Browse Topic: Smart materials

Items (341)
ABSTRACT
Karakalas, AnargyrosLagoudas,  DimitrisFerede, EtanaGandhi,  Farhan
Researchers have developed biomaterial-based inks that respond to and quantify chemicals released from the body (e.g., in sweat and potentially other biofluids) or in the surrounding environment by changing color. The inks can be screen printed onto textiles such as clothes, shoes, or even face masks in complex patterns and at high resolution, providing a detailed map of human response or exposure.
Rice University neuroengineers have created a tiny surgical implant that can electrically stimulate the brain and nervous system without using a battery or wired power supply.
EPFL researchers have developed electronic fibers that, when embedded in textiles, can collect a wealth of information about our bodies by measuring subtle and complex fabric deformations. Their technology relies on transmission line theory and offers a host of applications, such as in healthcare and robotics.
A Multi-Resonant Speed Piezoelectric Beam Device for Harvesting Energy from Vehicle Wheels2020-01-12364/14/2020
This work analyzes a cantilevered piezoelectric beam device for harvesting energy from the simultaneous rotation and translational vibration of vehicle wheels. The device attaches to the wheel rim so that it displaces tangentially during operation. A lumped-parameter analytical model for the coupled electromechanical system is derived. The device has one natural frequency that is speed-dependent because of centripetal acceleration affecting the total stiffness of the device. Even though the device has one natural frequency, it experiences three resonances as the rotation speed varies. One resonance occurs when the rotation speed coincides with the speed-dependent natural frequency of the device. The other two resonances are associated with excitations from the vibration of the vehicle wheel. The device’s parameters are chosen so that these three resonances occur when the wheel travels near 30 mph, 55 mph, and 70 mph. There are two excitation frequencies that give these resonant speeds, and both choices differ from the conventional selection of the device’s natural frequency to match the excitation frequency. Instead, the device’s natural frequency must be either above or below the natural frequency for these resonances to occur at the intended speeds. The maximum energy harvested by the device is more than 45 milliwatts at each resonance. The speed bandwidths are quantified near each resonance, and, even though the resonances are linear, bandwidths of a few mph demonstrate the robustness of the device to changing vehicle speeds. The sensitivity of the power harvested by the device to the input vibration frequency and equivalent resistance of the electrical load is numerically examined. The power harvested by this device is sufficiently large to permit sensing and communication for next generation intelligent tire applications.
Cooley, Christopher
Critical Wear Assessment of AA8011/Hybrid Metal Matrix Composites with Surface Amendment Using Friction Stir Process2019-28-009610/11/2019
Friction Stir Process (FSP) was employed for surface modification of steel, titanium, aluminum and magnesium-based alloy has been significantly revised through the last decade. Friction Stir Process can improve surface properties such as hardness, abrasion resistance, ductility, strength, fatigue life, corrosion resistance and formability without upsetting the bulk properties of the material. The aluminum alloy having low ductility and softness characteristics are restricted because of their poor tribological properties. Preliminary studies reveal that, an ideal circumstance is to improve the aluminum alloy material life cycles by the way of strengthening the surface layer which can be modified through reinforcing nanoparticles through FSP. The main objective of the study is to improve the surface properties of AA8011 by adding nanoparticles such as SMA and silicon nitrate (Si3N4) through friction stir process. By the way, this experiment was carried out to obtain three set of samples like virgin AA8011, AA8011 with shape memory alloy and AA8011 along with shape memory alloy and silicon nitride during FSP under optimal process parametric condition. The nanoparticles distribution was improved after each FSP pass and improvement in mechanical properties was observed. On the other hand, to assess the tribological performance of prepared hard surface, three samples were taken for tribo meter test. During this study the influenced process parameters were varied out with 10,20,30,40 N of load and 1000, 2000m sliding distance and responses were calculated on wear rate and co-efficient of friction. The wear rate and friction coefficient for alloy, composite and hybrid composite decrease with increase in sliding distance. Further increase in the applied load, the wear rate increased, and friction coefficient decreased. Hybrid composites of AA8011 along with shape memory alloy and silicon nitride specimen have shown significant tribological outcome than other samples. This hybrid FSP sample makes them as reliable alternate material for aerospace and automotive application components in tribological areas.
Ranganathan, SoundararajanRamachandran, Shri VigneshPalanivelu, RamprakashRamasamy, Saravanakumar
The present study proposes and explores a new autonomous morphing concept, whereby an increase in helicopter rotor blade camber of the order of 12-13° is realized over the inboard section of the blade with increase in ambient temperature. The camber change is achieved through a proper integration of Shape Memory Alloys (SMAs) on the lower surface of the blade aft of the leading-edge spar. For a reference rotor (no-SMA) generating 21,000 lbs thrust, operation in hot conditions resulted in a 2,590lb loss in lift. When the SMA camber morphing section extends from the blade root to 50% span, the rotor recovered up to 43% of the lift loss at high temperature. If the camber-morphing section is further extended to 75% span, up to 82% of the lost lift can be recovered.
DiPalma, MatthewGandhi, Farhan
Investigating Collaborative Robot Gripper Configurations for Simple Fabric Pick and Place Tasks2019-01-06994/2/2019
Fiber composite materials are widely used in many industrial applications - specially in automotive, aviation and consumer goods. Introducing light-weighting material solutions to reduce vehicle mass is driving innovative materials research activities as polymer composites offer high specific stiffness and strength compared to contemporary engineering materials. However, there are issues related to high production volume, automation strategies and handling methods. The state of the art for the production of these light-weight flexible textile or composite fiber products is setting up multi-stage manual operations for hand layups. Material handling of flexible textile/fiber components is a process bottleneck. Consequently, the long term research goal is to develop semi-automated pick and place processes for flexible materials utilizing collaborative robots within the process. Collaborative robots allow for interactive human-machine tasks to be conducted. The immediate research is to assess standard and modified grippers for basic material pick and place tasks via sets of experimental tasks. Pick and place experiments with flat carbon fiber fabric and two gripper configurations are tested with a YuMi 14000 ABB collaborative robot to determine the gripper characteristics and performance on the pickup, thread damage, material wrinkling, and slippage for two gripping forces, and two travel speeds. It is shown that using a silicone sleeve reduces the observed damage, material slippage, and wrinkling for most conditions.
Alebooyeh, MortezaWang, BowenUrbanic, Ruth JillDjuric, AnaKalami, Hamed
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