Review of Silicon Recovery from Diamond Wire Saw Silicon Powder Waste Based on Hydrometallurgical Process.

Baoshan Xiong, Shifeng Han, Shicong Yang, Keqiang Xie, Kuixian Wei, Wenhui Ma

Abstract readReview

In one paragraph

Review in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Baoshan XiongFaculty of Metallurgical and Energy Engineering/National Engineering Research Center of Vacuum Metallurgy, Kunming University of Science and Technology, Kunming 650093, China.

Shifeng HanFaculty of Metallurgical and Energy Engineering/National Engineering Research Center of Vacuum Metallurgy, Kunming University of Science and Technology, Kunming 650093, China.

Shicong YangFaculty of Metallurgical and Energy Engineering/National Engineering Research Center of Vacuum Metallurgy, Kunming University of Science and Technology, Kunming 650093, China.

Keqiang XieFaculty of Metallurgical and Energy Engineering/National Engineering Research Center of Vacuum Metallurgy, Kunming University of Science and Technology, Kunming 650093, China.

Kuixian WeiFaculty of Metallurgical and Energy Engineering/National Engineering Research Center of Vacuum Metallurgy, Kunming University of Science and Technology, Kunming 650093, China.

Wenhui MaFaculty of Metallurgical and Energy Engineering/National Engineering Research Center of Vacuum Metallurgy, Kunming University of Science and Technology, Kunming 650093, China.

Funding

Key Science and Technology Specific Projects of Yunnan Province 202202AG050012National Natural Science Foundation of China 52204313Yunnan Fundamental Research Projects 202101BE070001-010Yunnan Major Scientific and Technological Projects 202202AB080008

6 · The paper itself

Abstract

The photovoltaic (PV) industry is developing rapidly to support energy transformation and emission reduction. In the whole PV industry chain, diamond wire saw silicon powder (DWSSP) waste is the most promising secondary resource for recycling high-purity silicon. DWSSP mainly contains metal impurities, and the treatment process based on hydrometallurgy can effectively remove metal impurities. The current DWSSP recovery process was divided into three categories: direct acid leaching, pyrometallurgy followed by acid leaching, and acid leaching followed by pyrometallurgy. This paper gives a comprehensive overview of these three purification processes from the aspects of impurity removal and recovery yield. The results suggest that acid leaching followed by pyrometallurgy is currently the most effective process for removing metal impurities from DWSSP. Moreover, this study underscores the potential for enhancing the purity of reclaimed silicon through the application of external field reinforcement, oxygen-regulated acid leaching, and surfactant-facilitated organic acid leaching and points out the development direction for promoting silicon recovery from DWSSP.

Indexed as

diamond wire saw silicon powder wastehydrometallurgical purificationrecycling purification cycleremoval impurity mechanism

Identifiers

PMID39683804

DOI10.3390/molecules29235645

PMCPMC11643869

What OpenQuestion holds

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.