Abstract
The acquisition of in-process measurement data for the optimization of machined components is carried out using different measurement principles. Depending on the required information content, analyses are carried out by specialized production engineers under production-related or laboratory conditions. However, due to the complex interrelationships of different process parameters, optimization must be carried out under real production conditions. In order to achieve this, process analyses carried out on a milling machine are presented, which are performed by means of internal sensors. For use in the industrial environment, the user-oriented processing of this kind of measurement data is an essential requirement. The combination of machine-internal measured values and additional machine parameters enables an efficient and objective process optimization by qualified skilled workers on workshop level.
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Mattes, A., Gericke, T. (2020). Operating Assistance System for Machine Tools. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1207. Springer, Cham. https://doi.org/10.1007/978-3-030-51369-6_5
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DOI: https://doi.org/10.1007/978-3-030-51369-6_5
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