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This work was supported by the Spanish Ministerio de Economia y Competitividad [Ministry of Economy and Competitiveness] through its DPI2012-35504 CONMICRO research project. The authors wish to thank the reviewers for their invaluable comments and suggestions.
Online detection of run out in microdrilling of tungsten and titanium alloys
Publicated to:International Journal Of Advanced Manufacturing Technology. 74 (9-12): 1567-1575 - 2014-10-01 74(9-12), DOI: 10.1007/s00170-014-6091-1
Authors: Beruvides, Gerardo; Quiza, Ramon; Rivas, Marcelino; Castao, Fernando; Haber, Rodolfo E.;
Affiliations
Abstract
Run out is one of the major problems in microdrilling processes, causing unexpectedly short tool life, sudden breakage, and dimensional inaccuracy. In this study, a two-step monitoring system for run out detection is proposed. The first step uses the fast Fourier transform for extracting features from the online measured force signals. In the second step, a neural network-based model predicts the process condition from the previously obtained features. The model was trained and tested by using force signals obtained from tungsten and titanium alloys, which are widely applied in electronic and aerospace industries. A 0.1-mm-diameter microdrill was used in the experimental study, and three different feed rates were applied for each material. The trained model was validated with data that was not used in the training process. In this validation, the system was able to detect more than 70 % of the run out conditions with less than 10 % of false detections. For microdrills, detecting and reducing run out can yield considerable gains in tool life and productivity.
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Bibliometric impact. Analysis of the contribution and dissemination channel
The work has been published in the journal International Journal Of Advanced Manufacturing Technology due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2014, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Software. Notably, the journal is positioned above the 90th percentile.
From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 5.25, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)
Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-07, the following number of citations:
- WoS: 12
- Scopus: 5
Impact and social visibility
Leadership analysis of institutional authors
This work has been carried out with international collaboration, specifically with researchers from: Cuba.
There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (BERUVIDES LOPEZ, GERARDO) and Last Author (Haber, Rodolfo E).
the author responsible for correspondence tasks has been Haber, Rodolfo E.