Advances in Manufacturing ›› 2018, Vol. 6 ›› Issue (3): 319-333.doi: 10.1007/s40436-018-0230-0
• ARTICLES • Previous Articles Next Articles
Michael Löser1, Andreas Otto2, Steffen Ihlenfeldt1, Günter Radons2
Received:2017-10-31
Revised:2018-07-06
Online:2018-09-25
Published:2018-09-18
Contact:
Michael Löser,michael.loeser@tu-dresden.de
E-mail:michael.loeser@tu-dresden.de
Supported by:Michael Löser, Andreas Otto, Steffen Ihlenfeldt, Günter Radons. Chatter prediction for uncertain parameters[J]. Advances in Manufacturing, 2018, 6(3): 319-333.
| 1. Quintana G, Ciurana J (2011) Chatter in machining processes:a review. Int J Mach Tools Manuf 51:363-376 2. Altintas Y, Weck M (2004) Chatter stability of metal cutting and grinding. CIRP Ann 53(2):619-642 3. Kong F, Yu J, Zhou X (1999) Analysis of fuzzy dynamic characteristics of machine cutting process:fuzzy stability analysis in regenerative-type-chatter. Int J Mach Tools Manuf 39:1299-1309 4. Kong F, Yu J (2007) Study of fuzzy stochastic limited cutting width on chatter. Int J Adv Manuf Technol 33(7):677-683 5. Sims N, Manson G, Mann B (2010) Fuzzy stability analysis of regenerative chatter in milling. J Sound Vib 329:1025-1041 6. Hamann D, Walz NP, Fischer A et al (2018) Fuzzy arithmetical stability analysis of uncertain machining systems. Mech Syst Signal Proc 98:534-547 7. Park SS, Qin YM (2007) Robust regenerative chatter stability in machine tools. Int J Adv Manuf Technol 33:389-402 8. Totis G (2009) RCPM-a new method for robust chatter prediction in milling. Int J Mach Tools Manuf 49:273-284 9. Hajdu D, Insperger T, Stepan G (2017) Robust stability analysis of machining operations. Int J Adv Manuf Technol 88:45-54 10. Insperger T, Lehotzky D, Stepan G (2015) Regenerative delay, parametric forcing and machine tool chatter:a review. IFACPapersOnLine 48(12):322-327 11. Lehotzky D, Insperger T, Khasawneh F et al (2017) Spectral element method for stability analysis of milling processes with discontinuous time-periodicity. Int J Adv Manuf Technol 89:2503-2514 12. Butcher EA, Bobrenkov OA, Bueler E et al (2009) Analysis of milling stability by the Chebychev collocation method:algorithm and optimal stable immersion levels. J Comput Nonlinear Dyn 4:031003 13. Budak E, Altintas Y (1998) Analytical prediction of chatter stability in milling-part I:general formulation. J Dyn Syst Meas Contr 120(1):22-30 14. Altintas Y, Stepan G, Merdol D et al (2008) Chatter stability of milling in frequency and discrete time domain. CIRP J Manuf Sci Technol 1:35-44 15. Merdol S, Altintas Y (2004) Multi frequency solution of chatter stability for low immersion milling. J Manuf Sci Eng 126:459-466 16. Löser M, Großmann K (2016) Influence of parameter uncertainties on the computation of stability lobe diagrams. Procedia CIRP 46:460-463 17. Otto A, Rauh S, Kolouch M et al (2014) Extension of Tlusty's law for the identification of chatter stability lobes in multi-dimensional cutting processes. Int J Mach Tools Manuf 82:50-58 18. Otto A, Radons G (2015) Stability analysis of machine-tool vibrations in the frequency domain. IFAC-PapersOnLine 48(12):328-333 19. Otto A, Rauh S, Ihlenfeldt S et al (2017) Stability of milling with non-uniform pitch and variable helix tools. Int J Adv Manuf Technol 89:2613-2625 20. Großmann K, Löser M, Peukert C (2012) Frequenzgangermittlung an einer rotierenden spindel. ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 107(4):240-243 21. Cao Y, Altintas Y (2007) Modeling of spindle-bearing and machine tool systems for virtual simulation of milling operations. Int J Mach Tools Manuf 47:1342-1350 22. Rantatalo M, Aidanpää JO, Göransson B et al (2007) Milling machine spindle analysis using FEM and non-contact spindle excitation and response measurement. Int J Mach Tools Manuf 47:1034-1045 23. Biermann D, Surmann T, Kehl G (2008) Oszillatormodell für Werkzeugmaschinen zur Simulation von Zerspanprozessen. wtonline 98(3):185-190 24. Insperger T, Stepan G, Bayly PV et al (2003) Multiple chatter frequencies in milling processes. J Sound Vib 262:333-345 |
