2022
DOI: 10.1016/j.jmatprotec.2022.117633
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Dynamic grinding force model for face gear based on the wheel-gear contact geometry

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Cited by 16 publications
(4 citation statements)
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“…Based on the parameters of Table 1, the tooth profile error curve of form grinding can be obtained by associating the improved transversal algorithm and equation (9).…”
Section: Analysis Of Tooth Profile Error In Form Grindingmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on the parameters of Table 1, the tooth profile error curve of form grinding can be obtained by associating the improved transversal algorithm and equation (9).…”
Section: Analysis Of Tooth Profile Error In Form Grindingmentioning
confidence: 99%
“…Tang et al 8 developed a new mathematical model of grinding forces in surface grinding, and this model is proved by comparison of the 1 experimental results. Ma et al 9 established a dynamical grinding force model based on the wheel-face contact geometry and investigated factors contributing to model errors.…”
Section: Introductionmentioning
confidence: 99%
“…An analytical kinematic-geometrical force model consisting of three parts, including ploughing, cutting, and formation forces, was carried out to find the optimum grinding conditions. Considering the disordered arrangement characteristics of the grinding grains, the transient grinding force model was established by Cai et al to obtain the grinding contact deformation [21,22]. Meanwhile, a dynamic grinding force model for face gears was developed based on the wheel-face gear contact geometry.…”
Section: Introductionmentioning
confidence: 99%
“…Sun et al [16] developed a surface topography model of ceramic materials for micro-grinding that takes into account grain distribution, dynamic impact, undeformed chip thickness, and the brittle material removal mechanism. Furthermore, Ma et al [17] created a force-thermal model based on wheel-gear geometry and material mechanism to forecast the grinding temperature field in an economical and effective manner. The mathematical modeling can help to disclose the parameters that affect the surface integrity and clarify the evolution rules.…”
Section: Introductionmentioning
confidence: 99%