Process control and energy saving in the ladle stage of a metal casting process through physics-based and ANN-based modelling approaches

Mastrullo, Rita; Mauro, Alfonso William; Pelella, Francesco; Viscito, Luca

doi:10.1016/j.applthermaleng.2024.123135

Applied Thermal Engineering

2024

DOI: 10.1016/j.applthermaleng.2024.123135

|View full text |Cite

Process control and energy saving in the ladle stage of a metal casting process through physics-based and ANN-based modelling approaches

Rita Mastrullo,

Alfonso William Mauro,

Francesco Pelella

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Optimizing neural network models for predicting nuclear reactor channel temperature: A study on hyperparameter tuning and performance analysis

Uzun,

Yildiz,

Arslantaş

2024

Nuclear Engineering and Design

View full text Add to dashboard Cite

Optimizing neural network models for predicting nuclear reactor channel temperature: A study on hyperparameter tuning and performance analysis

Uzun,

Yildiz,

Arslantaş

2024

Nuclear Engineering and Design

View full text Add to dashboard Cite

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.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Process control and energy saving in the ladle stage of a metal casting process through physics-based and ANN-based modelling approaches

Cited by 1 publication

References 45 publications

Optimizing neural network models for predicting nuclear reactor channel temperature: A study on hyperparameter tuning and performance analysis

Optimizing neural network models for predicting nuclear reactor channel temperature: A study on hyperparameter tuning and performance analysis

Contact Info

Product

Resources

About