APP-PHSDASOct 7, 2019

Ultrasonic identification technique in recycling of lithium ion batteries

arXiv:2001.09942v15 citations
Originality Synthesis-oriented
AI Analysis

This addresses the need for cost-effective recycling techniques for lithium-ion batteries, though it appears incremental as it focuses on a specific identification method.

The paper tackled the problem of separating materials in lithium-ion battery recycling by investigating ultrasonic identification, finding that hydrophobic carbon particles (C65) produce a higher harmonic response under ultrasound compared to other cathode materials like PVDF and NMC.

The recycling of lithium ion batteries has been mentioned as one of the near-future waste management necessities. In order for recycling to be economically viable, straightforward and cost effective techniques need to be developed to separate the individual materials in a composite electrode. Ultrasonic separation might be such a technique, provided that lithium ion battery microparticles respond predictably to a sound field. Lithium ion battery cathodes contain hydrophobic carbon. Owing to the incompressibility of a solid, the thin gaseous layer surrounding these hydrophobic particles must oscillate asymmetrically, when subjected to ultrasound. Consequently, the harmonic content of the ultrasound signal radiated from hydrophobic microparticles must be higher than that from hydrophilic microparticles with the same size. The question of whether the harmonic signal response generated by physical hydrophobic microparticles present in lithium ion battery cathodes is higher than the harmonic response of other component materials in the cathode is the focus of this paper. The scattering response of cathode materials subjected to 1-MHz ultrasound was measured and compared. The cathode materials C65, PVDF, and NMC respond differently to 1-MHz ultrasound. The superharmonic response of C65 has been attributed to asymmetric oscillations owing to its hydrophobicity. In addition, C65 hydrophobic microparticles might be suitable candidates for harmonic imaging.

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