Dataset of pulse – echo ultrasonic a – scan signals for derived recovery features of NMC – 622 cathode slurries during post – mixing structural evolution

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Authors: Erdogan Guk, Hamidreza Farhadi Tolie, Mona Faraji Niri, James Marco
Cited by: 2
References: 8

Abstract

This data article presents an open ultrasonic pulse - echo dataset acquired from NMC - 622 cathode slurries monitored under static conditions to characterise their post - mixing structural recovery behaviour. Slurries were prepared at varying solid contents of 63, 65, 67 and 69 wt.% and transferred into a fixed test container for ultrasonic monitoring. A 5 MHz contact transducer was used to record continuous A - Scan waveform under consistent acquisition settings (raw time - domain signals paired with frequency - domain representation). From each waveform, reflection amplitude and time - of - flight (ToF) features extracted from the slurry - air interface echo provides a compact representation of evolving acoustic response over time. The dataset is intended for benchmarking of signal processing pipelines, development of physics - informed feature extraction, and machine - learning models for slurry metrology and coating readiness assessment. By Packing signals, minimal metadata, and lightweight visualisation and analysis script, the resources enable reproducible reuse across materials - processing and signal - processing communities.

Fields of Study & Subjects

Mineral Processing and Grinding Ultrasound and Cavitation Phenomena Anodic Oxide Films and Nanostructures

Publication details

Journal / source
Data in Brief
Publisher
Elsevier BV
Volume
66
Pages
112795–112795
Publication date
24 April 2026
Language
EN