Establishment of vibration wear model for turning large-pitch thread tools and its wear suppression method

Li, Zhe; Fu, Xiangfu; Li, Junwei; Jiang, Bin; Wang, Fucheng

doi:10.1007/s00170-020-05403-w

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…Turning is the most useable and main process in modern thread manufacturing of large-pitch screws and pipes of big diameter. The paper [50] describes the relationship between vibration and tool wear at the time of threading using a lathe. The work [51] formulates the generalized dynamics of thread-turning operations with custom multipoint inserts.…”

Section: Values Of Mechanical Properties Due To Strength Groups Ofmentioning

confidence: 99%

Analytical Model of Tapered Thread Made by Turning from Different Machinability Workpieces

Onysko,

Kopei,

Barz

et al. 2024

Machines

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High-precision tapered threads are widely used in hard-loaded mechanical joints, especially in the aggressive environment of the drilling of oil and gas wells. Therefore, they must be made of workable materials often difficult to machine. This requires the use of high-performance cutting tools, which means the application of non-zero geometric parameters: rake and edge inclination angles. This study is based on analytical geometry methodology and describes the theoretical function of the thread profile as convoluted surfaces dependent on the tool’s geometric angles. The experiments were conducted using a visual algorithm grounded on the obtained function and prove the practical use of the scientific result. They predict the required accuracy of thread made using a lathe tool with a rake angle of up to 12°.

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Section: Values Of Mechanical Properties Due To Strength Groups Ofmentioning

confidence: 99%

Analytical Model of Tapered Thread Made by Turning from Different Machinability Workpieces

Onysko,

Kopei,

Barz

et al. 2024

Machines

View full text Add to dashboard Cite

show abstract

“…Simultaneously, the tool itself had excellent rigidity in the axial and tangential direction. Influenced by the large overhang of the tool in the radial direction, resulting in its poor rigidity, the tool generated significant vibration when excited, and eventually caused a significant impact on the surface roughness of the workpiece [18]. In summary, the influence of z-direction, i.e., radial vibration, on the surface roughness occupied the dominance among the vibration signals in different directions, and this direction was chosen for the subsequent research.…”

Section: Processing Of Homologous Isomerism Datamentioning

confidence: 99%

Prediction for surface roughness of the large-pitch internal thread based on homologous isomerism data

Qin

et al. 2023

Int J Adv Manuf Technol

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For the problem of difficulty in measuring the surface roughness of large-pitch internal threads, predictions are used instead of measurements, whereas the common predictions are not highly accurate and narrow in scope of use. In this paper, the homologous isomerism data of vibration signal were utilized to establish a predictive model, which predicted the surface roughness of large-pitch internal threads. The corresponding homologous isomerism data were acquired by turning the large-pitch internal thread, and the data were processed using Relief-F algorithm to obtain the weights, which are the effects of different features on surface roughness. Additionally, influenced by the structural characteristics of the workpiece with a large pitch and a small number of teeth, support vector machine (SVM) and RBF neural network, which are suitable for researches with small sample sizes, from the machine learning algorithm were used to establish the predictive model with the homologous isomerism data of vibration signal as the input parameters. Eventually, the SVM model with higher accuracy of prediction and better ability of generalization was more appropriate for the research of this paper through comparison and analysis. The SVM model was verified to have absolute errors within 0.05μm and relative errors within 4% for turning both left and right threaded surface, demonstrating that the predictive model could take the place of measuring the surface roughness in the mass production of large-pitch internal threads. The method proposed in this paper can also be extended to other parts for the prediction of surface roughness, especially those whose surface roughness are difficult to measure due to structural characteristics.

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Tool Wear in the Process of Drill-String Connector Thread Lathe Machining

Onysko

Kopei

Kusyi

et al. 2023

Lecture Notes in Networks and Systems

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Establishment of vibration wear model for turning large-pitch thread tools and its wear suppression method

Cited by 10 publications

References 8 publications

Analytical Model of Tapered Thread Made by Turning from Different Machinability Workpieces

Analytical Model of Tapered Thread Made by Turning from Different Machinability Workpieces

Prediction for surface roughness of the large-pitch internal thread based on homologous isomerism data

Tool Wear in the Process of Drill-String Connector Thread Lathe Machining

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