The study on a simulation model of workpiece surface topography in external cylindrical grinding

Chen, Jun; Guo, J.; Chen, Lianqiang

doi:10.1007/s00170-015-7406-6

Cited by 12 publications

(2 citation statements)

References 17 publications

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“…Grinding simulations based on tangible grinding wheels and workpiece modeling have been gaining significant traction [35,36]. Zhang et al [37] established a wear particle distribution model and verified the model by randomly rotating polyhedral wear particles, thus improving the prediction accuracy of the model.…”

Section: Introductionmentioning

confidence: 99%

A mathematical model for the cylindrical grinding responses of 18CrNiMo7-6 alloy steel

Zhang,

Lu,

et al. 2023

Preprint

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Due to its exceptional mechanical properties, 18CrNiMo7-6 alloy steel is one of the preferred materials for producing critical components of high-speed heavy-duty gearboxes. To study the relationship between cylindrical grinding parameters, i.e., workpiece speed, wheel speed and grinding depth, and grinding responses (grinding force, temperature and surface residual stress), dimensional analysis and finite element simulation of cylindrical grinding for 18CrNiMo7-6 alloy steel are performed. A mathematical model of grinding force and residual stress of cylindrical grinding is proposed, and the numerical and experimental verifications of 18CrNiMo7-6 cylindrical alloy steel are carried out. Numerical verification shows that the maximum relative errors of grinding force and residual stress models are 7.9% and 11.2%, respectively. The experimental results reveal that the maximum absolute errors were 1.31 N and 33.7 MPa, respectively. The results indicate that the proposed model could be used as a guide for practical grinding operation, which is helpful to optimize machining parameters, improve production efficiency and ensure high quality machining results.

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Section: Introductionmentioning

confidence: 99%

A mathematical model for the cylindrical grinding responses of 18CrNiMo7-6 alloy steel

Zhang,

Lu,

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The abrasive particle distribution or other random variables in the modeling process of grinding wheel surface have always been the key factors affecting the accuracy of grinding wheel surface modeling [24]. Secondly, due to the vibration of the machine, feed error, thermal deformation, and other factors, there is a large deviation between the theoretical topography and the measured topography [25]. In addition, there are many influencing factors in the grinding process, and it is difficult to detect each influencing factor accurately and quantitatively.…”

Section: Introductionmentioning

confidence: 99%

A Novel Modeling Method of Micro-Topography for Grinding Surface Based on Ubiquitiform Theory

Liu

Huang

et al. 2022

Fractal Fract

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In order to simulate the grinding surface more accurately, a novel modeling method is proposed based on the ubiquitiform theory. Combined with the power spectral density (PSD) analysis of the measured surface, the anisotropic characteristics of the grinding surface are verified. Based on the isotropic fractal Weierstrass–Mandbrot (W-M) function, the expression of the anisotropic fractal surface is derived. Then, the lower bound of scale invariance δmin is introduced into the anisotropic fractal, and an anisotropic W-M function with ubiquitiformal properties is constructed. After that, the influence law of the δmin on the roughness parameters is discussed, and the δmin for modeling the grinding surface is determined to be 10−8 m. When δmin = 10−8 m, the maximum relative errors of Sa, Sq, Ssk, and Sku of the four surfaces are 5.98%, 6.06%, 5.77%, and 4.53%, respectively. In addition, the relative errors of roughness parameters under the fractal method and the ubiquitiformal method are compared. The comparison results show that the relative errors of Sa, Sq, Ssk, and Sku under the ubiquitiformal modeling method are 5.36%, 6.06%, 5.84%, and 4.53%, while the maximum relative errors under the fractal modeling method are 23.21%, 7.03%, 83.10%, and 7.25%. The comparison results verified the accuracy of the modeling method in this paper.

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Kinematic simulation of surface grinding process with random cBN grain model

Chen

Dong

et al. 2018

Int J Adv Manuf Technol

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The study on a simulation model of workpiece surface topography in external cylindrical grinding

Cited by 12 publications

References 17 publications

A mathematical model for the cylindrical grinding responses of 18CrNiMo7-6 alloy steel

A mathematical model for the cylindrical grinding responses of 18CrNiMo7-6 alloy steel

A Novel Modeling Method of Micro-Topography for Grinding Surface Based on Ubiquitiform Theory

Kinematic simulation of surface grinding process with random cBN grain model

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