Design of double-crowned tooth geometry for spiroid gear produced by precision casting process

Bo, Shen Yun; Liu, Xuan; Wang, Li Jun

doi:10.1177/0954405416661003

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…39,40 For instance, in data-driven determination of the target flank, tooth contact strength is considered as main evaluation to optimize the prescribed ease-off flank topography, in additional to the geometric performance. 41,42…”

Section: Resultsmentioning

confidence: 99%

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: Resultsmentioning

confidence: 99%

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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“…In numerical instance, a set of hypoid generator settings of the real face-milled spiral bevel and hypoid gears 61,62 is selected as the basic input signal to DFSS. The accurate hypoid generator settings are determined as a datadriven output response for the actual numerical control manufacturing.…”

Section: Basic Gear Designmentioning

confidence: 99%

Data-driven process control for manufacturing spiral bevel and hypoid gears by using design for six sigma (DFSS) considering numerical loaded tooth contact analysis (NLTCA)

Rong

Ding

Song

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Data-driven process control considering both geometric and loaded contact performance evaluations has been an increasingly important stage in field of spiral bevel and hypoid gears. A new data-driven manufacturing process control strategy is proposed for a high performance spiral bevel and hypoid gears. Here, to distinguish with the conventional simulated loaded tooth contact analysis (SLTCA) using economical finite element software package, the numerical loaded tooth contact analysis (NLTCA) is of more flexibility and practicality. In light of the advantages of the improved design for six sigma (DFSS), it is integrated with NLTCA for establishing a novel data-driven process control of gear manufacturing. Firstly, in improved DFSS framework, quality function deployment (QFD) is used to determine four sub-objective high-performance evaluation items. Then, their data-driven relationships between machine settings are respectively determined by using NLTCA. In particular, the manufacturing process control is further converted into multi-objective optimization (MOO) modification of the hypoid generator settings. Finally, an interactive preference point approach is applied for data-driven control of its iterative step and it can obtain a robust solution from Pareto optimal front. A case study is provided to verify the proposed methodology.

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“…To localize the gear tooth contact pattern and to allow perfect transmission errors, a novel double-crowned tooth geometry is used ease-off topography for a spiroid gear that was manufactured using a precision casting process. 18 Ling et al 19 proposed two gear-grinding techniques to improve pitch deviations in ultra-precision gears: the offset-compensated technique and the neighbour-tooth translocation technique. Recently, Tran et al 20,21 proposed a methodology for finish-hobbing of twist-free tooth flank of helical gears for longitudinal tooth crowning by setting the hob’s diagonal feed motion as a second-order function of the hob’s traverse movement and using a dual-lead hob cutter wherein the pressure angle changes in its longitudinal direction.…”

Section: Introductionmentioning

confidence: 99%

Manufacturing helical gears with double-crowning and twist-free tooth flanks using a variable pressure angle shaving cutter

Hsu

Tran

2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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For a parallel gear shaving process, the tooth flanks of a shaved work gear surface are longitudinally crowned using an auxiliary crowning mechanism. However, the flanks are only crowned in the longitudinal direction and not in the cross-profile direction so there is a natural twist on the shaved work gear surfaces. A new shaving method for double-crowning that has no natural twist in the tooth flanks on the work gear surfaces is proposed, which uses a variable pressure angle shaving cutter in a parallel gear shaving process. Three numerical examples are presented to verify the merits of the proposed shaving method. The tooth flanks are crowned in both the cross-profile and the longitudinal directions, and natural twists in the shaved tooth flanks are reduced significantly.

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Design of double-crowned tooth geometry for spiroid gear produced by precision casting process

Cited by 4 publications

References 11 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

Data-driven process control for manufacturing spiral bevel and hypoid gears by using design for six sigma (DFSS) considering numerical loaded tooth contact analysis (NLTCA)

Manufacturing helical gears with double-crowning and twist-free tooth flanks using a variable pressure angle shaving cutter

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