TitleDrilling test data from new and worn bits
CitationDUO ZUBIAURRE, Aitor et al. Drilling test data from new and worn bits [Dataset]. 2019. http://hdl.handle.net/20.500.11984/1477
This section describes the data acquired during drilling tests, describing the setup and organization of the data. In this directory are not all the data used for the publication of the mentioned article, but the majority of them. Experimental Setup Two different tool geometries were used, R204.6D and BH04.5D from toolmaker Kendu and the tests were carried out on a Lagun vertical machining centre. The material used was 35CrMo4LowS. A kistler rotational dynamometer was installed to acquire the feed force and cutting torque. Along with these signals were acquired other signals provided by the machine that will be described below. Fig. 1 shows the experimental setup used for the execution of the experiments. The output of the rotational dynamometer amplifier was connected to one of the analog inputs of the CNC so these signals were acquired together with the internal signals of the machine at the same sampling rate. For each of the tools used during the tests, 5 holes were drilled. Table 1 shows the cutting conditions for each of them. For each tool geometry the cutting conditions were fixed while the parameter that was modified was the tool wear. Totally, the data consists of 90 csv files, each of them corresponds to a hole made at a certain level of tool wear. The signals that can be found in these files are the internal signals of the machine, the thrust force and the cutting torque. All signals were acquired at -Fs= 250 Hz; T=4 ms-.
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 s ... [+]
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. [-]
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