A Research on the Analysis and Design of CNC Servo System Considering the Machining Process
Project/Area Number |
11650125
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
機械工作・生産工学
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Research Institution | KYOTO UNIVERSITY |
Principal Investigator |
MATSUBARA Atsushi Kyoto University, Graduate School of Eng., Associate Professor, 工学研究科, 助教授 (80243054)
|
Co-Investigator(Kenkyū-buntansha) |
KAKINO Yoshiaki Kyoto University, Graduate School of Eng., Professor, 工学研究科, 教授 (00026204)
|
Project Period (FY) |
1999 – 2000
|
Project Status |
Completed (Fiscal Year 2000)
|
Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2000: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 1999: ¥2,300,000 (Direct Cost: ¥2,300,000)
|
Keywords | Cutting Force / Servo System / Machining Model / CNC Machine Tools / Adaptire Control / 工作機械 / 送り駆動系 / エンドミル加工 |
Research Abstract |
Fundamental studies are conducted to analyze and synthesize the CNC servo system considering the machining process. To this end the simultaneous model which includes the CNC servo model as well as machining model (cutting force model) is established and used for constructing the adaptive process controller, which regulates the cutting force under the various contouring paths. 1. The geometrical interference between endmill and workpieces is analyzed, and a quadratic polynomial model was proposed for cutting forces based on response surface methodology by two variables of the engagement angle of cutting tool and the maximum undeformed chip thickness. The model was examined on various cutting tests and found to be effective to predict the cutting forces. 2. A servo model are constructed by considering 2 axis synchrous motion and feedrate override function. Then a simultaneous model is constructed and its prediction performances are checked. 3. By using the simultaneous model, an adaptive control system is developed and simulated which regulates the cutting forces in end milling process. PI control is found to be effective by simulation and off line gain tuning is conducted. The control system designed by simulation is implemented and found to be effective on actual cutting tests in an intelligent machining center.
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Report
(3 results)
Research Products
(7 results)