Budget Amount *help |
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2018: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2017: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
Fiscal Year 2016: ¥7,930,000 (Direct Cost: ¥6,100,000、Indirect Cost: ¥1,830,000)
|
Outline of Final Research Achievements |
A novel model-based monitoring technology in cutting process is proposed to establish advanced next-generation intelligence technology. In the proposed method, based on theoretical analysis technology of cutting process and measurement / estimation technology of machine tools, a new identification of cutting process parameters and dynamics parameters is automatically made. These parameters are evaluation indices of the machining system. Developed analysis models representing the basic milling process were verified through a series of cutting experiments. Using only the internal information of the CNC, without human manual operations, the parameters are identified. With the identified parameters, tool life and processing accuracy are evaluated. The developed technology is also useful to develop next-generation intelligence technology that automatically estimates process stability.
|