Franco Lombardi

TL;DR: In this article, a review of the literature on PLM from an operational point of view with the objective to help companies to answer to the main market needs is presented. But, even if a company actually wishes to innovate its processes for improving the way to account for project management, it will face relevant difficulties to deal with different guidelines, tools and methods currently addressing the matter from various points of view.

TL;DR: This work provides a basic framework for creating a tool to monitor the wear level, preventing the breakdown, of a generic manufacturing tool, in order to improve human-machine interaction and optimize the production process.

TL;DR: In this paper, the effects of clamping force, welding current, and welding time on the microstructure, shear tension strength, and fracture of welded samples were investigated by evaluating the effect of different resistance spot welding of twinning induced plasticity (TWIP) and quenching and partitioning (Q&P) steel grades.

TL;DR: The aim of this paper is to present a data-driven framework to estimate the tool wear status and predict its remaining useful life by using machine learning techniques.

TL;DR: In this article, the welding current, the electrode tip voltage and the electrical resistance of sheet stack were monitored in order to detect any metal expulsion and to evaluate its severity, as well as to clarify its effect on spot strength.