Roger Serra

TL;DR: In this paper, the vibratory signatures produced during a turning process were measured by using a three-axis accelerometer, and the mean power analysis was proposed to extract an indicator parameter from the vibration responses, to describe the state of the cutting tool over its lifespan.

TL;DR: In this article, a relationship between the acquired signals variation and the tool wear in high speed milling process is established, which is based on both temporal and frequential signal processing techniques in order to extract the relevant indicators of cutting tool state.

TL;DR: In this article, an approach of inverse damage detection and localization based on model reduction is presented, where an optimization algorithm is used to minimize the cost function expressed as the normalized difference between a frequency vector of the tested structure and its numerical model.

TL;DR: In this paper, the authors compared experimental and numerical simulations of liquid film formation for different rotating velocities of a milling tool and found that good agreement was observed between the numerical and the experimental measurements from an estimated numerical film thickness border.

TL;DR: In this article, an investigation based on four complementary approaches for tool wear assessment is proposed: the approach 1 is a general failure times approach (statistical reliability based on flank wear threshold hitting times), the approach 2 is based on power consumption monitoring, the approach 3 based on vibration signal analysis, and the approach 4 based on the evolution of flank wear for each insert.