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Set-point Identification and Robustness Testing of a Free-fall Triboelectrostatic Separation Process

机译:定点识别和稳健性测试自由落体摩擦电池分离过程

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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.
机译:的最佳操作条件和它们的敏感性的评价在某些关键因素的变化的识别是用于静电分离技术的工业应用的关键问题。作者已经阐述了用于设定点识别和一个辊式电晕静电分离处理的鲁棒性的测试的过程。本文的目的是验证的相似的方法用于优化选择性使用自由下落摩擦电分离器粒状工业塑料废弃物的非导电性组分的分选。切碎的塑料废物的样品,其中含有50%的聚乙烯(PE)和50%聚氯乙烯(PVC)在定制设计的摩擦带电装置进行了处理:一个直径10厘米,长120厘米的PVC气缸,以可变的速度旋转。然后将带电颗粒在由两个垂直平板电极产生的电场分离,并且在三个隔室收集的:PE,中型和PVC。控制过程变量是PW缸的速度,摩擦带电过程的持续时间和样品的质量。几个单因素在-A-时间实验,后面两个因子设计(一个复合物中,其它分数),是基于以下三个步策略来执行:1)识别控制变量的变化的结构域; 2)发现该组点的最佳选择; 3)评估过程的鲁棒性,即,测试系统的性能是否仍然令人满意即使因素而变化稍微围绕该点。

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