Structural parameter identification of a bolted connection embedded with a piezoelectric interface

As the impedance-based technique has been commonly accepted as an innovative structural health monitoring tool, structural identification of a piezoelectric-driven system is of significant interest for damage identification and quantification. This study presents a predictive modelling strategy, which combines the finite element (FE) method with a model-updating approach, for estimating the structural parameters of a piezoelectric interface-bolted connection system. Firstly, the basic operating principle of the piezoelectric-based smart interface is introduced. Secondly, a bolted connection is selected as a host structure to conduct real impedance measurement via the smart interface. Thirdly, a numerical FE model corresponding to the experimental model is established by using a FE program, COMSOL Multiphysics. A sensitivity-based model updating algorithm is adopted to fine-tune the FE model. Finally, structural parameters of the FE model are determined as the numerical impedance signatures match with the measured ones at the same high-frequency band with identical patterns. This study is expected to open an alternative approach for determining unknown structural parameters of the piezoelectric interface-bolted joint system in practice

Advanced Mechanical Modeling of Nanomaterials and Nanostructures

This reprint presents a collection of contributions on the application of high-performing computational strategies and enhanced theoretical formulations to solve a wide variety of linear or nonlinear problems in a multiphysical sense, together with different experimental studies

Embedded Piezoelectric Fiber Composite Sensors for Applications in Composite Structures

Health monitoring of the composite structures is an important issue that must be addressed. Embedded sensors could be an effective way to monitor the health of composite structures continuously and which could also avoid the catastrophic failures of composite structures. Piezoelectric-fiber-composite sensors (PFCS) made from micro-sized Lead Zirconate Titanate (PZT) fibers have great advantages over the traditional bulk PZT sensors for embedded sensor applications. PFCS as an embedded sensor will be an ideal choice to continuously monitor the stress/strain levels and health conditions of composites. This work presents a critical study on using PFCS as an effective embedded sensor within the composite structures. Firstly, a series of carefully planned experiments are conducted to study the sensor performance based on characteristics like transfer function, sensitivity, nonlinearity, resolution, and noise levels. A numerical simulation study is performed to understand the local stress/strain field near the embedded sensor region inside composite specimen. High stress-concentration regions are observed near the embedded sensor corner edge. In-plane tensile, in plane tension-tension fatigue, flexural, and short beam strength tests are performed to evaluate the strengths/behavior of the composites (composite laminates and composite sandwich structures) containing embedded PFCS sensor. Overall PFCS seems to have high compatibility with composites and the reduction in strength values are within the permissible limits. Embedded PFCS’s voltage output response under tension-tension fatigue loading conditions has been recorded simultaneously to study their ability to detect the changes in input loading conditions. A linear relationship has been observed between the changes in the output voltage response of the sensor and changes in the input stress amplitude. This means that by constantly monitoring the output response of the embedded PFCS, one could effectively monitor the magnitude of stress/strain acting on the structure. Experiments are also performed to explore the ability of the embedded PFCS to detect the damages in the structures using modal analysis and impact techniques. PFCS are able to detect defects like delamination and cracks inside the composite structure using these two methods. Hence embedded PFCS could be an effective method to monitor the health of the composite structures’ in-service conditions

MEMS Technology for Biomedical Imaging Applications

Biomedical imaging is the key technique and process to create informative images of the human body or other organic structures for clinical purposes or medical science. Micro-electro-mechanical systems (MEMS) technology has demonstrated enormous potential in biomedical imaging applications due to its outstanding advantages of, for instance, miniaturization, high speed, higher resolution, and convenience of batch fabrication. There are many advancements and breakthroughs developing in the academic community, and there are a few challenges raised accordingly upon the designs, structures, fabrication, integration, and applications of MEMS for all kinds of biomedical imaging. This Special Issue aims to collate and showcase research papers, short commutations, perspectives, and insightful review articles from esteemed colleagues that demonstrate: (1) original works on the topic of MEMS components or devices based on various kinds of mechanisms for biomedical imaging; and (2) new developments and potentials of applying MEMS technology of any kind in biomedical imaging. The objective of this special session is to provide insightful information regarding the technological advancements for the researchers in the community

