an in situ process, dispersing silicon dioxide nanoparticles throughout the polymer hosts. Fourier transform infrared spectroscopy and scanning electron microscopy were employed to validate the synthesis of each composite configuration. Thin film samples of each configuration were also tested for their dielectric strength at both room (300 K) and cryogenic (92 K) temperatures. When going from room to cryogenic temperatures, all materials demonstrated a significant …
Investigation Of Adhesion, Deformation Mechanics, And Electrical Properties Of Ag/Sio2/Pdms Tri-Layers For Stretchable Electronic Applications, Rhandy Joe Paladines
Investigation Of Adhesion, Deformation Mechanics, And Electrical Properties Of Ag/Sio2/Pdms Tri-Layers For Stretchable Electronic Applications, Rhandy Joe Paladines
Theses and Dissertations
The motivation behind this research is to improve the interfacial layer bonding of metallic thin films to PDMS substrates with the aid of a buffer layer. The physical vapor deposition (PVD) technique of sputtering was used to deposit bilayer thin films of silver (Ag) and silicon dioxide (SiO2) on PDMS. Two chamber pressures were used in this work, 5 and 20 mTorr, to investigate the role of this parameter in determining the interfacial adhesion and the role in determining the resistance sensitivity. Studies of the surface energy and increased bonding strength for metallization are carried out. Surface characterization using atomic …
Out-Of-Plane Load-Bearing And Mechanical Energy Absorption Properties Of Flexible Density-Graded Tpu Honeycombs, Ibnaj Anamika Anni, Kazi Zahir Uddin, Nicholas Pagliocca, Nand Singh, Oyindamola Rahman, George Youssef, Behrad Koohbor
Out-Of-Plane Load-Bearing And Mechanical Energy Absorption Properties Of Flexible Density-Graded Tpu Honeycombs, Ibnaj Anamika Anni, Kazi Zahir Uddin, Nicholas Pagliocca, Nand Singh, Oyindamola Rahman, George Youssef, Behrad Koohbor
Henry M. Rowan College of Engineering Faculty Scholarship
Honeycomb structures are widely used in applications that require excellent strain energy mitigation at low structural weights. The load-bearing and energy absorption capacity of honeycomb structures strongly depend on their cell wall thickness to edge ratios. This work studies the mechanical response and strain energy absorption characteristics of hexagonal honeycomb structures with various cell wall thicknesses in response to out-of-plane loading conditions. Honeycomb structures with various nominal densities are first additively manufactured from flexible thermoplastic polyurethane (TPU). A comprehensive experimental study characterized the mechanical strength, energy absorption performance, and the strain recoverability of the structures. Density-graded structures are then fabricated …
Analytical Investigation Of Sound Radiation From Functionally Graded Thin Plates Based On Elemental Radiator Approach And Physical Neutral Surface, B. N. Singh, R. N. Hota, S. Dwivedi, Ratneshwar Jha, V. Ranjan, K. Řehák
Analytical Investigation Of Sound Radiation From Functionally Graded Thin Plates Based On Elemental Radiator Approach And Physical Neutral Surface, B. N. Singh, R. N. Hota, S. Dwivedi, Ratneshwar Jha, V. Ranjan, K. Řehák
Henry M. Rowan College of Engineering Faculty Scholarship
This paper analyzes the sound radiation behavior of a clamped thin, functionally graded material plate using the classical plate theory and Rayleigh Integral with the elemental radiator approach. The material properties of the plate are assumed to vary according to the power-law distribution of the constituent materials in the transverse direction. The functionally graded material is modeled using a physical neutral surface instead of a geometric middle surface. The effects of the power-law index, elastic modulus ratio, different constituent materials, and damping loss factor on the sound radiation of functionally graded plate are analyzed. It was found that, for the …
Topological Supercavity Resonances In The Finite System, Lujun Huang, Bin Jia, Yan Kei Chiang, Sibo Huang, Chen Shen, Fu Deng, Tianzhi Yang, David A Powell, Yong Li, Andrey E Miroshnichenko
Topological Supercavity Resonances In The Finite System, Lujun Huang, Bin Jia, Yan Kei Chiang, Sibo Huang, Chen Shen, Fu Deng, Tianzhi Yang, David A Powell, Yong Li, Andrey E Miroshnichenko
Henry M. Rowan College of Engineering Faculty Scholarship
Acoustic resonant cavities play a vital role in modern acoustical systems. The ultrahigh quality-factor resonances are highly desired for some applications such as high-resolution acoustic sensors and acoustic lasers. Here, a class of supercavity resonances is theoretically proposed and experimentally demonstrated in a coupled acoustic resonator system, arising from the merged bound states in the continuum (BICs) in geometry space. Their topological origin is demonstrated by explicitly calculating their topological charges before and after BIC merging, accompanied by charges annihilation. Compared with other types of BICs, they are robust to the perturbation brought by fabrication imperfection. Moreover, it is found …
