Accurate nonlinear modeling and computing of grinding machine settings modification considering spatial geometric errors for hypoid gears

Ding, Han; Tang, Jinyuan; Zhong, Jue

doi:10.1016/j.mechmachtheory.2016.01.008

Cited by 54 publications

(24 citation statements)

References 25 publications

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“…Therefore, this machine setting modification considering high-order components is of more versatility, efficiency and flexibility than the conventional modification. However, in recent gear literature, gear designers mainly focused on the numerical solution, 11 CMM measurement, higher-order expression of ease-off flank topography and its geometric topography optimization were developed sparsely. 12,13 To improve tooth flank manufacturing accuracy, gear designers firstly paid attention on tooth flank geometry optimization.…”

Section: Introductionmentioning

confidence: 99%

“…In past decades, the first or second-order component of tooth flank from error was usually investigated in tooth lank design. 11,13 For instance, in parametric expression, the first component represents the pressure angle error, and the second component represents spiral angle errors. 13 Actually, due to complex tooth flank expression, there were inevitably many error items on the specialized components having the related order and high-order expression.…”

Section: Introductionmentioning

confidence: 99%

“…It is of great significance to the actual geometric accuracy control. However, in recent machine setting modification, 8,9,11 although high-order modification concept was mentioned, the detailed identification of high-order coefficient of tooth flank topography was rarely investigated.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive data-driven modular control approach to computer aided process planning for manufacturing spiral bevel and hypoid gears

Rong

Ding

Tang

2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Machine setting modification has been an increasingly important access to the accurate flank manufacturing geometric accuracy control for spiral bevel and hypoid gears. More recently, machine setting driven integration of the theoretical design and the actual gear manufacturing is gaining more and more attention. In this paper, the traditional machine setting modification is extended to the case when higher-order component of the prescribed ease-off flank topography is investigated in form of high-order polynomial expression. Moreover, the actual gear manufacturing and general measurement are integrated into an adaptive data-driven high-order machine setting modification. In particular, this modification method is used to perform adaptive modular control for computer aided process planning (CAPP). Here, a data-driven operation and optimization is developed for adaptive high-order modification. It mainly includes: (i) Polynomial fitting and its optimization by using overall interpolation based on energy method, (ii) Data-driven ease-off flank parametrization based on the fastest descent Newton iteration method, (iii) adaptive control strategy by considering the sensitivity analysis, and (iv) Levenberg-Marquardt (L-M) based approximation for high-order machine setting modification. Given numerical test can verify the proposed method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive data-driven modular control approach to computer aided process planning for manufacturing spiral bevel and hypoid gears

Rong

Ding

Tang

2020

Proceedings of the Institution of Mechanical Engineers, Part B:

Self Cite

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show abstract

“…Recent research on spiral bevels and screw surfaces has examined the influence of machine settings and installation parameters on machining errors, and several authors have proposed error compensation methods [14][15][16]. These researchers have attempted to control the installation parameters such that the target for improving machining accuracy could be reached.…”

Section: Introductionmentioning

confidence: 99%

A Novel Optimization Design Method of Form Grinding Wheel for Screw Rotor

et al. 2019

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The profile accuracy of screw rotors plays a vital role in stabilizing the meshing operation between mated rotors. Such stability can minimize the vibration and noise, as well as improve the sealing performance and wear resistance. This is the main reason why form grinding is extensively applied as a finishing process to maintain high screw rotor profile accuracy. Since the installation parameters for form grinding wheels affect both the grinding wheel profile accuracy and grinding performance, it is essential to obtain reasonable installation parameters to guarantee the high precision and good grinding performance of form grinding wheels. In this paper, a novel optimization design method for form grinding wheels for screw rotors has been proposed. For the first time, the relationship between the grinding wheel installation parameters and profile accuracy is established to evaluate the grinding performance. A parameterized program has been designed based on space engagement theory. The characteristics of the contact line and profile features of form grinding wheels under different installation parameters have been investigated. Then, the proposed method was employed to select the correct range of installation parameters. To validate the proposed method, a set of experiments, including the manufacture and measurement of several screw rotors, was carried out. The results reveal that the precision of the screw profile is significantly improved compared with the empirical method, thus showing the effectiveness of the proposed method.

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“…Wang [7] used a compensation coefficient to correct the motion error of each axis, and built a closed loop error compensation model which improved the precision of gear form grinding process. Considering the spatial geometric errors in 6-axis gear grinding machine tool, Ding [8] made a nonlinear analysis on the modification mathematical model based on the machine setting parameters and the spatial geometric errors for a high gear process precision.…”

Section: Introductionmentioning

confidence: 99%

Formation mechanism study on tooth surface of two gear finishing processes: combined theoretical and experimental approaches

Han

Wang

Sun

et al. 2017

J Braz. Soc. Mech. Sci. Eng.

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As the necessary conditions, high precision and good mechanical performance gear is very important for a high speed and precision transmission system. To meet the requirement of the performance, gear finishing processes including gear honing and gear grinding have been mainly adopted. To compare the tooth surface of these two gear finishing processes, this paper gives the formation mechanism of gear tooth surface texture and conducts some comparative experiments on the gear surface texture and residual stress. Based on the spatial engagement principle and the discrete points of work-piece gear tooth spiral involute surface, the tooth surface contact area models of gears from the two processes are built, respectively, and the prediction models of honing paths and grinding paths are generated according to the velocity vector of the sampling points on tooth surface. Then the contrast and verification tests of the prediction models are carried out on internal gearing power honing machine and worm wheel gear grinding machine, respectively. Results indicate that the predicted curve shape honing paths and the longitudinal linear shape grinding paths of tooth surface are both similar to the experiment ones, respectively. Furthermore, some detailed quantitative analyses of tooth surface qualities including surface texture and tooth surface residual stress has been finished. It is found that the surface roughness value of gear grinding work-piece gear tooth surface is lower than that of gear honing process and the distribution of compressive residual stress on gear tooth surface is associated with the principles and parameters of the two processes. This research has theoretical and instructional significance for the improvement of gear honing and grinding processes.

show abstract

Accurate nonlinear modeling and computing of grinding machine settings modification considering spatial geometric errors for hypoid gears

Cited by 54 publications

References 25 publications

Adaptive data-driven modular control approach to computer aided process planning for manufacturing spiral bevel and hypoid gears

Adaptive data-driven modular control approach to computer aided process planning for manufacturing spiral bevel and hypoid gears

A Novel Optimization Design Method of Form Grinding Wheel for Screw Rotor

Formation mechanism study on tooth surface of two gear finishing processes: combined theoretical and experimental approaches

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