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April 27, 2026Data in Brief2 citationsOpen Access

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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EGErdogan GukHTHamidreza Farhadi TolieMNMona Faraji Niri

Key Points

  • To present a dataset for monitoring the structural recovery behavior of NMC-622 cathode slurries after mixing.
  • Ultrasonic pulse-echo dataset acquired from NMC-622 cathode slurries under static conditions.
  • Slurries prepared at varying solid contents (63-69 wt.%) and monitored via a 5 MHz contact transducer.
  • Features such as reflection amplitude and time-of-flight were extracted from recorded A-Scan waveforms.
  • Dataset provides continuous A-Scan waveforms representing the evolving acoustic response over time.
  • Intended for benchmarking signal processing pipelines and developing machine learning models for slurry analysis.
  • Includes a lightweight script for visualization and analysis, promoting reproducible research.

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.

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Cite This Study

Guk et al. (2026) studied this question.

synapsesocial.com/papers/69eefcaefede9185760d39a2https://doi.org/10.1016/j.dib.2026.112795
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