A new method of the process planning for end-milling operation considering product design constraints in this study. In our previous study, the process planning system, in which the Total Removal Volume is divided by the planes parallel with the XY, YZ or ZX planes to analyze machining sequence from top to bottom of the target product, is proposed. In this study, the process planning system, in which the Total Removal Volume is divided by all planes (including slope planes) existing on the target product, is proposed. Furthermore, the product design constraints or the designer's intention such as separate through holes which have the same central axis to be slide bearing is considered. A case study was conducted and the result showed that the proposed method can generate efficient multiple process plans for the machining operation. These multiple process plans or machining sequences are available to select adaptively the most suitable process plan or machining sequence under the several conditions such as the machine tool to be used and the product design constructions.

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Dynamic model of muscle fatigue and recovery considering the roles of slow-twitch and fast-twitch muscles (Validation with a pulling motion

In order to realize autonomous machining, it is necessary not only to automate the preparation tasks for machining but also to verify the machining results during the process. Therefore, this study realized the automation of planning for on-machine measurement, where measurement is conducted at the necessary time during the machining process based on process planning. Furthermore, when a machining abnormality is detected based on the measurement results, the proposed system automatically judges whether to stop machining or to re-machine the affected region. In the proposed system, measurement is conducted after the machining of a region that has an influence on the next machining process according to the association chart, which shows the subordination relationships of the geometrical constraints among removal volumes. If measurements indicate excess cutting, the system immediately stops machining because it is impossible for the workpiece to be modified. If measurements indicate incomplete cutting, the system re-machines the affected region and continues the machining process by recursively applying the NC program for the target removal volume. A case study was conducted in order to validate the proposed method of automated planning of on-machine measurement and re-machining. The result showed that the proposed system can automatically determine whether to stop or continue machining according to the measurement results.