Online Fuzzy Intelligent Control Based on Resultant Cutting Force in the End Milling

Mao Yue Li; Hong Ya Fu; Zhen Yu Han

doi:10.4028/www.scientific.net/AMR.219-220.61

Paper Titles

The Analysis and Avoidance of Concurrent Processes Deadlock
p.45

Three-Dimensional Sonar Imaging Software on the DSP
p.49

K-Connected Target Coverage Problem Based on Cliffford Algebra in Wireless Sensor Networks
p.53

Anti-Jamming and LPI Radar with Spread Spectrum Technology
p.57

Online Fuzzy Intelligent Control Based on Resultant Cutting Force in the End Milling
p.61

Self-Embedding Watermark for Image Restoration Based on Repeat Correcting Code
p.66

Relationship between Riverway's Fractal Dimension and River Flood of the Lower Yellow River
p.71

Hardware Design with Mechatronics Method for Real-Time PCRs
p.76

The Research of Simulation of Transport Process
p.80

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220Online Fuzzy Intelligent Control Based on...

Online Fuzzy Intelligent Control Based on Resultant Cutting Force in the End Milling

Abstract:

To improve production quality and reduce machining time, machining parameters need to be monitored and adjusted automatically in milling. An integrated controller which is modular, configurable and based on OMAC, is established. The hardware platform, resultant cutting force constraint and its fuzzy control rules have been introduced in detail. In the fuzzy controller designed, two inputs and one output are used with five fuzzy sets for the controller, and the output rate of feed-rate can be changed from 50% to 200%. This controller has the abilities of reducing fluctuation range of cutting force, adjusting feed-rate intelligently, which is a part of CNC system. The experiment results show it can realize the real time status monitoring with this system, reduce the cutting force fluctuation, and adjust the feed-rate intelligently during machining.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

61-65

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.61

Citation:

Cite this paper

Online since:

March 2011

Authors:

Mao Yue Li, Hong Ya Fu, Zhen Yu Han

Keywords:

End Milling, Intelligent Control, OMAC, Online, Resultant Cutting Force, Variable Feed-Rate

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Rida T. Faroukit, Jairam Manjunathaiaht, Sungchul Jee: Variable feed-rate CNC interpolators for constant material removal rates along Pythagorean-hodograph curves. Computer-Aided Design. Vol 30, No. 8 (1998), pp.631-640.

DOI: 10.1016/s0010-4485(98)00020-7

Google Scholar

[2] S. J. Rober, Y. C. Shin, O. D. I. Nwokah: A Digital Robust Controller for Cutting Force Control in the End Milling Process. Journal of Dynamic Systems, Measurement, and Control, Vol. 119 (1997), pp.146-152.

DOI: 10.1115/1.2801226

Google Scholar

[3] Sung I. Kim，Robert G. Landers，A. Galip Ulsoy: Robust Machining Force Control With Process Compensation. Journal of Manufacturing Science and Engineering, Vol. 125(2003), pp.423-430.

DOI: 10.1115/1.1580849

Google Scholar

[4] S. J. Rober，Y. C. Shin: Control of Cutting Force for End Milling Processes Using an Extended Model Reference Adaptive Control Scheme. Journal of Manufacturing Science and Engineering，Vol. 118(1996), pp.339-347.

DOI: 10.1115/1.2831035

Google Scholar

[5] Li Zheng, Yawei Li and Steven Y. Liang: A Generalized Model of Milling Forces. Int J Adv Manuf Technol Vol. 14 (1997), pp.160-171.

Google Scholar

[6] Li Mao-yue, Fu Hong-ya, Liu Yuan, Han Zhen-yu: Research on reusable and configurable intelligent machining system. Proceedings of the 4th IEEE conference on industrial electronics and applications(ICIEA09). Xi'an, (2009), pp.3130-3133.

DOI: 10.1109/iciea.2009.5138777

Google Scholar