304 エンドミル加工における切削抵抗のモデルベースド学習制御

概要

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To optimize the machining productivity without sacrificing the tool life, the optimal design of cutting conditions is a critical issue. In particular, the practical importance to control the cutting force in end milling processes has been widely recognized. This paper presents a model-based feedforward control scheme of cutting forces with an iterative learning algorithm. By using the initial process model provided by the database, the feedrate profile is optimized such that the cutting force is controlled at the desired level along the given tool path. The process model is updated at each machining cycle, and then the control performance is improved in an iterative learning manner. As a practical application of the cutting force control, the proposed approach will be implemented in canned milling cycles. By using the corner rounding as an application example, the practical applicability and effectiveness of the proposed approach are verified in experimentation.
社団法人日本機械学会の論文