scholarly journals Performance of An Electromagnetic Energy Harvester with Linear and Nonlinear Springs under Real Vibrations

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5456
Author(s):  
Tra Nguyen Phan ◽  
Sebastian Bader ◽  
Bengt Oelmann
Keyword(s):  
Random Excitation ◽  
Electromagnetic Energy ◽  
Research Attention ◽  
Energy Harvesters ◽  
Vibration Data ◽  
Nonlinear Springs ◽  
Higher Power ◽  
Potential Benefits ◽  
Linear And Nonlinear ◽  
High Level

The introduction of nonlinearities into energy harvesting in order to improve the performance of linear harvesters has attracted a lot of research attention recently. The potential benefits of nonlinear harvesters have been evaluated under sinusoidal or random excitation. In this paper, the performances of electromagnetic energy harvesters with linear and nonlinear springs are investigated under real vibration data. Compared to previous studies, the parameters of linear and nonlinear harvesters used in this paper are more realistic and fair for comparison since they are extracted from existing devices and restricted to similar sizes and configurations. The simulation results showed that the nonlinear harvester did not generate higher power levels than its linear counterpart regardless of the excitation category. Additionally, the effects of nonlinearities were only available under a high level of acceleration. The paper also points out some design concerns when harvesters are subjected to real vibrations.

scholarly journals A comparison of power output from linear and nonlinear kinetic energy harvesters using real vibration data

2013 ◽  
Vol 22 (7) ◽  
pp. 075022 ◽  
Author(s):  
Stephen P Beeby ◽  
Leran Wang ◽  
Dibin Zhu ◽  
Alex S Weddell ◽  
Geoff V Merrett ◽  
...  
Keyword(s):  
Kinetic Energy ◽  
Power Output ◽  
Energy Harvesters ◽  
Vibration Data ◽  
Linear And Nonlinear ◽  
Nonlinear Kinetic

Scavenging energy from a vibrating building using distributed electromagnetic energy harvesters with nonlinear circuits

2021 ◽  
pp. 1045389X2199088
Author(s):  
Cheng Ning Loong ◽  
Chih-Chen Chang
Keyword(s):  
Output Power ◽  
Short Circuit ◽  
Random Excitation ◽  
Electromagnetic Energy ◽  
Nonlinear Circuits ◽  
Structural Vibration ◽  
Statistical Linearization ◽  
Energy Scavenging ◽  
Energy Harvesters ◽  
Story Building

The energy scavenged from a vibrating building installed with distributed electromagnetic energy harvesters under random excitation is analyzed. Each harvester is connected to an energy harvesting circuit made of a full-wave bridge rectifier connecting a resistor in parallel with a capacitor. Statistical linearization is adopted to estimate the stationary response of the harvester-structure system. As an illustrative example, a 20-story building equipped with 16 harvesters on each story is examined. Results show that the scavenged energy mainly concentrates at the higher stories. The vibration mitigation and energy scavenging performance of the harvesters can be enhanced simultaneously with the proper design of harvesters and circuits. Gradient ascent approach with the first-order perturbation approximation is proposed to determine the optimal design of distributed harvesters with nonlinear circuits that maximizes the total mean output power. Results show that output power decreases due to circuit nonlinearity. The maximum total mean output power obtained from the 20-story building under wind excitations with mean speed of 5 m/s is around 1.32–2.17 kW for harvesters having short-circuit damping coefficient ranging 100–300 kNs/m. These results show that scavenging energy from structural vibration is a feasible technology even considering the negative effect of circuit nonlinearity.

Robot Assisted Neurological Rehabilitation at Home: Motivational Aspects and Concepts for Tele-Rehabilitation

2009 ◽  
Vol 17 (4) ◽  
pp. 8-10 ◽  
Author(s):  
Michelle J. Johnson ◽  
Henning Schmidt
Keyword(s):  
New Technology ◽  
Neurological Rehabilitation ◽  
Motor Rehabilitation ◽  
Robot Assisted ◽  
Robotic Training ◽  
Training Systems ◽  
Rehabilitation Concepts ◽  
Potential Benefits ◽  
High Level ◽  
Therapy Robots

SummaryNumerous clinical studies have proved the efficacy of therapy robots in Neurological Motor Rehabilitation and their potential benefits for clinical outcome results. A major challenge of current technological and clinical research is the transfer of this new technology from the rehab hospital to the patient's home, thus enabling him to continue high level rehab training for further improvement of motor control of the affected limbs. This article focuses on motivational aspects and tele-rehabilitation concepts, which play an important role in the development of robotic training systems for home rehabilitation.

