In order to achieve high precision machining and high productivity, it is necessary to optimize machining data for a machine tool to be used, its control system, and shapes to be machined. Machining data are usually not optimized because it is generated by the CAM system as NC data based on general information. In the conventional process chain, even if the machining data is properly improved at the production site, there is no mechanism to reflect that in the previous process, so that the improvement information is not utilized. In this study, a shared database and a data model to share and inherit information in all processes from design to production is proposed in order to generate optimized machining data for the target machine tool and machining shape. The shared database and the data model enable non-expert operators to generate high-quality machining data like experts. In addition, it is also possible to reuse the information on the modified cutting conditions improved by experts at the machining site via a shared database. The effectiveness of the proposed shared database and data model is confirmed by experiments.
|ジャーナル||Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering|
|出版ステータス||Published - 2020|
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