Pedro José Arrazola

TL;DR: In this article, the state-of-the-art in predictive performance models for machining operations is presented, and a critical assessment of the relevant modelling techniques and their applicability and/or limitations for the prediction of the complex machining operation performed in industry.

TL;DR: In this paper, the machinability of near-beta titanium alloys like Ti555.3 compared with the commonly used Ti6Al4V was analyzed and a correlation between the mechanical properties of work material, tool wear, and component forces was found.

TL;DR: In this paper, a review of burr classifications along with the corresponding measurement technologies is described, and a number of case studies on burr formation, control and deburring along with their economic implications are presented.

TL;DR: In this paper, the effects of friction modeling at the tool-chip-workpiece interfaces on chip formation process in predicting forces, temperatures and other field variables such as normal stress and shear stress on the tool by using advanced finite element (FE) simulation techniques.

TL;DR: In this article, a tribometer is used to simulate a wide range of contact pressures and sliding velocities, similar to those occurring along the tool-work material interface in cutting.