Recycling automotive, electronic, and other end-of-life waste liberates large quantities of metals, which can be returned to the supply chain. Sorting nonferrous however, is not straightforward. Common methods range from laborious hand-sorting expensive environmentally deleterious wet processes. The goal move toward dry processes, such as induction sensors vision systems, identify sort scrap efficiently economically. In this paper, we present a new classification method using magnetic...

With the UK׳s aging power generation network, life-extension of steel plant components is a critical issue. However, in order to evaluate likelihood component failure, techniques must be developed properly assess level degradation station steels. Electromagnetic inspection has potential quantify through in-situ measurements at elevated temperatures. This paper reports results tests carried out on thermally treated P9 and T22 samples with different microstructural states using major minor B–H...

Driver assistance systems (DAS) are being broadly utilized in view of the fact that driver workloads will be decreased DAS-equipped vehicles. A variety DASs have been designed, and adaptive cruise control (ACC), as a type DAS, is subject present paper. The ACC designers’ main concerns to provide comfort, which characterized by minimized jerky movement workload, safety, system’s collision avoidance (CA) capability within its region operation (determined on basis rigorous discussions derived...

Analysis of the electromagnetic (EM) properties power station steels, measured using a non-contact magnetic sensor, is significance as such are indicative microstructure material and can be potentially exploited for non-destructive testing. In this paper, we present EM measurements cylindrical steel samples (P9 T22 grades) with different microstructures: normalised tempered (representative initial condition), after service exposure. order to obtain B–H curves these were measured. Cylindrical...

The wind turbine is playing an increasingly important role in the generation of green electricity. structural integrity and maintenance blade a critical issue service due to harsh operating environments. In this paper, delamination glass fibre composite joints detected using non-contact microwave imaging with open-ended waveguide. existence extent delaminated region could be found from generated images. Thickness variation presence web can identified as well. optimum inspection frequency...

Considering the vital issue of disaster management and requirement its additional development due to increase in rate disasters over recent years, using new technologies all stages including preparation for pre-disaster periods, reaction during occurrence as well post-disaster reconstruction is very important. Therefore, capacity IoT creating intelligence objects investigate different environmental parameters, analyzing information, required predict some events consequently, responding...

This paper presents the application of electromagnetic coupled spiral inductors for non-destructive evaluation carbon-fibre reinforced polymer (CFRP) plates. Three types representative damage in carbon fibre composites are evaluated, i.e. barely visible impact (BVID), subsurface defects and internal micro-cracks. work indicates that size location can be quantitatively assessed from signal data acquisition.

Wind turbines play an increasingly important role in renewable power generation. The structural health monitoring could better improve the maintenance and operation of wind turbine blades field. In this paper, delamination glass fibre composite joints a blade is successfully detected using non-contact microwave imaging technique with open-ended waveguide. existence extent delaminated region are identified from produced scan images. addition, variation skin/flange thickness, presence web...

With the continuous increase in automobile use, there are now over 1 billion vehicles use globally, millions of which reaching their end service life throughout world. The automotive waste is a major source materials shredding plants and therefore, appropriate recycling end-of-life (ELV) has become concern. This paper presents novel design an electromagnetic tensor spectroscopy (EMTS) sensor system, employs array to determine electrical conductivity each metal piece, can then be used sort...

This paper presents a design of centre-fed Rectangular Microstrip Patch Antenna (RMSA) that resonates at exactly 3.8 GHz. The effect the dielectric material's choice, substrate height, constant, and material is on RMSA for constant resonant frequency while maintaining signal integrity reducing loss. antenna's gain input return loss are improved by adjusting upper lower bounds height substrate. Results show maximum bandwidth 350 MHz, 7.77 dBi, (S11) below–33 dB were obtained. Furthermore,...

Accurate measurement of electromagnetic properties steels is significant importance as EM are indicative microstructure and hence the material. In this paper, we present cylindrical power station steel samples in different microstructural states representative their initial condition after service exposure. Cylindrical air cored sensors were used. Analytical numerical methods (Finite Elements Methods) employed to calculate sensor response these samples. Experimental results obtained for a...

We present a new method to sort non-magnetic conductive metals - specifically brass, copper and aluminium with the aim of improving economic yields in scrap metal recycling industries. The uses impedance spectra objects derived from scattered magnetic field. Preliminary results are presented on small sample set showing good accuracy across all classes even when test travelling at high speeds (1 m/s). suggest is both feasible practical high-throughput demanded by industry.

A smart, accurate, and energy efficient control strategy to adjust dimming level of luminaires in an indoor environment is proposed this paper. The block lighting system nonlinear time variant, since multiple reflections objects daylight variation are related daytime they can directly affect the system. According complexity equations which model system, a based on Neural Network (NN) learning machine developed. By considering each zone as independent structure, occupancy added. In addition,...

Accurate and power efficient determination of luminaires dimming level is a challenging issue in smart indoor lighting systems, since the system nonlinear time variant. In this paper, control method developed order to determine an environment with multiple work zones. A positive point proposed that photodetectors are placed at zones which increase accuracy. Besides, different number can be method, may have dimensions also accuracy levels differ. The takes advantages learning avoid complexity...

A compact GPS antenna has been designed and printed on a flexible polyimide substrate for integration into wearable devices. The design incorporates planar dipole structure with optimised geometry to minimise volume maximise surface current distribution. simulated measured in open space human wrist model; giving consistent results as presented. antenna, dimensions of 40mm×25mm (80% smaller than wire the same characteristics) is mechanically robust device capable working inside textile/nylon...

There are currently no techniques available to monitor the microstructural condition of power station steel components in-service (at elevated temperatures). Electromagnetic (EM) inspection methods have potential provide a solution this problem. Tests been carried out on generation (P9 and T22) samples with different states using major minor B-H loop measurements correlations established between EM properties material such as Vickers hardness. These will be used develop field deployable tool...

Accurate and efficient adjustment of luminaire's dimming level in a smart environment can be huge challenge. Indoor lighting system as nonlinear time variant block, which consumes significant amount electrical power is evaluated this paper. In doing so, control method proposed to efficiently adjust optimize energy user's comfort level. The takes advantages from neural network its learning capabilities. research, photodetectors are placed at the work zones, where zones have different number...