scholarly journals Design and Application of Vibrator Drived by Piezoelectric Stack Based on Low Frequency Vibration Cutting

Author(s):  
Fanxia Kong
2004 ◽  
Vol 471-472 ◽  
pp. 494-497
Author(s):  
X.G. Jiang ◽  
D.Y. Zhang

The frequency of piezoelectric transducer requires high stability and can also be continuously changed. The voltage requires smooth and stable sine wave. To the two problems, a high precision power supply for vibration cutting is designed. It divides the whole frequency band into several small bands. By means of CPLD, the sine wave is digitally fitted individually at each small band. So the sine wave can be always suitable at a wide frequency band. At the power output, OCL power amplifier is adopted. The output sine voltage becomes smooth and stable by adding voltage negative feedback to the power amplifier. The experiment results show its feasibility.


2020 ◽  
Vol 86 (892) ◽  
pp. 20-00323-20-00323
Author(s):  
Akihito MIYAKE ◽  
Ayako KITAKAZE ◽  
Seiko SAKURAI ◽  
Masahiro MURAMATSU ◽  
Kenji NOGUCHI ◽  
...  

Seikei-Kakou ◽  
1991 ◽  
Vol 3 (1) ◽  
pp. 81-88
Author(s):  
Noboru IIJIMA ◽  
Hidehiko TAKEYAMA

2010 ◽  
Vol 26-28 ◽  
pp. 648-652
Author(s):  
Qi Hong ◽  
Li Zhi Gu ◽  
Chun Jiang Xiang

Low-frequency vibration cutting is a new kind of advanced manufacturing process with several features of advantages, compared with conventional cutting operation. Based on the review of the history of low-frequency vibration cutting, its special technological effects and applications were discussed, and presented in detail the research progress in mechanism and experiment study on low-frequency vibration cutting. Three primary problems, lack of unified awareness of mechanism, establishment of a unified standard for the choice of certain parameters, application level, still in expertise for low-frequency vibration cutting were explored and the development tendency as well as the prospect of low-frequency vibration cutting in future was foreseen.


2019 ◽  
pp. 1-3
Author(s):  
Nitin K. Kamble ◽  
Pranit P. Deshpande

Low frequency vibration Turning is a peripheral energy assisted machining method to improve the material removal process by superimposing high frequency and small amplitude vibration on either tool or work piece motion.The servo axes vibrated in the axial direction and cutting is achieved while synchronizing this vibration with the rotation of the spindle.Because “air-cutting”time is provided along with cutting,it is characterized by intermittent removal of chips.It is ideal for cutting difficult-to-cut materials like Inconel, stainless steel and copper. It is state-of-the-art and overwhelms various risks associated with these materials, such as entanglement of chips and built-up edges.Three main problems, lack of awareness of mechanism,establishment of a standard for the choice of certain parameters,application level,still in expertise for low-frequency vibration cutting were explored and the development tendency as well as the prospect of low-frequency vibration turning in future was foreseen.


2018 ◽  
Vol 2018 (0) ◽  
pp. S1320203
Author(s):  
Akihito MIYAKE ◽  
Ayako KITAKAZE ◽  
Seiko KATOH ◽  
Masahiro MURAMATSU ◽  
Kenji NOGUCHI ◽  
...  

2014 ◽  
Vol 620 ◽  
pp. 592-597
Author(s):  
Wei Wen Du ◽  
Li Zhi Gu ◽  
Jiao Tao Wang

A prediction method based on least square support vector machine is introduced into the surface roughness prediction model in low-frequency vibration cutting. The model is created with low-frequency vibration cutting experiment for the corresponding relationship between vibration parameters and cutting parameters and the workpiece surface roughness. The training sample set is constructed to train regression models of least square support vector machine through experimental data. Identification of training sample set is done to gain the regression parametersaandb. The amplitude ofA, vibration frequencyf, feedf1and spindle speednare used as the input variable in Xi. Predicted values of surface roughness are forecasted with the model. Evaluation is made with the difference between the predicted value and experiment. Comparison with BP neural network and support vector machine method has shown that the least square support vector machine prediction model works faster than SVM method, the prediction error is about 29% of that by support vector machine, and the prediction accuracy is higher than the BP model.


2014 ◽  
Vol 551 ◽  
pp. 176-181
Author(s):  
Li Zhi Gu ◽  
Wei Wen Du ◽  
Jian Tao Wang ◽  
Shao Kui Qu ◽  
Yan Hua Huang

Proposed a concept, “cutting degree” as one of the parameters indicating the surface characteristics of the machined layer integrity. According to material nonlinearity, geometric nonlinearity, thermal coupling theory, established models of the vibratory cutting simulation, constitutive J-C model, shear model, boundary conditions, made finite element simulation of low-frequency vibration cutting by using software. Accessing to a visualization process, which is the change of material stress state in local area of the workpiece in cutting process. Analyzed the change of material stress states in local area of the workpiece, between low-frequency vibration cutting and non-vibration cutting machining process, other cutting parameters being equal. It is found that the values of cutting degree were apparently different in vibration cutting from those in non-vibration cutting. Contrasting experiments were done and SEM was observed of the machined surfaces. Findings of the experiment supported the simulation and to some extent validated the feasibility of the vision of 'cutting degree' as a term for expression of vibration cutting feature.


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