Electro-Mechanical Data Fusion For Heart Health Monitoring, Kemal Yakut
Electro-Mechanical Data Fusion For Heart Health Monitoring, Kemal Yakut
Theses and Dissertations
Heart disease is a major public health problem and one of the leading causes of death worldwide. Therefore, cardiac monitoring is of great importance for the early detection and prevention of adverse conditions. Recently, there has been extensive research interest in long-term, continuous, and non-invasive cardiac monitoring using wearable technology. Here we introduce a wearable device for monitoring heart health. This prototype consists of three sensors to monitor electrocardiogram (ECG), phonocardiogram (PCG), and seismocardiogram (SCG) signals, integrated with a microcontroller module with Bluetooth wireless connectivity. We also created a custom printed circuit board (PCB) to integrate all the sensors into …
Design And Control Of Modular Soft Robotic Actuators With Architected Structures, Nicholas Pagliocca
Design And Control Of Modular Soft Robotic Actuators With Architected Structures, Nicholas Pagliocca
Theses and Dissertations
Soft robotic systems composed of highly compliant materials offer unparalleled advantages compared to rigid-body systems in applications such as fragile material handling and human-machine interactions. Often, their motions are prescribed by structural anisotropy and reinforcement materials to directionally limit motion. The continuum motion and non-linear material response intrinsic to soft robotics makes their design, modeling, and control a formidable challenge for engineers. Leveraging the deformation driven response of soft robotic actuators, highly versatile compliant architected structures whose local deformations dictate global material response can be integrated into soft robotic actuators for tunable mechanical responses. In this thesis, flexible center-symmetric perforated …
Experimental Characterization And Manufacture Of Polymer Nanocomposite Dielectric Coatings For High-Temperature Superconductor Applications, Jacob Ryan Mahon
Experimental Characterization And Manufacture Of Polymer Nanocomposite Dielectric Coatings For High-Temperature Superconductor Applications, Jacob Ryan Mahon
Theses and Dissertations
Increased implementation of high-temperature superconducting (HTS) power transmission has the potential to revolutionize the efficiency of electrical grids and help unlock a fully electric transportation infrastructure. Realizing the benefits of HTS systems has been impeded by a lack of available dielectric insulation materials that can 1) withstand the extreme cryogenic operating environment of superconductors and 2) demonstrate low temperature processing that is compatible with existing superconductor manufacturing methods. Solving this problem necessitates a high-performance dielectric material with multifunctional properties specifically suited for operation in HTS systems. A polyamide and silicon dioxide (PA/SiO2) nanocomposite material with exceptional thermal stability has been …
Classifying Hazardous Movements And Loads During Manual Materials Handling Using Accelerometers And Instrumented Insoles., Mitja Trkov, Duncan T Stevenson, Andrew S Merryweather
Classifying Hazardous Movements And Loads During Manual Materials Handling Using Accelerometers And Instrumented Insoles., Mitja Trkov, Duncan T Stevenson, Andrew S Merryweather
Henry M. Rowan College of Engineering Faculty Scholarship
Improper manual material handling (MMH) techniques are shown to lead to low back pain, the most common work-related musculoskeletal disorder. Due to the complex nature and variability of MMH and obtrusiveness and subjectiveness of existing hazard analysis methods, providing systematic, continuous, and automated risk assessment is challenging. We present a machine learning algorithm to detect and classify MMH tasks using minimally-intrusive instrumented insoles and chest-mounted accelerometers. Six participants performed standing, walking, lifting/lowering, carrying, side-to-side load transferring (i.e., 5.7 kg and 12.5 kg), and pushing/pulling. Lifting and carrying loads as well as hazardous behaviors (i.e., stooping, overextending and jerky lifting) were …
Non-Contact Condition Monitoring Of Wind Turbines Using Laser Vibrometers, Chen Shen, Ratneshwar Jha, Nand K. Singh
Non-Contact Condition Monitoring Of Wind Turbines Using Laser Vibrometers, Chen Shen, Ratneshwar Jha, Nand K. Singh
Henry M. Rowan College of Engineering Faculty Scholarship
No abstract provided.
