Drilling process is one of the most important operations in aeronautic industry. It is performed on the wings of the aeroplanes and its main problem lies with the burr generation. At present moment, there is a visual inspection and manual burr elimination task subsequent to the drilling and previous to the riveting to ensure the quality of the product. These operations increase the cost and the resources required during the process. The article shows the use of data mining techniques to obtain a reliable model to detect the generation of burr during high speed drilling in dry conditions on aluminium Al 7075-T6. It makes possible to eliminate the unproductive operations in order to optimize the process and reduce economic cost. Furthermore, this model should be able to be implemented later in a monitoring system to detect automatically and on-line when the generated burr is out of tolerance limits or not. The article explains the whole process of data analysis from the data preparation to the evaluation and selection of the final model.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Data mining for quality control: Burr detection in the drilling process


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2011


    Format / Umfang :

    10 Seiten, 47 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Understanding Exit Burr in the Drilling Process

    Nichol, William | SAE Technical Papers | 2001


    Drilling Burr Characterization Using Semantic Differential Method

    Wei, Kuang C. / Furness, Richard J. | SAE Technical Papers | 1996


    Methods of burr measurement and burr detection

    Leopold,J. / Schmidt,G. / Fraunhofer IWU,Chemnitz,DE | Kraftfahrwesen | 2004


    Drilling burr characterization using semantic differential method

    Wei,K.C. / Furness,R.J. / Ford Motor,US | Kraftfahrwesen | 1996


    Retrofitting to Achieve Automated Assembly and Burr-Less Drilling

    Nolan, John / Mackay, Robert | SAE Technical Papers | 1998