Computer-Aided Inspection Planning: A Multisensor High-Level Inspection Planning Strategy

2019 ◽  
Vol 19 (2) ◽  
Author(s):  
Sif Eddine Sadaoui ◽  
Charyar Mehdi-Souzani ◽  
Claire Lartigue
Keyword(s):  
Computer Aided Design ◽  
Main Concern ◽  
Laser Sensor ◽  
Inspection Planning ◽  
Research Attention ◽  
Computer Aided ◽  
Measuring Machine ◽  
High Level ◽  
Computer Aided Inspection ◽  
Touch Probe

Computer-aided inspection planning (CAIP) has gained significant research attention in the last years. So far, most CAIP systems have focused on the use of a touch probe mounted on a coordinate measuring machine (CMM). This article investigates multisensor measurement aiming to perform automatic and efficient inspection plans. High-level inspection planning, which deals with sequencing of measuring operations, is the main concern of inspection planning. This paper presents an automatic approach to generate inspection sequences by combining laser sensor and touch probe, and by giving preference to the measurement using the laser sensor if quality requirements are satisfied. The proposed approach consists of three steps. In the first step, recognition of inspection data from the computer-aided design (CAD) part model is carried out based on the concept of inspection feature (IF), and the extracted information is stored in a database. In the second step, a list of privileged scanner orientations is proposed by analyzing the accessibility of both sensors. In the third step, a sequence of operations is generated iteratively. For a given scanner orientation, the ability of the laser sensor is assessed according to an original process based on fuzzy logic model. If the laser sensor does not meet the ability requirements, touch probe ability is assessed. The proposed approach is implemented and tested on a part defined by its CAD model and specifications.

On Modeling of Springless Electromagnetic Energy Harvesters

2020 ◽  
pp. 151-159
Author(s):  
Ramy A. Mohamed ◽  
Ayman El-Badawy ◽  
Ahmed Moustafa ◽  
Andrew Kirolos ◽  
Mostafa Soliman ◽  
...  
Keyword(s):  
Electromagnetic Energy ◽  
Energy Harvesters

scholarly journals Adaptive Electromagnetic Energy Harvester for Mobile Devices

2020 ◽  
Author(s):  
Haziq Kamal ◽  
Peyman Moghadam
Keyword(s):  
Resonant Frequency ◽  
Mobile Devices ◽  
Energy Harvester ◽  
Excitation Frequency ◽  
Electromagnetic Energy ◽  
Major Drawback ◽  
Energy Harvesters ◽  
Limited Effectiveness ◽  
Energy Harvesting Devices ◽  
Ambient Excitation

<div>Advances in design and development of light-weight and low power wearable and mobile devices open up the possibility of lifetime extension of these devices from ambient sources through energy harvesting devices as opposed to periodically recharge the batteries. The most commonly available ambient energy source for mobile devices is Kinetic energy harvesters (KEH). The major drawback of the energy harvesters is limited effectiveness of harvesting mechanism near a fixed resonant frequency. It is difficult to harvest a reliable amount of energy from every forms of device motions with different excitation frequencies. To overcome this drawback, in this paper we propose an adaptive electromagnetic energy harvester which utilises spring characteristics to adapt its resonant frequency to match the ambient excitation frequency. This paper presents a prototype design and analysis of an adaptive electromagnetic energy harvester both in simulation and real. The harvester has tested using a specially designed experimental setup and compared with numerical simulations. The proposed solution generates 3.5 times higher maximum power over the default power output and 2.4 times higher maximum frequency compared to a fixed resonant frequency electromagnetic energy harvester.</div>

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