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Simulation based model for tool life prediction in bevel gear cutting

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Abstract

Due to unpredictable tool life behavior in bevel gear cutting, unexpected production stops for tool changes occur. These lead to additional manufacturing costs. Because of its complexity, it is currently not possible to analyze the bevel gear cutting process sufficiently regarding tool life. This restriction leads to an iterative process design and determination of the ideal process parameters by using a trial-and-error approach. As a matter of fact, there is no concept to predict tool life in bevel gear cutting. Thus, a project has been initiated in order to develop a tool life model based on cutting simulation. This report presents the tool life model which combines a manufacturing simulation for bevel gear cutting with a regression model. The data of the regression model are determined by analogy trials. The combination of manufacturing simulation and regression model allows a local tool life prediction along the cutting edge.

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Acknowledgments

The investigations described in the present paper were conducted as a part of a project sponsored by Deutsche Forschungsgemeinschaft (DFG).

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Authors and Affiliations

  1. Chair for Machine Tools, Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany

    Christian Brecher, Markus Brumm & Ario Hardjosuwito

  2. Chair of Manufacturing Technology, Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany

    Fritz Klocke

Authors
  1. Christian Brecher
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  2. Fritz Klocke
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  3. Markus Brumm
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  4. Ario Hardjosuwito
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Corresponding author

Correspondence to Ario Hardjosuwito.

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Brecher, C., Klocke, F., Brumm, M. et al. Simulation based model for tool life prediction in bevel gear cutting. Prod. Eng. Res. Devel. 7, 223–231 (2013). https://doi.org/10.1007/s11740-012-0439-x

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  • DOI: https://doi.org/10.1007/s11740-012-0439-x

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