Enhancing battery pack safety against cone impact using machine learning techniques and Gaussian noise

Zhang, Qian; Han, Shaoyong; Abed, Azher M.; Basem, Ali; El-Sharkawy, Mohamed R.; Salah, Bashir; Mahariq, Ibrahim

doi:10.1016/j.psep.2024.08.047

Process Safety and Environmental Protection

2024

DOI: 10.1016/j.psep.2024.08.047

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Enhancing battery pack safety against cone impact using machine learning techniques and Gaussian noise

Qian Zhang,

Shaoyong Han,

Azher M. Abed

et al.

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Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

Malashin,

Masich,

Tynchenko

et al. 2024

Polymers

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The emergence of 3D and 4D printing has transformed the field of polymer composites, facilitating the fabrication of complex structures. As these manufacturing techniques continue to progress, the integration of machine learning (ML) is widely utilized to enhance aspects of these processes. This includes optimizing material properties, refining process parameters, predicting performance outcomes, and enabling real-time monitoring. This paper aims to provide an overview of the recent applications of ML in the 3D and 4D printing of polymer composites. By highlighting the intersection of these technologies, this paper seeks to identify existing trends and challenges, and outline future directions.

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Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

Malashin,

Masich,

Tynchenko

et al. 2024

Polymers

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Enhancing battery pack safety against cone impact using machine learning techniques and Gaussian noise

Cited by 1 publication

References 90 publications

Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

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