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DETECTION OF WEAR PARAMETERS USING EXISTING SENSORS IN THE MACHINES ENVIRONMENT TO REACH HIGHER MACHINE PRECISION
Author(s) -
Ricarda Schmitt,
Robert Decressin,
Franz Dietrich,
Klaus Dröder
Publication year - 2018
Publication title -
journal of machine engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 7
eISSN - 2391-8071
pISSN - 1895-7595
DOI - 10.5604/01.3001.0012.0935
Subject(s) - process (computing) , machine tool , key (lock) , task (project management) , computer science , quality (philosophy) , reliability engineering , engineering , mechanical engineering , systems engineering , philosophy , computer security , epistemology , operating system
This paper presents methods to plan predictive maintenance for precision assembly tasks. One of the key aspects of this approach is handling the abnormalities during the development phase, i.e. before and during process implementation. The goal is to identify abnormalities which are prone to failure and finding methods to monitor them. To achieve this, an example assembly system is presented. A Failure Mode and Effects Analysis is then applied to this assembly system to show which key elements influence the overall product quality. Methods to monitor these elements are presented. A unique aspect of this approach is exploring additional routines which can be incorporated in the process to identify machine specific problems. As explained within the paper, the Failure Mode and Effects Analysis shows that the resulting quality in a case study from a precision assembly task is dependent on the precision of the rotational axis. Although the rotational axis plays a significant role in the resulting error, it is hard to explicitly find a correlation between its degradation and produced parts. To overcome this, an additional routine is added to the production process, which directly collects information about the rotational axis. In addition to the overall concept, this routine is discussed and its ability to monitor the rotational axis is confirmed in the paper.

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