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Full-Text Articles in Engineering

Non-Closed Acoustic Cloaking Devices Enabled By Sequential-Step Linear Coordinate Transformations, Zahra Basiri, Mohammad Hosein Fakheri, Ali Abdolali, Chen Shen Dec 2021

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 Oct 2021

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 Oct 2021

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 Sep 2021

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 Aug 2021

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 Aug 2021

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 Aug 2021

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 Jun 2021

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 May 2021

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 May 2021

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 May 2021

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 May 2021

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 Jan 2021

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 …