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Speed Planning and Imputation Technology Development of CNC System

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DOI: 10.23977/jeeem.2023.060402 | Downloads: 5 | Views: 338

Author(s)

Zhigang Liu 1,2, Qingjian Liu 1,2, Zheng Li 1,2, Xiaoyu Dong 1,2

Affiliation(s)

1 Tianjin Key Laboratory for Advanced Electromechanical System Design and Intelligent Control, Tianjin University of Technology, Tianjin, 300384, China
2 National Demonstration Center for Experimental Mechanical and Electrical Engineering Education, Tianjin University of Technology, Tianjin, 300384, China

Corresponding Author

Zhigang Liu

ABSTRACT

In order to better carry out the research of the integrated design of the speed planning of CNC system, it is necessary to systematically understand and learn the existing representative work. The methods and technical progress of speed planning and insertion in CNC machining, including S curve planning algorithm, trapezoidal planning algorithm, parameter curve speed control algorithm, NURBS curve fitting algorithm and adaptive insertion algorithm. The existing methods have the contradiction between machining accuracy and efficiency, and the calculation amount required for the accurate prediction of the deceleration point of speed planning is still large. With the rapid development of technologies such as artificial intelligence and machine learning, intelligent algorithms can gradually improve the effect of speed planning through learning and optimization, and make adaptive adjustment according to the real-time feedback in the processing process, which will further improve the processing efficiency and precision.

KEYWORDS

Numerical control system, speed planning, interpolation algorithm

CITE THIS PAPER

Zhigang Liu, Qingjian Liu, Zheng Li, Xiaoyu Dong, Speed Planning and Imputation Technology Development of CNC System. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 10-15. DOI: http://dx.doi.org/10.23977/jeeem.2023.060402.

REFERENCES

[1] Shi Chuan, Zhao Tong, Ye Peiqing, etc. Research on S-curve acceleration and deceleration planning of CNC system [J]. China Mechanical Engineering, 2007, No. 228 (12): 1421-1425. 
[2] Luo H, Zhao D, Fu W. Speed Planning Algorithm Based on Improved S-Type Acceleration and Deceleration Model[J]. Journal of Shanghai Jiaotong University (Science), 2021(8). 
[3] Zheng Jinxing, Zhang Mingjun. Study on real-time interpolation algorithm of trapezoidal speed control [J]. Machine Tool and Hydraulic Pressure, 2007, No. 223 (01): 77-80 + 133. 
[4] Leng Hongbin, Wu Yijie, Pan Xiaohong. Research on the high-speed processing speed planning algorithm of cubic polynomial microsegments [J]. Computer Integrated Manufacturing System, 2008 (02): 336-340 + 397. 
[5] Wang Yunsen, Gai Rongli, Sun Yilan, et al. Four studies on polynomial speed planning algorithm in high quality machining, China Mechanical Engineering, 2014, 25 (005): 636-641. 
[6] Xiao Lina, Huang Yan, Gai Rongli, Yu Dong. Design of exponential acceleration and deceleration algorithm of smooth velocity between small program segments [J]. Combined machine tool and automatic processing technology, 2011 (07): 38-41. 
[7] Dong Jingchuan, et al. Smooth feedrate planning for continuous short line tool path with contour error constraint [J]. International Journal of Machine Tools and Manufacture, 2014, 76: 1-12. 
[8] Wang L, Cao Jianfu. A look-ahead and adaptive speed control algorithm for high-speed CNC equipment [J]. The International Journal of Advanced Manufacturing Technology, 2012, 63(5):705-717. 
[9] Dong Jingchuan, Wang Taiyong, Wang Zijing, Li Bo, Ding Yanyu, Jiang Yongxiang. Universal-type forward-looking speed planning algorithm [J]. Computer Integrated Manufacturing System, 2013, 19 (03): 529-539. 
[10] Yuan Yalan, Huang Yan, Gai Rongli. Adaptive prospective interpolation algorithm based on the Cardinal spline curve [J]. Combined machine tool and automatic processing technology, 2018 (10): 1-5. 
[11] Nam Sung-Ho, Yang Minyang. A study on a generalized parametric interpolator with real-time jerk-limited acceleration [J]. Computer-Aided Design, 2004, 36(1)
[12] Ju Changjiang, Yang Genke, Chen Yuwang. S-type feed speed optimal planning for parameterized paths [J]. Computer Integrated Manufacturing System, 2021, 27 (01): 156-164. 
[13] Jin Zhongbo, Zhang Baichen, Han Xia, etc. Analysis of line interpolation by point by point comparison and its improved algorithm [J]. Mechanical Engineer, 2009, No. 213 (03): 126-128. 
[14] Guo Yonghuan, Fan Xiying, Liu Fengguo. Study of a novel digital integral linear interpolation algorithm [J]. Manufacturing Technology and Machine Tool, 2012, No. 597 (04): 164-167. 
[15] Kong Depeng, Zhang Guoping, Zhang Yujiao. Improvement of the temporal segmentation interpolation algorithm based on circular arc interpolation [J]. Mechanical and Electronic, 2010, No. 208 (02): 33-37. 
[16] Yeh S S., Su H C. Implementation of online NURBS curve fitting process on CNC machines. The International Journal of Advanced Manufacturing Technology, 2009, 40(5-6), pp. 531-540. 
[17] Lin K Y, Ueng W D. and Lai J Y. CNC codes conversion from linear and circular paths to NURBS curves. The International Journal of Advanced Manufacturing Technology, 2009, 39(7-8), pp. 760-773. 
[18] Zhao Peng, Lou Peihuang, Liu Mingdeng, etc. Tool path optimization method based on NURBS curve fitting [J]. Computer Integrated Manufacturing System, 2011, 17 (07): 1454-1459. 
[19] Heng M. and Erkorkmaz K. Design of a NURBS interpolator with minimal feed fluctuation and continuous feed modulation capability. International Journal of Machine Tools and Manufacture, 2010, 50(3), pp. 281-293. 
[20] Li J., Liu Y., Li Y. and Zhong G. S-Model Speed Planning of NURBS Curve Based on Uniaxial Performance Limitation. IEEE Access, 2019, 7, pp. 60837-60849. 
[21] Wang G., Shu Q., Wang J. and Li L. Research on adaptive non-uniform rational B-spline real-time interpolation technology based on acceleration constraints. The International Journal of Advanced Manufacturing Technology, 2016, 91(5-8), pp. 2089-2100. 
[22] Lee A., Lin M., Pan Y. and Lin W. The feedrate scheduling of NURBS interpolator for CNC machine tools. Computer-Aided Design, 2011, 43(6), pp. 612-628.

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