scholarly journals Multi-cutter turning process stability analysis

2018 ◽  
Vol 17 ◽  
pp. 124-129 ◽  
Author(s):  
A. M. Gouskov ◽  
M. A. Guskov ◽  
Ding Dyk Tung ◽  
G. Panovko
Author(s):  
Zied Sahraoui ◽  
Kamel Mehdi ◽  
Moez Ben-Jaber

The development of the manufacturing-based industries is principally due to the improvement of various machining operations. Experimental studies are important in researches, and their results are also considered useful by the manufacturing industries with their aim to increase quality and productivity. Turning is one of the principal machining processes, and it has been studied since the 20th century in order to prevent machining problems. Chatter or self-excited vibrations represent an important problem and generate the most negative effects on the machined workpiece. To study this cutting process problem, various models were developed to predict stable and unstable cutting conditions. Stability analysis using lobes diagrams became useful to classify stable and unstable conditions. The purpose of this study is to analyze a turning process stability using an analytical model, with three degrees of freedoms, supported and validated with experimental tests results during roughing operations conducted on AU4G1 thin-walled tubular workpieces. The effects of the tubular workpiece thickness, the feed rate and the tool rake angle on the machining process stability will be presented. In addition, the effect of an additional structural damping, mounted inside the tubular workpiece, on the machining process stability will be also studied. It is found that the machining stability process is affected by the tubular workpiece thickness, the feed rate and the tool rake angle. The additional structural damping increases the stability of the machining process and reduces considerably the workpiece vibrations amplitudes. The experimental results highlight that the dynamic behavior of turning process is governed by large radial deformations of the thin-walled workpieces. The influence of this behavior on the stability of the machining process is assumed to be preponderant.


2019 ◽  
Vol 24 ◽  
pp. 89-89
Author(s):  
A. M. Gouskov ◽  
M. A. Guskov ◽  
Ding Dyk Tung ◽  
G. Panovko

2017 ◽  
Vol 19 (8) ◽  
pp. 5825-5841 ◽  
Author(s):  
Artem Gerasimenko ◽  
Mikhail Guskov ◽  
Alexander Gouskov ◽  
Philippe Lorong ◽  
Alexander Shokhin

Author(s):  
Luis Ramiro Miramontes-Martínez ◽  
Pasiano Rivas-García ◽  
Alonso Albalate-Ramírez ◽  
José Enrique Botello-Álvarez ◽  
Carlos Escamilla-Alvarado ◽  
...  

Author(s):  
Liping Zhao ◽  
Sheng Hu ◽  
Yiyong Yao

Industrial manufacturing processes often show multiple operating modes, where different modes present different regularities, so real-time monitor and analyzing the quality state stability is an important way to ensure product quality. This paper proposes a state-driven fluctuation space model for quality stability analysis for multimode manufacturing process. First, the whole process is divided into many sub-processes and the multimode formation mechanism is analyzed to form the stability analysis framework. Then each single-mode quality state fluctuation space model is built based on multi-kernel support vector data description method to determine the max effective fluctuation border of the process state. For the current process state, the deep neural network (DNN) is adopted to extract process state features automatically and recognize the mode type. Thus appropriate quality stable fluctuation space model is selected to monitor and analyze the process stability state. Finally, a case study is performed to evaluate the feasibility of proposed stability analysis method, and the result reveals that the method shows good effect for analyzing the process stability in manufacturing process.


2020 ◽  
Vol 124 ◽  
pp. 105835 ◽  
Author(s):  
Xiangdong Gao ◽  
Lin Wang ◽  
Ziqin Chen ◽  
Yanxi Zhang ◽  
Deyong You

2002 ◽  
Vol 124 (2) ◽  
pp. 473-475 ◽  
Author(s):  
Michael P. Vogler ◽  
Richard E. DeVor ◽  
Shiv G. Kapoor

An analytical method for stability prediction incorporating the nonlinear influence of the effective lead angle in turning is proposed and validated. It is shown that as the effective lead angle changes, due to depth of cut variations on a nose radiused cutting insert, different structural modes are excited, resulting in different stability results. Experiments have been performed on a two degree-of-freedom system representative of the turning of long, slender bars. It is shown that chatter may be present at low depths of cut, typically less than the nose radius of the insert. The proposed model is also capable of predicting the chatter present at larger depths of cut that is typically reported in literature.


Author(s):  
Z. C. Wang ◽  
W. L. Cleghorn ◽  
S. D. Yu

Abstract In this paper, the stability analysis of turning process is performed based on a new cutting force model which includes the effect of ploughing force. This approach utilized the Laplace transform to identify the characteristic roots of the examined machining system. The stability of the machining system can then be determined by examining the locations of the characteristic roots. The stability curve for a specific turning process can then be plotted. The effect of different cutting force models on the stability is also investigated. The results clearly demonstrate some chatter phenomena observed by other researchers.


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