2026-04-21T03:10:44Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/14772025-06-12T14:11:58Zcom_20.500.11984_1234col_20.500.11984_1239

00925njm 22002777a 4500 dc Duo, Aitor author Basagoiti, Rosa author ARRAZOLA, PEDRO JOSE author Aperribay Zubia, Javier author CUESTA ZABALAJAUREGUI, MIKEL author 2019 This directory contains the raw data acquired by Mondragon Unibertsitatea during the execution of drilling tests. These data were used to obtain the results presented in the article "The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process" published in International Journal of Advanced Manufacturing Technology on January 2019. Drilling is one of the most critical processes in the machining sector. This process is carried out in the last phases of the machining of a part, therefore, an almost finished part could be destroyed if the proper conditions are not met. Tool wear is one of the biggest problems in machining processes having an increasingly negative impact on the machined part. In order to carry out a study on the effect that tool wear has on the different signals acquired during the process and identify the sensitivity of each of the signals with respect to the others, drilling tests were carried out at different levels of tool wear. This document details the acquired signals and their organization in this directory. https://hdl.handle.net/20.500.11984/1477 Drilling test data from new and worn bits