Energy harvesting from body motion using rotational micro-generation

Autonomous system applications are typically limited by the power supply operational lifetime when battery replacement is difficult or costly. A trade-off between battery size and battery life is usually calculated to determine the device capability and lifespan. As a result, energy harvesting research has gained importance as society searches for alternative energy sources for power generation. For instance, energy harvesting has been a proven alternative for powering solar-based calculators and self-winding wristwatches. Thus, the use of energy harvesting technology can make it possible to assist or replace batteries for portable, wearable, or surgically-implantable autonomous systems. Applications such as cardiac pacemakers or electrical stimulation applications can benefit from this approach since the number of surgeries for battery replacement can be reduced or eliminated. Research on energy scavenging from body motion has been investigated to evaluate the feasibility of powering wearable or implantable systems. Energy from walking has been previously extracted using generators placed on shoes, backpacks, and knee braces while producing power levels ranging from milliwatts to watts. The research presented in this paper examines the available power from walking and running at several body locations. The ankle, knee, hip, chest, wrist, elbow, upper arm, side of the head, and back of the head were the chosen target localizations. Joints were preferred since they experience the most drastic acceleration changes. For this, a motor-driven treadmill test was performed on 11 healthy individuals at several walking (1-4 mph) and running (2-5 mph) speeds. The treadmill test provided the acceleration magnitudes from the listed body locations. Power can be estimated from the treadmill evaluation since it is proportional to the acceleration and frequency of occurrence. Available power output from walking was determined to be greater than 1mW/cm³ for most body locations while being over 10mW/cm³ at the foot and ankle locations. Available power from running was found to be almost 10 times higher than that from walking. Most energy harvester topologies use linear generator approaches that are well suited to fixed-frequency vibrations with sub-millimeter amplitude oscillations. In contrast, body motion is characterized with a wide frequency spectrum and larger amplitudes. A generator prototype based on self-winding wristwatches is deemed to be appropriate for harvesting body motion since it is not limited to operate at fixed-frequencies or restricted displacements. Electromagnetic generation is typically favored because of its slightly higher power output per unit volume. Then, a nonharmonic oscillating rotational energy scavenger prototype is proposed to harness body motion. The electromagnetic generator follows the approach from small wind turbine designs that overcome the lack of a gearbox by using a larger number of coil and magnets arrangements. The device presented here is composed of a rotor with multiple-pole permanent magnets having an eccentric weight and a stator composed of stacked planar coils. The rotor oscillations induce a voltage on the planar coil due to the eccentric mass unbalance produced by body motion. A meso-scale prototype device was then built and evaluated for energy generation. The meso-scale casing and rotor were constructed on PMMA with the help of a CNC mill machine. Commercially available discrete magnets were encased in a 25mm rotor. Commercial copper-coated polyimide film was employed to manufacture the planar coils using MEMS fabrication processes. Jewel bearings were used to finalize the arrangement. The prototypes were also tested at the listed body locations. A meso-scale generator with a 2-layer coil was capable to extract up to 234 µW of power at the ankle while walking at 3mph with a 2cm³ prototype for a power density of 117 µW/cm³. This dissertation presents the analysis of available power from walking and running at different speeds and the development of an unobtrusive miniature energy harvesting generator for body motion. Power generation indicates the possibility of powering devices by extracting energy from body motion

Leading the Charge in Bone Healing: Design of Compliant Layer Adaptive Composite Stacks for Electrical Stimulation in Orthopedic Implants

The overall aim of this research is to develop a robust, adaptable piezoelectric composite load-bearing biomaterial that when integrated with current implants, can harvest human motion and subsequently deliver electrical stimulation to trigger the natural bone healing and remodeling process. Building on the preclinical success of a stacked piezocomposite spinal fusion implant, compliant layer adaptive composite stacks (CLACS) were designed as a scalable biomaterial to increase efficiency of power generation while maintaining mechanical integrity under fatigue loading seen in orthopedic implants. Energy harvesting with piezoelectric material is challenging at low frequencies due to material properties that limit total power generation at these frequencies and brittle mechanical properties. Stacked generators increase power generation at lower voltage levels and resistances, but are not efficient at low frequencies seen in human motion. CLACS integrates compliant layers between the stiff piezoelectric elements within a stack, capitalizing on the benefits of stacked piezoelectric generators, while decreasing stiffness and increasing strain to amplify power generation. The first study evaluated CLACS under compressive loads, demonstrating the power amplification effect as the thickness of the compliant layer increases. The second study characterized the effect of poling direction of piezoelectric discs within a CLACS structure under multiaxial loads, demonstrating an additional increase in power generation when mixed poling directions are used to create mixed-mode CLACS. The final study compared the fatigue performance and power generation capability of three commercially fabricated piezoelectric stack generators with and without CLACS technology in modified implant assemblies. All configurations produced sufficient power to stimulate bone growth, and maintained mechanical strength throughout a high load, low cycle fatigue analysis, thus validating feasibility for use in orthopedic implants. The presented work in this dissertation provides a robust experimental understanding of CLACS and a characterization of how piezoelectric properties and composite structures can be tailored within the CLACS structure to efficiently generate power in low frequency, low impedance applications. The main motivation of this work was to develop a thorough understanding of CLACS behavior for implementation into medical implants to deliver therapeutic electrical stimulation and accelerate rate of bone growth, helping patients completely heal faster. However, the ability to tune composite stiffness by changing compliant material properties, type of piezoelectric material and poling direction, or volume fractions could benefit the energy harvesting potential in fields ranging from civil infrastructure to wind energy, to wearables and athletic equipment

