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Articles 1 - 30 of 47
Full-Text Articles in Mechanical Engineering
Non-Contact Wind Turbine Blade Crack Detection Using Laser Doppler Vibrometers, Ali Zabihi, Farhood Aghdasi, Chadi Ellouzi, Nand Kishore Singh, Ratneshwar Jha, Chen Shen
Non-Contact Wind Turbine Blade Crack Detection Using Laser Doppler Vibrometers, Ali Zabihi, Farhood Aghdasi, Chadi Ellouzi, Nand Kishore Singh, Ratneshwar Jha, Chen Shen
Henry M. Rowan College of Engineering Faculty Scholarship
In response to the growing global demand for both energy and a clean environment, there has been an unprecedented rise in the utilization of renewable energy. Wind energy plays a crucial role in striving for carbon neutrality due to its eco-friendly characteristics. Despite its significance, wind energy infrastructure is susceptible to damage from various factors including wind or sea waves, rapidly changing environmental conditions, delamination, crack formation, and structural deterioration over time. This research focuses on investigating non-destructive testing (NDT) of wind turbine blades (WTBs) using approaches based on the vibration of the structures. To this end, WTBs are first …
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 …
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.
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 …
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.
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 …
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 …
Examining Thermal Management Strategies For A Microcombustion Power Device, Bhanuprakash Reddy Guggilla, Jack Perelman Camins, Benjamin Taylor, Smitesh Bakrania
Examining Thermal Management Strategies For A Microcombustion Power Device, Bhanuprakash Reddy Guggilla, Jack Perelman Camins, Benjamin Taylor, Smitesh Bakrania
Henry M. Rowan College of Engineering Faculty Scholarship
Microcombustion attracts interest with its promise of energy dense power generation for electronics. Yet, challenges remain to develop this technology further. Thermal management of heat losses is a known hurdle. Simultaneously, non-uniformities in heat release within the reaction regions also affect the device performance. Therefore a combination of thermal management strategies are necessary for further performance enhancements. Here, a bench top platinum nanoparticle based microcombustion reactor, coupled with thermoelectric generators is used. Methanol-air mixtures achieve room temperature ignition within a catalytic cartridge. In the current study, the reactor design is modified to incorporate two traditional thermal management strategies. By limiting …
Layered Double Hydroxide-Based Nanocomposite Scaffolds In Tissue Engineering Applications, Burcin Izbudak, Berivan Cecen, Ingrid Anaya, Amir K. Miri, Ayca Bal-Ozturk, Erdal Karaoz
Layered Double Hydroxide-Based Nanocomposite Scaffolds In Tissue Engineering Applications, Burcin Izbudak, Berivan Cecen, Ingrid Anaya, Amir K. Miri, Ayca Bal-Ozturk, Erdal Karaoz
Henry M. Rowan College of Engineering Faculty Scholarship
Layered double hydroxides (LDHs), when incorporated into biomaterials, provide a tunable composition, controllable particle size, anion exchange capacity, pH-sensitive solubility, high-drug loading efficiency, efficient gene and drug delivery, controlled release and effective intracellular uptake, natural biodegradability in an acidic medium, and negligible toxicity. In this review, we study potential applications of LDH-based nanocomposite scaffolds for tissue engineering. We address how LDHs provide new solutions for nanostructure stability and enhance in vivo studies' success.
