2020
DOI: 10.1016/j.resconrec.2020.104843
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A recycling process for thermoelectric devices developed with the support of statistical entropy analysis

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Cited by 11 publications
(10 citation statements)
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References 34 publications
(44 reference statements)
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“…In order to make the music course teaching level evaluation have higher reliability, the weights of different evaluation indicators should be calculated and analyzed. Entropy weight method has good objectivity and practicality [14][15][16][17][18][19][20][21], therefore, this paper adopts entropy weight method to obtain the weights of the evaluation indicators for the teaching level of music courses, and the specific realization process is as follows.…”
Section: Indicator Weight Acquisition Based On Entropy Weight Methodsmentioning
confidence: 99%
“…In order to make the music course teaching level evaluation have higher reliability, the weights of different evaluation indicators should be calculated and analyzed. Entropy weight method has good objectivity and practicality [14][15][16][17][18][19][20][21], therefore, this paper adopts entropy weight method to obtain the weights of the evaluation indicators for the teaching level of music courses, and the specific realization process is as follows.…”
Section: Indicator Weight Acquisition Based On Entropy Weight Methodsmentioning
confidence: 99%
“…Mechanical cutting and milling of the thermoelectric materials has been used to liberate different fractions, which can then be size separated. 16 However, processes reported so far result in dissolution of the TEGs or reduction of their size, therefore re-processing is required to remanufacture the TEG from the obtained recycled materials. Some hydrometallurgical methods for recycling TEGs have been reported in the literature, such as non-selective leaching with hydrochloric, nitric, or sulphuric acids, followed by the use of hydroxide and hydrazine to precipitate the bismuth and tellurium powders, or directly regenerate new forms of bismuth telluride.…”
Section: Introductionmentioning
confidence: 99%
“…Statistical entropy analysis (SEA) considers mass fractions as probabilities in the Shannon entropy function to quantify the quality of material flow systems. Statistical entropy-based methods have also been studied for (thermo)­electric applications. , Roithner and Rechberger (2020) and Roithner et al (2022) proposed a product-inherent recycling effectiveness indicator based on relative statistical entropy. Nimmegeers and Billen (2021) illustrated how statistical entropy-based definitions can be used to quantify the separation complexity of mixed plastic waste streams on real data.…”
Section: Introductionmentioning
confidence: 99%
“…Nimmegeers and Billen (2021) 11 illustrated how statistical entropy-based definitions can be used to quantify the separation complexity of mixed plastic waste streams on real data. Rechberger's approach computes the statistical entropy of one substance (or material) in a set of goods (or flows), while Shannon's approach (as followed, for instance, by Velaźquez-Martinez et al, 7 Nimmegeers et al, 4 and Roithner et al 10 ) computes the substance-based statistical entropy of an exclusive list of substances (or materials) in one good (or flow). In this paper, we use the latter approach.…”
Section: ■ Introductionmentioning
confidence: 99%