On the machining induced residual stresses in IN718 nickel-based alloy: Experiments and predictions with finite element simulation. - Pedro José Arrazola; Aitor Kortabarria; Aitor Madariaga; J. A. Esnaola; E. Fernandez; C. Cappellini; Durul Ulutan; Tugrul Özel (Simul. Model. Pract. Theory, 2014)

Heat-flow determination through inverse identification in drilling of aluminium workpieces with MQL. - Unai Segurajauregui; Pedro José Arrazola (Prod. Eng., 2015)

Sensitivity analysis of material input data influence on machining induced residual stress prediction in Inconel 718. - Aitor Kortabarria; Igor Armentia; Pedro José Arrazola (Simul. Model. Pract. Theory, 2016)

A Novel Methodology for the Characterization of Cutting Conditions in Turning Processes Using Machine Learning Models and Acoustic Emission Signals. - Telmo Fernández de Barrena; Juan Luis Ferrando; Ander García; Pedro José Arrazola; José Manuel Abete; Diego Herrero (SOCO, 2021)

Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation. - Aitor Duo; Rosa Basagoiti; Pedro José Arrazola; Mikel Cuesta (Int. J. Comput. Integr. Manuf., 2022)

An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission Signals. - Antonio Nappa; Juan Luis Ferrando Chacón; Izar Azpiroz; Pedro José Arrazola (EANN, 2024)