As a way to manage neodymium-iron-boron (NdFeB) magnets wasted in end-of-life hard disk drives (HDDs), a waste characterization is needed prior to a recycling process. Due to their magnetic properties, NdFeB magnets are essential in technological applications nowadays, thus causing an increase in the industrial demand for rare earth metals. However, these metals have a short supply, since they are difficult to obtain from ores, creating a critical market. In this work, a study of the characterization of sintered neodymium-iron-boron magnets was undertaken by qualitatively and quantitatively uncovering the neodymium recovery potential from this type of electronic waste. From the collection and disassembly of hard disk drives, in which the magnet represents less than 3% of the total weight, an efficient demagnetization process was proceeded at 320°C. Then, the magnet was ground and screened for an X-ray diffraction (XRD) analysis, which showed the NdFeB tetragonal phase as the dominant constituent of the sample. An analysis was also carried out in a scanning electron microscope (SEM) and an inductively coupled plasma optical emission spectrometer (ICP-OES), where the magnet composition showed 21.5wt% of neodymium and 65.1wt% of iron, among other chemicals. This Nd content is higher than the one found in Nd ores, enhancing the recyclability and the importance of waste management.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.wasman.2017.01.032 | DOI Listing |
RSC Adv
January 2025
Department of Chemistry, Institute of Technical Education and Research, Siksha 'O' Anusandhan Deemed to Be University Bhubaneswar-751030 Odisha India
The widespread use of neodymium-iron-boron (NdFeB) magnets has raised concerns about the environmental impact of their disposal, prompting the need for sustainable recycling strategies. Traditional solvents used in recycling are toxic and flammable, making them risky to use. Ionic liquids are safer and greener options with low vapor pressure, high stability, and less flammability.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
Division of Electrical Engineering and Computer Science, Kanazawa University, Kakuma-machi, Kanazawa 920-1192, Japan.
The hard disk medium (HDM) with a carbon overcoat (COC) is a fundamental component of a hard disk drive. The conventional test for its corrosion durability, known as the "HOT/WET test," requires considerable time and effort and does not provide any local information about the corrosion. Here, we address this issue by employing open-loop electric potential microscopy (OL-EPM), a potential measurement technique based on atomic force microscopy (AFM), for corrosion inspection.
View Article and Find Full Text PDFPLoS One
December 2024
Persiaran Multimedia, Multimedia University, Cyberjaya, Malaysia.
The popularity of cloud computing (CC) has increased significantly in recent years due to its cost-effectiveness and simplified resource allocation. Owing to the exponential rise of cloud computing in the past decade, many corporations and businesses have moved to the cloud to ensure accessibility, scalability, and transparency. The proposed research involves comparing the accuracy and fault prediction of five machine learning algorithms: AdaBoostM1, Bagging, Decision Tree (J48), Deep Learning (Dl4jMLP), and Naive Bayes Tree (NB Tree).
View Article and Find Full Text PDFAnn N Y Acad Sci
December 2024
Department of Mathematics, The University of Arizona, Tucson, Arizona, USA.
Evidence shows that gorgonians are more resistant to ocean acidification and rising temperatures than hard corals and are vital to reef health and the reestablishment of disrupted coral reef communities. Gorgonian coral's resilience and its diversity of morphology and environment make it well-suited as a model organism for bioinspired design applied to particle capture. We focus on flow near the polyps, using an updated form of the immersed boundary method to model the fluid-structure interaction of the flexible polyps and the surrounding ocean water.
View Article and Find Full Text PDFBioinformatics
November 2024
Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, United States.
Motivation: Burrows-Wheeler Transform (BWT) is a common component in full-text indices. Initially developed for data compression, it is particularly powerful for encoding redundant sequences such as pangenome data. However, BWT construction is resource intensive and hard to be parallelized, and many methods for querying large full-text indices only report exact matches or their simple extensions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!