Compensation of billet variabilities through metamodel-based optimization in open die forging

Fays, Simon; Baudouin, Cyrille; Langlois, Laurent; Borsenberger, Marc; Balan, Tudor; Bigot, Régis

doi:10.1007/s00170-024-13392-3

Int J Adv Manuf Technol

2024

DOI: 10.1007/s00170-024-13392-3

|View full text |Cite

Compensation of billet variabilities through metamodel-based optimization in open die forging

Simon Fays,

Cyrille Baudouin,

Laurent Langlois

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 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Accurate real-time modeling for multiple-blow forging

Uribe,

Durand,

Baudouin

et al. 2024

Int J Mater Form

View full text Add to dashboard Cite

Numerical simulations are crucial for predicting outcomes in forging processes but often neglect dynamic interactions within forming tools and presses. This study proposes an approach for achieving accurate real-time prediction of forging outcomes. Initially, a simulation-based surrogate model is developed to replicate key process characteristics related to the billet, enabling prediction of geometry, deformation field, and forging load after an upsetting operation. Subsequently, this model is integrated with a mass-spring-damper model representing the behavior of forging machine and tools. This integration enables the prediction of blow efficiency and energy distribution after each blow, including plastic, elastic, damping, and frictional energy of the upsetting operation. The approach is validated by comparing predictions with experimental results. The coupled model outperformed Finite Element Method (FEM) predictions, exhibiting mean absolute errors (MAE) below 0.1 mm and mean absolute percentage errors (MAPE) below 1% in geometry predictions. Deformation field predictions showed errors below 0.05 mm/mm, and load-displacement curves closely matched experimental data. Blow efficiency predictions aligned well with experimental results, demonstrating a mean absolute error below 1.1%. The observed energy distribution correlated with literature findings, underscoring the model’s fidelity. The proposed methodology presents a promising approach for accurate real-time prediction of forging outcomes.

show abstract

Accurate real-time modeling for multiple-blow forging

Uribe,

Durand,

Baudouin

et al. 2024

Int J Mater Form

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.

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.

Compensation of billet variabilities through metamodel-based optimization in open die forging

Cited by 1 publication

References 22 publications

Accurate real-time modeling for multiple-blow forging

Accurate real-time modeling for multiple-blow forging

Contact Info

Product

Resources

About