Modeling of instantaneous cutting force for large pitch screw with vibration consideration of the machine tool

Li, Zhe; Fu, Xiangfu; Li, Chao; Jiang, Bin; Zheng, M.Y.

doi:10.1007/s00170-020-05583-5

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Li established an instantaneous cutting force model of the large pitch screw turning process from the perspective of the machine tool processing system. The error between the predicted cutting forces and the experimental results was less than 15%, which proved the reliability of the cutting force model (Li et al, 2020). Elhami presented a new hybrid milling process by gathering thermally enhanced and ultrasonic assisted machining characteristics (Elhami et al, 2015).…”

Section: Introductionmentioning

confidence: 67%

Modelling of cutting force in hard whirling of ball screws based on uncut chip geometry

Song

CHENG

et al. 2023

JAMDSM

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Hard whirling is a highly efficient and green process for precision ball screw machining. Due to the intermittent cutting characteristics and the helical motion of the tool, the cutting forces are periodic and time-varying, making it extremely challenging to establish an accurate cutting force model. This paper proposes a cutting force modelling method based on the transient geometric characteristics of uncut chips, subject to the essential link between uncut chips and cutting forces. The time-varying features of the chip are revealed by building an accurate 3D digital model of the uncut chip. An equivalent cutting simulation model is developed using the discrete cross-section of the chip, and the effect of cutting parameters and tool edge on the cutting forces are investigated. A combination of simulation and experiment is presented to identify cutting force model coefficients, and the theoretical cutting force model for ball screw hard whirling is established. The results show that the uncut chip cross-sectional area and edge length involved in cutting first increase and then decrease, and the equivalent numerical simulation method based on the transient geometry of uncut chips can obtain more accurate cutting forces. The combined simulation and experimental strategy achieve fast and low-cost identification of cutting force coefficients, and the established cutting force model has good prediction accuracy. This study supports the investigation of the cutting mechanism of hard whirling, the optimisation of process parameters and the improvement of machining quality.

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Section: Introductionmentioning

confidence: 67%

Modelling of cutting force in hard whirling of ball screws based on uncut chip geometry

Song

CHENG

et al. 2023

JAMDSM

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“…High cutting temperature is the main cause of tool wear, resulting in machined surface having residual stress and other defects [51,52]. Cutting force is the main factor affecting machine power and chatter, which is indirectly affecting the surface roughness of the workpiece [53,54]. Chip morphology and its breakage are vital factors affecting machining stability [55].…”

Section: Fundamentals Of Forward-and-reverse Multidirectional Cuttingmentioning

confidence: 99%

Cutting mechanics and efficiency of forward and reverse multidirectional turning

Cai

Zhang

et al. 2023

International Journal of Mechanical Sciences

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“…In order to maintain the stability of the entire turning, the axial layered turning was used. The technology of multiple layered feeds along the axial direction makes the turning stable and reduces the impact on the surface quality of the workpiece [16].…”

Section: Experiments Of Turning Large-pitch Internal Threadmentioning

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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Modeling of instantaneous cutting force for large pitch screw with vibration consideration of the machine tool

Cited by 5 publications

References 10 publications

Modelling of cutting force in hard whirling of ball screws based on uncut chip geometry

Modelling of cutting force in hard whirling of ball screws based on uncut chip geometry

Cutting mechanics and efficiency of forward and reverse multidirectional turning

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

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