Rapid On Site Repair Of Wind Turbines By Cold Spray, Behrad Koohbor, Francis M. Haas, Joseph F. Stanzione Iii
Rapid On Site Repair Of Wind Turbines By Cold Spray, Behrad Koohbor, Francis M. Haas, Joseph F. Stanzione Iii
Henry M. Rowan College of Engineering Faculty Scholarship
No abstract provided.
Standards-Compatible Smoke Points For Mono- And Un- Substituted Cycloalkane Fuel Components, Adekunle Vincent Adeniyi
Standards-Compatible Smoke Points For Mono- And Un- Substituted Cycloalkane Fuel Components, Adekunle Vincent Adeniyi
Theses and Dissertations
Emissions from the aviation industry have increased significantly over the decades and may continue to pose an environmental threat. Accordingly, efforts are being made to replace conventional aviation fuels with more sustainable alternatives that can both reduce net CO2 emissions as well as reduce other pollutants (i.e., particulates). Conventional jet fuels include aromatic species, which have high sooting tendency. Therefore, to reduce particulate emissions, the fuel aromatics content must be reduced. Cycloalkanes have potential for replacing aromatics content in jet fuel but, compared to other broad classes of chemical species that make up conventional and alternative jet fuel, there is …
Flexible Planar Metamaterials With Tunable Poisson's Ratios, Nicholas Pagliocca, Kazi Zahir Uddin, Ibnaj Anamika Anni, Chen Shen, George Youssef, Behrad Koohbor
Flexible Planar Metamaterials With Tunable Poisson's Ratios, Nicholas Pagliocca, Kazi Zahir Uddin, Ibnaj Anamika Anni, Chen Shen, George Youssef, Behrad Koohbor
Henry M. Rowan College of Engineering Faculty Scholarship
This research reports on the design, fabrication, and multiscale mechanical characterization of flexible, planar mechanical metamaterials with tailorable mechanical properties. The tunable mechanical behavior of the structures is realized through the introduction of orthogonal perforations with different geometric features. Various configurations of the perforations lead to a wide range of Poisson's ratios (from −0.8 to 0.4), load-bearing properties, and energy absorption capacities. The correlations between the configuration of the perforations and the auxetic response of the structures are highlighted through computational and experimental characterizations performed at multiple length scales. It is demonstrated that the local in-plane rotation of the solid …
Characterizing Fiber-Matrix Debond And Fiber Interaction Mechanisms By Full-Field Measurements, Robert Livingston, Behrad Koohbor
Characterizing Fiber-Matrix Debond And Fiber Interaction Mechanisms By Full-Field Measurements, Robert Livingston, Behrad Koohbor
Henry M. Rowan College of Engineering Faculty Scholarship
An experimental approach is developed and utilized to characterize the fiber-matrix interfacial debonding mechanism and its effect on matrix cracking in unidirectional (UD) fiber composites. Local deformation response at the fiber-matrix interface is first studied by analyzing the strain fields developed in the vicinity of macro fibers in single-fiber samples. A practical approach for the identification of normal cohesive behavior at the fiber-matrix interface is presented and implemented in a finite element model that replicates the experimental findings. Fiber-to-fiber interaction, debond formation, and failure mechanisms in multiple fiber systems are then studied by varying the distance and angle between adjacent …
Flexible Planar Metamaterials With Tunable Poisson’S Ratios, Nicholas Pagliocca, Kazi Zahir Uddin, Ibnaj Anamika Anni, Chen Shen, George Youssef, Behrad Koohbor
Flexible Planar Metamaterials With Tunable Poisson’S Ratios, Nicholas Pagliocca, Kazi Zahir Uddin, Ibnaj Anamika Anni, Chen Shen, George Youssef, Behrad Koohbor
Henry M. Rowan College of Engineering Faculty Scholarship
This research reports on the design, fabrication, and multiscale mechanical characterization of flexible, planar mechanical metamaterials with tailorable mechanical properties. The tunable mechanical behavior of the structures is realized through the introduction of orthogonal perforations with different geometric features. Various configurations of the perforations lead to a wide range of Poisson’s ratios (from −0.8 to 0.4), load-bearing properties, and energy absorption capacities. The correlations between the configuration of the perforations and the auxetic response of the structures are highlighted through computational and experimental characterizations performed at multiple length scales. It is demonstrated that the local in-plane rotation of the solid …
