crossrefSustainability2025-08-21Cited by 2
Sustainable Design and Lifecycle Prediction of Crusher Blades Through a Digital Replica-Based Predictive Prototyping Framework and Data-Efficient Machine Learning
Hilmi Saygin Sucuoglu, Serra Aksoy, Pinar Demircioglu, Ismail Bogrekci
Sustainable product development demands components that last longer, consume less energy, and can be refurbished within circular supply chains. This study introduces a digital replica-based predictive prototyping workflow for industrial crusher blades that meets these goals. Six…