Numerical simulations are crucial for predicting outcomes in forging processes but often
neglect dynamic interactions within forming tools and presses. This study proposes an …

Effective data reduction techniques are crucial for enhancing computational efficiency in
complex industrial processes such as forging. In this study, we investigate various …

This paper introduces a multi-objective optimization problem (MPO) for the forming process
parameters of disc forgings using grey relational analysis (GRA) and the response surface …

Intelligent monitoring and maintenance protocols are undoubtedly crucial for improving
manufacturing processes. Accordingly, machine learning techniques and predictive control …

Abstract Space nuclear reactors provide continuous, stable, and powerful energy supply for
long-term space exploration missions, their operation being independent of sunlight …

This article presents a two-step method to enhance metal-forming predictions by integrating
Virtual Reality (VR) into Digital Twin models, focusing on single-blow cold copper upsetting …

In the context of certain metallic alloys, the conformity of the product depends on its
metallurgical structure. Addressing this, the implementation of a real-time monitoring system …