The rapid growth of deep learning research, including within the field of computational
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …

The article provides a comprehensive review of the latest developments in the field of laser
surface hardening (LSH) and its modeling techniques. LSH is a crucial process for …

Shot-peening is a mechanical surface treatment widely employed to enhance the fatigue life
of metallic components by generating compressive residual stress fields below the surface …

Simulation-based engineering has been a major protagonist of the technology of the last
century. However, models based on well established physics fail sometimes to describe the …

This work presents an interpretability study with XAI tools to explain an XGBoost model for
hardness prediction in the simultaneous double-frequency induction hardening …

This paper presents a methodological framework for training, self-optimising, and self-
organising surrogate models to approximate and speed up multiobjective optimisation of …

Induction hardening is a heat surface treatment technique widely employed for steel
components in order to improve their fatigue life without affecting the metallurgy of the bulk …

Inverse problems can be challenging and interesting to study in the context of metallurgical
processes. This work aims to carry out a method for inverse modeling for simultaneous …

This paper presents the development of a piece of induction hardening equipment based on
the foundations of the design, starting from zero. It was intended for steels in general, and …

Neural networks have recently been employed as material discretizations within adjoint
optimization frameworks for inverse problems and topology optimization. While …