Capability Evaluation and Statistical Control of Electrostatic Separation Processes

Medles, Karim; Tilmatine, Amar; Bendaoud, Abdelber; Senouci, Khouira; Das, Subhasis; Mihalcioiu, A.; Dăscălescu, Lucian

doi:10.1109/tia.2009.2018903

Cited by 11 publications

(4 citation statements)

References 11 publications

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“…Estimators of mean and variance-covariance calculated by (13) and (14) are replaced in (5). Hotelling's T² control chart plots the following quantity:…”

Section: Estimate µ and σmentioning

confidence: 99%

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Multivariate control for three variables of an industrial roll-type electrostatic separator

Senouci

Medles

Messal

et al. 2014

2014 IEEE Industry Application Society Annual Meeting

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Hotelling's T² charts have already proven their effectiveness in the multivariate control of electrostatic separation process. The aim of this work is to extend the use of these charts from two to three variables, in order to improve the statistical control of an industrial roll-type electrostatic separator designed for the recycling industry. In the case of electrostatic separation processes, the use of: Hotelling's T ² chart for three variables would allow to control on a single graph the correlation between the masses accumulated in the three boxes of the product collector. The results of the study carried out on a pilot-plant electrostatic separator for metals and insulators from electric cable wastes in Algeria demonstrated the effectiveness of such a chart in detecting out-of-control situations: accumulation of dust particles on the high-voltage electrodes and reduction of the input flow of raw materials.

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“…Estimators of mean and variance-covariance calculated by (13) and (14) are replaced in (5). Hotelling's T² control chart plots the following quantity:…”

Section: Estimate µ and σmentioning

confidence: 99%

“…When two or several characteristics of a product (output variables of a process) are correlated, mutivariate control charts can be exploited. This is the case with the electrostatic separation processes [12]- [14], for which three output variables have to be under control, namely the masses conductor, non-conductor and middling products.…”

Section: Introductionmentioning

confidence: 99%

Multivariate control for three variables of an industrial roll-type electrostatic separator

Senouci

Medles

Messal

et al. 2014

2014 IEEE Industry Application Society Annual Meeting

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“…reduce the variability, so that to constantly respect the quality requirements. In a series of previous articles (Medles et al, 2009; Senouci et al, 2009, 2010) we have pointed out how capability and control chart concepts could be applied to electrostatic separation employed in the recycling industry. Defined as the selective sorting of charged or polarized bodies under the action of electric field forces (Ralston, 1961), the electrostatic separation is a continuous process–the outcome of which is a function of numerous factors, including flow-rate, granule size, electrode system configuration, high-voltage level, etc.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, the separation of copper from electric cable wastes is satisfactory when the mass of middling is small, and the grade of both metal and insulating products is high (Senouci et al, 2010). Monitoring of each criterion independently by distinct control charts has the advantage of simplicity, but it is not the most effective (Medles et al, 2009; Senouci et al, 2010). Superimposing univariate charts is not an appropriate solution when the variables are correlated, as is the case with the electrostatic separation processes.…”

Section: Introductionmentioning

confidence: 99%

Effective solutions for monitoring the electrostatic separation of metal and plastic granular waste from electric and electronic equipment

2012

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The variability of the quantity and purity of the recovered materials is a serious drawback for the application of electrostatic separation technologies to the recycling of granular wastes. In a series of previous articles we have pointed out how capability and classic control chart concepts could be employed for better mastering the outcome of such processes. In the present work, the multiple exponentially weighted moving average (MEWMA) control chart is introduced and shown to be more effective than the Hotelling T2 chart for monitoring slow varying changes in the electrostatic separation of granular mixtures originating from electric and electronic equipment waste. The operation of the industrial process was simulated by using a laboratory roll-type electrostatic separator and granular samples resulting from shredded electric cable wastes. The 25 tests carried out during the observation phase enabled the calculation of the upper and lower control limits for the two control charts considered in the present study. The 11 additional tests that simulated the monitoring phase pointed out that the MEWMA chart is more effective than Hotelling's T(2) chart in detecting slow varying changes in the outcome of a process. As the reverse is true in the case of abrupt alterations of monitored process performances, simultaneous usage of the two control charts is strongly recommended. While this study focused on a specific electrostatic separation process, using the MEWMA chart together with the well known Hotelling's T(2) chart should be applicable to the statistical control of other complex processes in the field of waste processing.

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Impact of nonconductive powder on electrostatic separation for recycling crushed waste printed circuit board

Qin

Zhou

et al. 2009

Journal of Hazardous Materials

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Capability Evaluation and Statistical Control of Electrostatic Separation Processes

Cited by 11 publications

References 11 publications

Multivariate control for three variables of an industrial roll-type electrostatic separator

Multivariate control for three variables of an industrial roll-type electrostatic separator

Effective solutions for monitoring the electrostatic separation of metal and plastic granular waste from electric and electronic equipment

Impact of nonconductive powder on electrostatic separation for recycling crushed waste printed circuit board

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