[HTML][HTML] Simulation based model for tool life prediction in bevel gear cutting
C Brecher, F Klocke, M Brumm, A Hardjosuwito - Production Engineering, 2013 - Springer
C Brecher, F Klocke, M Brumm, A Hardjosuwito
Production Engineering, 2013•SpringerDue 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 …
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 …
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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