| [1] | Peng Wang, Chang-Yong Yang, Ying-Ying Yuan, Yu-Can Fu, Wen-Feng Ding, Jiu-Hua Xu, Yong Chen. Study on the mechanism of burr formation in ultrasonic vibration-assisted honing 9Cr18MoV valve sleeve [J]. Advances in Manufacturing, 2025, 13(3): 606-619. |
| [2] | Chang-Feng Yao, Yun-Qi Sun, Liang Tan, Min-Chao Cui, Ding-Hua Zhang, Jun-Xue Ren. Investigation of control method on blade shape accuracy of blisk in vibration finishing [J]. Advances in Manufacturing, 2025, 13(2): 377-394. |
| [3] | Zhen-Jing Duan, Shuai-Shuai Wang, Shu-Yan Shi, Ji-Yu Liu, Yu-Heng Li, Zi-Heng Wang, Chang-He Li, Yu-Yang Zhou, Jin-Long Song, Xin Liu. Surface quality evaluation of cold plasma and NMQL multi-field coupling eco-friendly micro-milling 7075-T6 aluminum alloy [J]. Advances in Manufacturing, 2025, 13(1): 69-87. |
| [4] | Xiao-Fei Lei, Wen-Feng Ding, Biao Zhao, Dao-Hui Xiang, Zi-Ang Liu, Chuan Qian, Qi Liu, Dong-Dong Xu, Yan-Jun Zhao, Jian-Hui Zhu. Surface roughness model of ultrasonic vibration-assisted grinding GCr15SiMn bearing steel and surface topography evaluation [J]. Advances in Manufacturing, 2025, 13(1): 88-104. |
| [5] | Jin Zhang, Li Ling, Qian-Yue Wang, Xue-Feng Huang, Xin-Zhen Kang, Gui-Bao Tao, Hua-Jun Cao. Surface quality investigation in high-speed dry milling of Ti-6Al-4V by using 2D ultrasonic-vibration-assisted milling platform [J]. Advances in Manufacturing, 2024, 12(2): 349-364. |
| [6] | Bo Wang, Zhong Jiang, Pei-Da Hu. Study on 6-DOF active vibration-isolation system of the ultra-precision turning lathe based on GA-BP-PID control for dynamic loads [J]. Advances in Manufacturing, 2024, 12(1): 33-60. |
| [7] | Shailendra Chauhan, Rajeev Trehan, Ravi Pratap Singh. State of the art in finite element approaches for milling process: a review [J]. Advances in Manufacturing, 2023, 11(4): 708-751. |
| [8] | Zheng Zhou, Chang-Feng Yao, Liang Tan, Ya Zhang, Yi Fan. Experimental study on surface integrity refactoring changes of Ti-17 under milling-ultrasonic rolling composite process [J]. Advances in Manufacturing, 2023, 11(3): 492-508. |
| [9] | Lorcan O'Toole, Feng-Zhou Fang. Optimal tool design in micro-milling of difficult-to-machine materials [J]. Advances in Manufacturing, 2023, 11(2): 222-247. |
| [10] | Bo-Hao Li, Li-Ping Zhao, Yi-Yong Yao. Multiconditional machining process quality prediction using deep transfer learning network [J]. Advances in Manufacturing, 2023, 11(2): 329-341. |
| [11] | Dai-Jun Xie, Ling-Dong Zeng, Zhen Xu, Shuai Guo, Guo-Hua Cui, Tao Song. Base position planning of mobile manipulators for assembly tasks in construction environments [J]. Advances in Manufacturing, 2023, 11(1): 93-110. |
| [12] | Vitor F. C. Sousa, Francisco J. G. Silva, Ricardo Alexandre, José S. Fecheira, Gustavo Pinto, Andresa Baptista. Experimental study on the wear evolution of different PVD coated tools under milling operations of LDX2101 duplex stainless steel [J]. Advances in Manufacturing, 2023, 11(1): 158-179. |
| [13] | Bao-Yu Zhang, Yu-Ning Zeng, Xue-Qin Pang, Song-Qing Li, Xiao Liu, Wen-Jun Deng. Feasibility analysis and process characteristics of selective laser ablation assisted milling Inconel 718 [J]. Advances in Manufacturing, 2022, 10(4): 495-519. |
| [14] | Long-Xu Yao, Zhan-Qiang Liu, Qing-Hua Song, Bing Wang, Yu-Kui Cai. Effects of process parameters on periodic impact force exerting on cutting tool in ultrasonic vibration-assisted oblique turning [J]. Advances in Manufacturing, 2022, 10(3): 411-427. |
| [15] | Miao-Xian Guo, Jin Liu, Li-Mei Pan, Chong-Jun Wu, Xiao-Hui Jiang, Wei-Cheng Guo. An integrated machine-process-controller model to predict milling surface topography considering vibration suppression [J]. Advances in Manufacturing, 2022, 10(3): 443-458. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
Tel: 86-21-66135510
Fax: 86-21-66132736
E-mail: aim@oa.shu.edu.cn