Acoustic Tweezer With Complex Boundary-Free Trapping And Transport Channel Controlled By Shadow Waveguides., Junfei Li, Chen Shen, Tony Jun Huang, Steven A Cummer
Acoustic Tweezer With Complex Boundary-Free Trapping And Transport Channel Controlled By Shadow Waveguides., Junfei Li, Chen Shen, Tony Jun Huang, Steven A Cummer
Henry M. Rowan College of Engineering Faculty Scholarship
Acoustic tweezers use ultrasound for contact-free, bio-compatible, and precise manipulation of particles from millimeter to submicrometer scale. In microfluidics, acoustic tweezers typically use an array of sources to create standing wave patterns that can trap and move objects in ways constrained by the limited complexity of the acoustic wave field. Here, we demonstrate spatially complex particle trapping and manipulation inside a boundary-free chamber using a single pair of sources and an engineered structure outside the chamber that we call a shadow waveguide. The shadow waveguide creates a tightly confined, spatially complex acoustic field inside the chamber without requiring any interior …
Sound Trapping In An Open Resonator, Lujun Huang, Yan Kei Chiang, Sibo Huang, Chen Shen, Fu Deng, Yi Cheng, Bin Jia, Yong Li, David A. Powell, Andrey E. Miroshnichenko
Sound Trapping In An Open Resonator, Lujun Huang, Yan Kei Chiang, Sibo Huang, Chen Shen, Fu Deng, Yi Cheng, Bin Jia, Yong Li, David A. Powell, Andrey E. Miroshnichenko
Henry M. Rowan College of Engineering Faculty Scholarship
The ability of sound energy confinement with high-quality factor resonance is of vital importance for acoustic devices requiring high intensity and hypersensitivity in biological ultrasonics, enhanced collimated sound emission (i.e. sound laser) and high-resolution sensing. However, structures reported so far have been experimentally demonstrated with a limited quality factor of acoustic resonances, up to several tens in an open resonator. The emergence of bound states in the continuum makes it possible to realize high quality factor acoustic modes. Here, we report the theoretical design and experimental demonstration of acoustic bound states in the continuum supported by a single open resonator. …
The Impact Of Alkali-Ion Intercalation On Redox Chemistry And Mechanical Deformations: Case Study On Intercalation Of Li, Na, And K Ions Into Fepo4 Cathode, Bertan Özdogru, Behrad Koohbor, O. Ozgur Capraz
The Impact Of Alkali-Ion Intercalation On Redox Chemistry And Mechanical Deformations: Case Study On Intercalation Of Li, Na, And K Ions Into Fepo4 Cathode, Bertan Özdogru, Behrad Koohbor, O. Ozgur Capraz
Henry M. Rowan College of Engineering Faculty Scholarship
Batteries made of charge carriers from Earth-crust abundant materials (e.g., Na, K, and Mg) have received extensive attention as an alternative to Li-ion batteries for grid storage. However, a lack of understanding of the behavior of these larger ions in the electrode materials hinders the development of electrode structures suitable for these large ions. In this study, we investigate the impact of alkali ions (Li, Na, and K) on the redox chemistry and mechanical deformations of iron phosphate composite cathodes by using electrochemical techniques and in situ digital image correlation. Na-ion and Li-ion intercalation demonstrate a nearly linear correlation between …
Breaking The Acoustic Diffraction Limit With An Arbitrary Shape Acoustic Magnifying Lens, Ali Abdolali, Hooman Barati Sedeh, Mohammad Hosein Fakheri, Chen Shen, Fei Sun
Breaking The Acoustic Diffraction Limit With An Arbitrary Shape Acoustic Magnifying Lens, Ali Abdolali, Hooman Barati Sedeh, Mohammad Hosein Fakheri, Chen Shen, Fei Sun
Henry M. Rowan College of Engineering Faculty Scholarship
Based on the transformation acoustics methodology, the design principle for achieving an arbitrary shape magnifying lens (ASML) is proposed. Contrary to the previous works, the presented ASML is competent of realizing far-field high resolution images and breaking the diffraction limit, regardless of the position of the utilized sources. Therefore, objects locating within the designed ASML can be properly resolved in the far-field region. It is shown that the obtained material through the theoretical investigations becomes an acoustic null medium (ANM), which has recently gained a significant attention. Besides the homogeneity of ANM, which makes it an implementable material, it is …
Energy Efficient Cutting Parameter Optimization, Xingzheng Chen, Congbo Li, Ying Tang, Li Li, Hongcheng Li
Energy Efficient Cutting Parameter Optimization, Xingzheng Chen, Congbo Li, Ying Tang, Li Li, Hongcheng Li
Henry M. Rowan College of Engineering Faculty Scholarship
Mechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and …
Design Optimization Of A Pneumatic Soft Robotic Actuator Using Model-Based Optimization And Deep Reinforcement Learning, Mahsa Raeisinezhad, Nicholas Pagliocca, Behrad Koohbor, Mitja Trkov
Design Optimization Of A Pneumatic Soft Robotic Actuator Using Model-Based Optimization And Deep Reinforcement Learning, Mahsa Raeisinezhad, Nicholas Pagliocca, Behrad Koohbor, Mitja Trkov
Henry M. Rowan College of Engineering Faculty Scholarship
We present two frameworks for design optimization of a multi-chamber pneumatic-driven soft actuator to optimize its mechanical performance. The design goal is to achieve maximal horizontal motion of the top surface of the actuator with a minimum effect on its vertical motion. The parametric shape and layout of air chambers are optimized individually with the firefly algorithm and a deep reinforcement learning approach using both a model-based formulation and finite element analysis. The presented modeling approach extends the analytical formulations for tapered and thickened cantilever beams connected in a structure with virtual spring elements. The deep reinforcement learning-based approach is …
Design Optimization Of A Pneumatic Soft Robotic Actuator Using Model-Based Optimization And Deep Reinforcement Learning, Mahsa Raeisinezhad, Nicholas Pagliocca, Behrad Koohbor, Mitja Trkov
Design Optimization Of A Pneumatic Soft Robotic Actuator Using Model-Based Optimization And Deep Reinforcement Learning, Mahsa Raeisinezhad, Nicholas Pagliocca, Behrad Koohbor, Mitja Trkov
Henry M. Rowan College of Engineering Faculty Scholarship
We present two frameworks for design optimization of a multi-chamber pneumatic-driven soft actuator to optimize its mechanical performance. The design goal is to achieve maximal horizontal motion of the top surface of the actuator with a minimum effect on its vertical motion. The parametric shape and layout of air chambers are optimized individually with the firefly algorithm and a deep reinforcement learning approach using both a model-based formulation and finite element analysis. The presented modeling approach extends the analytical formulations for tapered and thickened cantilever beams connected in a structure with virtual spring elements. The deep reinforcement learning-based approach is …
Survival And Proliferation Under Severely Hypoxic Microenvironments Using Cell-Laden Oxygenating Hydrogels, Shabir Hassan, Berivan Cecen, Ramon Peña-Garcia, Fernanda R. Marciano, Amir K. Miri, Ali Fattahi, Christina Karavasili, Shikha Sebastian, Hamza Zaidi, Anderson O. Lobo
Survival And Proliferation Under Severely Hypoxic Microenvironments Using Cell-Laden Oxygenating Hydrogels, Shabir Hassan, Berivan Cecen, Ramon Peña-Garcia, Fernanda R. Marciano, Amir K. Miri, Ali Fattahi, Christina Karavasili, Shikha Sebastian, Hamza Zaidi, Anderson O. Lobo
Henry M. Rowan College of Engineering Faculty Scholarship
Different strategies have been employed to provide adequate nutrients for engineered living tissues. These have mainly revolved around providing oxygen to alleviate the effects of chronic hypoxia or anoxia that result in necrosis or weak neovascularization, leading to failure of artificial tissue implants and hence poor clinical outcome. While different biomaterials have been used as oxygen generators for in vitro as well as in vivo applications, certain problems have hampered their wide application. Among these are the generation and the rate at which oxygen is produced together with the production of the reaction intermediates in the form of reactive oxygen …
Wearable Knee Assistive Devices For Kneeling Tasks In Construction, Siyu Chen, Duncan Stevenson, Shuangyue Yu, Monika Mioskowska, Jingang Yi, Hao Su, Mitja Trkov
Wearable Knee Assistive Devices For Kneeling Tasks In Construction, Siyu Chen, Duncan Stevenson, Shuangyue Yu, Monika Mioskowska, Jingang Yi, Hao Su, Mitja Trkov
Henry M. Rowan College of Engineering Faculty Scholarship
Construction workers regularly perform tasks that require kneeling, crawling, and squatting. Working in awkward kneeling postures for prolonged time periods can lead to knee pain, injuries, and osteoarthritis. In this paper, we present lightweight, wearable sensing and knee assistive devices for construction workers during kneeling and squatting tasks. Analysis of kneeling on level and slopped surfaces (0, 10, 20 degs) is performed for single- and double-leg kneeling tasks. Measurements from the integrated inertial measurement units are used for real-time gait detection and lower-limb pose estimation. Detected gait events and pose estimation are used to control the assistive knee-joint torque provided …