Supercapacitors for the Next Generation

Supercapacitors are presently applied in various devices and have the potential to be used in many fields in the future. For example, the use of supercapacitors is currently limited not only to automobiles, buses, and trucks, which have been electrified recently, but also to railways and aircraft. We believe that these devices are the most suitable physical batteries for absorbing regenerative energy produced during motor regeneration; thus, further research and development in this direction is expected in the future

Piezoelectric Control of Structures Prone to Instabilities

Thin-walled structures such as stiffened panels fabricated out of high strength materials are ubiquitous in aerospace structures. These are prone to buckle in a variety of modes with strong possibility of adverse interaction under axial compression and/or bending. Optimally designed stiffened panels, at an appropriate combination of axial compression and suddenly applied lateral pressure undergo large amplitude oscillations and may experience divergence. Under aerodynamic loading, they can experience flutter instability with the amplitudes of oscillations attaining a limit: LCO) or escalating without any limit. Control of structures prone to these forms of instability using piezo-electric actuators is the theme of this dissertation. Issues involved in the control of stiffened panels under axial compression and liable to buckle simultaneously in local and overall modes are studied. The analytical approach employs finite elements in which are embedded periodic components of local buckling including the second order effects. It is shown that the adverse effects of mode interaction can be counteracted by simply controlling the overall bending of the stiffener by piezo-electric actuators attached its tips. Control is exercised by self-sensing actuators by direct negative feedback voltages proportional to the bending strains of the stiffener. In a dynamic loading environment, where vibrations are triggered by suddenly applied lateral pressure, negative velocity feedback is employed with voltages proportional to the bending strain-rate. The local plate oscillations are effectively controlled by a piezo-electric actuators placed along the longitudinal center line of the panel. The problem of flutter under aerodynamic pressure of stiffened panels in the linear and post-critical regimes is studied using modal analysis and finite strips. The analysis, control and interpretation of the response are facilitated by identification of two families of characteristic modes of vibration, viz. local and overall modes and by a classification of the local modes into two distinct categories, viz. symmetric and anti-symmetric modes respectively. The symmetric local modes interact with overall modes from the outset, i.e. in the linear flutter problem whereas both the sets of local modes interact with overall modes in the post-critical range via cubic terms in the elastic potential. However the effects of interaction in the flutter problem are far less dramatic in comparison to the interactive buckling problem unless the overall modes are activated, say by dynamic pressure on the plate. Control of the panel is exercised by piezo-electric patches placed on the plate at regions of maximum curvature as well as on the stiffener. Two types of control strategies were investigated for the panel subject to fluttering instability. The first is the direct negative velocity feedback control using a single gain factor for each of the sets of plate patches and stiffener patches respectively. A systematic method of determining the gains for the patches has been developed. This is based on the application of LQR algorithm in conjunction with a linearized stiffness matrix of the uncontrolled structure computed at a set of pre-selected times. This type of control was successful till the aerodynamic pressure coefficient reaches up to about six times its critical value, where after it simply failed. The second type of control is the multi-input and multi-output full state feedback control. The LQR algorithm and the linearized stiffness matrix are invoked again, but the gain matrix is computed at the beginning of every time step in the analysis and immediately implemented to control the structure. This type of control proved very effective the only limitation stemming from the maximum field strength that can be sustained by the piezo-electric material employed