A new model of repulsive force in eddy current separation for recovering waste toner cartridges

Ruan, Jujun; Xu, Zhenming

doi:10.1016/j.jhazmat.2011.05.025

Cited by 19 publications

(21 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This could be attributed to the influence of metal thickness on the eddy current. The thinner the thickness is, the smaller the eddy current is, and therefore the lower the sensitivity [23].…”

Section: Resultsmentioning

confidence: 99%

Passive Wireless LC Proximity Sensor Based on LTCC Technology

Wang

Liu

et al. 2019

Sensors

View full text Add to dashboard Cite

In this work, we report a passive wireless eddy current proximity sensor based on inductive-capacitive (LC) resonance using a low temperature co-fired ceramic (LTCC) technology. The operation principle of the LC proximity sensor to the metal targets was comprehensively discussed through electromagnetic simulation and circuit model. Copper and aluminum were selected as the metal target materials for the measurements. Circular copper plates with different diameters and thickness were used to investigate the influence of the surface area and thickness of the target on the sensitivity. The decreases of the sensitivity with the decrease of the surface area and thickness were observed. The LC proximity sensor showed a high sensitivity of 11.2 MHz/mm for the proximity distance of 1–3 mm, and large detection range up to 10 mm. The developed LC proximity sensor is promising for passive wireless metal detections and proximity measurements under harsh environments.

show abstract

Section: Resultsmentioning

confidence: 99%

Passive Wireless LC Proximity Sensor Based on LTCC Technology

Wang

Liu

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…Removing non-ferrous metals from waste material is difficult task industries are facing. The eddy current separator is suitable to be employed for solving these problems [8].…”

Section: Eddy Current Separatorsmentioning

confidence: 99%

The Accuracy of Sorting Beverage Cans and Bottles for a Reverse Vending Machine

Watanyulertsakul¹

2019

ECTI-CIT

View full text Add to dashboard Cite

At present, there are many types of beverage packages such as cans and plastic bottles which lead to a large number of waste beverage cans. Furthermore, throwing beverage cans away without management tends to be an ineffective way to get optimal utilization of resources. Hence, the primary emphasis of this work is on the development of automatic sorting of beverage cans for reverse vending machines. In addition, the accuracy testing of sorting beverage cans by the machine was designed based on three techniques which are easy to implement and which will bring sustainable energy innovations with communities’ participation. There are two sampling groups of cans and plastic bottles in the experimental studies. The first group is the group which already has data in the system for using this in a prototype of sorting process. The latter one is the group without data in the system or which has never been used before. Furthermore, the reverse vending machine has two types of proximity sensors; inductive and capacitive which work together. The experimental results of sorting beverage cans and bottles on two sample groups show that the average accuracy of sorting is 99.20%. The sorting of beverage cans and bottles based on magnetic hinge and barcode provides an average accuracy of 79.20% and 50.00%, respectively. Classifying using the proximity sensor has the fastest operation with an average of 2.66 seconds, followed by barcode and hinge. Those takes 4.01 and 5.21 seconds, respectively.

show abstract

“…and induced Eddy current act on a particle during Eddy current test, as a result of the interaction with the magnetic field of the coil [20]. Based on the analysis of induced Eddy current in metal flake, according to current skin effect, the current forms yield to the shape of the maximal cross area of the particle [21]. The principal diameters D of the selected particles relating to the Eddy current process are established by determining the size of the largest circle (Eddy current).…”

Section: Numerical Simulation and Discusionsmentioning

confidence: 99%

Identification of the metal waste using an electromagnetic sensor

Karima¹,

Abdelghani²,

Dahman³

2018

MMC_C

View full text Add to dashboard Cite

This article describes a new method for identification of non-ferrous scrap metals using an Electromagnetic Sensor (EMS) that is based on the Eddy Current (EC) principle. Electromagnetic sensor is a suitable tool for identifying recoverable waste products. The identification of particles is essential to facilitate their recovery. This study deals with the 3D modelling of electromagnetic sensor located above for a representative cylindrical form particle sample of the waste. Based on the EC, we are going to be estimating the electric conductivity of the metal waste by using least squares methods (LSM) and the inverse model. Results obtained by the finite element method (FEM) are compared with experimental tests. So, the results prove the applicability of presenting the approach for the identification of waste metal by the eddy currents.

show abstract

A new model of repulsive force in eddy current separation for recovering waste toner cartridges

Cited by 19 publications

References 18 publications

Passive Wireless LC Proximity Sensor Based on LTCC Technology

Passive Wireless LC Proximity Sensor Based on LTCC Technology

The Accuracy of Sorting Beverage Cans and Bottles for a Reverse Vending Machine

Identification of the metal waste using an electromagnetic sensor

Contact Info

Product

Resources

About