This data has been used for the validation of the software developed by DFKI in collaboration with IDEKO for the prediction of stability in robotic milling of aluminium parts, in the framework of COROMA research project funded by the European Union. www.coroma-project.eu The source of information is stability lobes obtained from FRFs obtained mixing by receptance coupling experimental FRFs of the robot, spindle and toolholder with FRFs of the tool obtained analitycally using beams theory. Real machinings have not been done since they would be very time consuming. Once the stability lobes where available random sampling has been done in the lobes between certain boundaries of axial depth of cut and spindle speed to represent machining with different conditions. The information contained here includes: - Data sets for different conditions, with tools of different diameters and different number of cutting teeth. (in the naming of the folder D represents diameter, Z represents number of teeth). - Most of the data sets also include figures with the milling stability lobe charts for different radial depths of cut and different diameters and number of teeth. In these figures the random sampling representing machining tests has been marked with a black X. - There are also versions of the data sets with different number of samples (20 or 40) in order to test the prediction algorithm with a different number of information. - In the data sets an extended version has been created, representing the know-how of the operator that if a machining is unstable all the machinings with higher axial depth of cut will be unstable, and if a machining is stable all the machinings with lower axial depth of cut will be stable. - Companion documents in PDF format in order to provide more detailed information on the datasets and results. Keywords: Milling, machining, vibration, chatter, stability, prediction, neural network, robot, robotic, AI, artificial intelligence. www.ideko.es www.dfki.de Asier Barrios IDEKO research centre Arriaga Kalea, 2 Elgoibar 20870, Spain Phone: +34 943748000 abarrios@ideko.es October 2019


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    Titel :

    Data for the prediction of chatter vibrations in robotic milling of aluminium parts based on previous experiences using neural network


    Beteiligte:
    Asier Barrios (Autor:in) / Alexander Fabisch (Autor:in)

    Erscheinungsdatum :

    2019-11-07



    Medientyp :

    Forschungsdaten


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




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