A comprehensive review of current and emerging binder technologies for energy storage applications

S Sudhakaran, TK Bijoy - ACS Applied Energy Materials, 2023 - ACS Publications
Binders play a pivotal role in the process of electrode fabrication, ensuring the cohesion and
stability of active materials, conductive additives, and electrolytes within battery systems …

Toward high-performance energy and power battery cells with machine learning-based optimization of electrode manufacturing

M Duquesnoy, C Liu, V Kumar, E Ayerbe… - Journal of Power …, 2024 - Elsevier
The optimization of the electrode manufacturing process is important for upscaling the
application of Lithium-Ion Batteries (LIBs) to cater for growing energy demand. LIB …

Surrogate optimization of lithium-ion battery coating process

SK Seo, H Kim, A Samadi, M Atwair, J Hong… - Journal of Cleaner …, 2024 - Elsevier
In the Li-ion battery manufacturing process, uniform coating thickness is essential for
ensuring high-quality electrode production. Elevated or scalloped coating edges are often …

[HTML][HTML] Drying and calendering of Lithium Ion battery electrodes: A combined simulation approach

M Lippke, T Ohnimus, F Frankenberg, C Schilde… - Powder Technology, 2024 - Elsevier
In drying of battery electrodes, high drying speeds are desirable but lead to binder
segregation resulting in lower adhesion strength and poorer electrochemical performance …

A comprehensive setting method for the optimal setpoint of controlled variables in the zinc smelting solution purification process under multi-variation inlet status

X Zhang, Y Li, Y Luo, B Sun, C Yang - Chemical Engineering Science, 2024 - Elsevier
The zinc smelting solution purification process regulates the oxidation-reduction reactions
(characterized by the oxidation-reduction potential (ORP)) by controlling the amount of zinc …

Labeling Consistency Test of Multi-Label Data for Aspect and Sentiment Classification Using the Cohen Kappa Method.

AA Chamid, R Kusumaningrum - Ingénierie des Systèmes d …, 2024 - search.ebscohost.com
Classification is part of machine learning, and developing it requires labeled data. Most data
is available in an unlabeled form. Data labeling is a step that researchers must take. Good …

Data-Driven Decision-Support for Maintenance Operations in Stacking Battery Production

SU Jannu, YM Jagadish - 2024 - odr.chalmers.se
In the contemporary landscape of battery production, the integration of data-driven predictive
maintenance strategies stands out as a pivotal enhancement to operational efficiency and …