NDLI: Set-Point Identification and Robustness Testing of a Free-Fall Triboelectrostatic Separation Process

Content Provider	IEEE Xplore Digital Library
Author	Tilmatine, A. Bendimerad, S. Medles, K. Bendaoud, A. Younes, M. Dascalescu, L.
Copyright Year	2008
Description	Author affiliation: Electrostatics & HV Res. Unit, Djillali Liabes Univ., Sidi Bel Abbes (Tilmatine, A.; Bendimerad, S.; Medles, K.; Bendaoud, A.; Younes, M.)
Abstract	Identification of the optimal operating conditions and evaluation of their sensibility to changes in certain critical factors are critical issues for the industrial application of electrostatic separation techniques. The authors have already elaborated a procedure for set-point identification and robustness testing of a roll-type corona-electrostatic separation process. The aim of this paper is to validate a similar procedure for optimizing the selective sorting of nonconductive constituents of granular industrial plastic wastes using a free-fall triboelectrostatic separator. Samples of chopped plastic wastes, containing 50% polyethylene (PE) and 50% polyvinyl chloride (PVC) were processed in a custom-designed tribocharging device: a 10 cm diameter, 120 cm long PVC cylinder, rotating at a variable speed. The charged granules were then separated in the electrical field generated by two vertical plate electrodes, and collected in three compartments: PE, Middling and PVC. The controlled process variables were the speed of the PW cylinder, the duration of the tribocharging process and the mass of the sample. Several one- factor-at-a-time experiments, followed by two factorial designs (one composite, the other fractional), were performed based on the following three-step strategy: 1) identifying the domain of variation of the controlled variables; 2) finding the best choice of the set point; 3) assessing the robustness of the process, i.e., testing whether the performance of the system remains satisfactory even when the factors vary slightly around that point.
Starting Page	1
Ending Page	7
File Size	415169
Page Count	7
File Format	PDF
ISBN	9781424422784
ISSN	01972618
DOI	10.1109/08IAS.2008.102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Polyethylene Weight control Particle separators Robustness Plastics industry Separation processes Electrostatics Testing Sorting
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering

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