Simulation-Aided Development Of A Cnn-Based Vision Module For Plant Detection: Effect Of Travel Velocity, Inferencing Speed, And Camera Configurations, P. R. Sanchez, Hong Zhang
Simulation-Aided Development Of A Cnn-Based Vision Module For Plant Detection: Effect Of Travel Velocity, Inferencing Speed, And Camera Configurations, P. R. Sanchez, Hong Zhang
Henry M. Rowan College of Engineering Faculty Scholarship
In recent years, Convolutional Neural Network (CNN) has become an attractive method to recognize and localize plant species in unstructured agricultural environments. However, developed systems suffer from unoptimized combinations of the CNN model, computer hardware, camera configuration, and travel velocity to prevent missed detections. Missed detection occurs if the camera does not capture a plant due to slow inferencing speed or fast travel velocity. Furthermore, modularity was less focused on Machine Vision System (MVS) development. However, having a modular MVS can reduce the effort in development as it will allow scalability and reusability. This study proposes the derived parameter, called …
Algorithms For Rapid Trip Detection In Human Walking Using Inertial Sensors, Chadi Ellouzi
Algorithms For Rapid Trip Detection In Human Walking Using Inertial Sensors, Chadi Ellouzi
Theses and Dissertations
Trips and falls are one of the most common causes for injuries among elderly. The existing trip-and-falls studies primarily focus on the proactive fall prevention approaches, while active prevention strategies remain largely unexplored. This thesis aims to provide first steps towards active trip-and-fall prevention by developing various algorithms capable of detecting trip in human walking faster than the human voluntary reactions (~200 ms). The measurements of human kinematics are used as the inputs in the algorithms. The proposed algorithms include three threshold-based detection methods, an optimized elastic time-series alignment tool called dynamic time warping (DTW) that overcomes problems of time …
Non-Closed Acoustic Cloaking Devices Enabled By Sequential-Step Linear Coordinate Transformations, Zahra Basiri, Mohammad Hosein Fakheri, Ali Abdolali, Chen Shen
Non-Closed Acoustic Cloaking Devices Enabled By Sequential-Step Linear Coordinate Transformations, Zahra Basiri, Mohammad Hosein Fakheri, Ali Abdolali, Chen Shen
Henry M. Rowan College of Engineering Faculty Scholarship
Hitherto acoustic cloaking devices, which conceal objects externally, depend on objects' characteristics. Despite previous works, we design cloaking devices placed adjacent to an arbitrary object and make it invisible without the need to make it enclosed. Applying sequential linear coordinate transformations leads to a non-closed acoustic cloak with homogeneous materials, creating an open invisible region. Firstly, we propose to design a non-closed carpet cloak to conceal objects on a reflecting plane. Numerical simulations verify the cloaking effect, which is completely independent of the geometry and material properties of the hidden object. Moreover, we extend this idea to achieve a directional …
Selective Disinfection Based On Directional Ultraviolet Irradiation And Artificial Intelligence, B. Zierdt, T. Shi, T. Degroat, S. Furman, N. Papas, Z. Smoot, Hong Zhang
Selective Disinfection Based On Directional Ultraviolet Irradiation And Artificial Intelligence, B. Zierdt, T. Shi, T. Degroat, S. Furman, N. Papas, Z. Smoot, Hong Zhang
Henry M. Rowan College of Engineering Faculty Scholarship
Ultraviolet disinfection has been proven to be effective for surface sanitation. Traditional ultraviolet disinfection systems generate omnidirectional radiation, which introduces safety concerns regarding human exposure. Large scale disinfection must be performed without humans present, which limits the time efficiency of disinfection. We propose and experimentally demonstrate a targeted ultraviolet disinfection system using a combination of robotics, lasers, and deep learning. The system uses a laser-galvo and a camera mounted on a two-axis gimbal running a custom deep learning algorithm. This allows ultraviolet radiation to be applied to any surface in the room where it is mounted, and the algorithm ensures …