gear drives
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2022 ◽  
Vol 170 ◽  
pp. 104718
Author(s):  
José I. Pedrero ◽  
Miguel Pleguezuelos ◽  
Miryam B. Sánchez

Author(s):  
Pavlo Tkach ◽  
Pavlo Nosko ◽  
Oleksandr Bashta ◽  
Grygorii Boiko ◽  
Olha Herasymova

The article is devoted to the actual problem of increasing the performance indicators of machine gear drives. To solve this problem, in the article proposed to use a conchoidal engagement made with a shifting of the  reference profile and special contact conditions. A feature of the proposed engagement is that it is less sensitive to manufacturing and assembly errors compared to conventional conchoidal engagement. As a result of theoretical studies, the performance indicators of such an engagement were determined. This made it possible to determine the level of load during further experimental tests of new gears. Contact strength and meshing losses were selected as performance indicators subject to further experimental verification. The ratios of these indicators, calculated for conchoidal spur gears with convex-convex contact, made with a shifting of the reference profile, with similar involute ones, are theoretically determined. Comparative analysis of performance indicators was carried out for gears of involute and conchoidal engagement with the same parameters and shifting of the reference profile. It was found that for experimental conchoidal drives with shifting, the maximum load is 1.2 times higher than that of a similar involute drive with shifting, and the loss in engagement is 21% less. A rational area of application of the new gearing is machine drives for high power transmissions. Keywords: spur gears, conchoidal gearing, profile shift, convex-convex contact, meshing characteristics, teeth surface strength, gearing power loss


2021 ◽  
Vol 13 (3) ◽  
pp. 59-65
Author(s):  
Daniela Ghelase ◽  
◽  
Luiza Daschievici ◽  

It is known that, from the point of view of the accuracy of a machine-tool, at its design, the dynamic behaviour of each element of the kinematic chains prevails. Worm-gear drives are widely used in the different machine-tools and robots. Therefore, it is important that during meshing, as far as possible, there are no vibrations, shocks, power losses, noise and low durability. These requirements can be met if, for example, the gear ratio is constant during meshing, without transmission errors, which means that the worm-gear drive should have a high accuracy. The accuracy improvement of the worm-gear drive has long been a focus of attention for machine-tools designers. Thus, this paper presents various approaches to solving such problems, based on modelling and simulation, such as: estimating the load share of worm-gear drives and to calculate the instantaneous tooth meshing stiffness and loaded transmission errors; the desired worm-gear drive design configuration by altering the optimum set of worm-gear drive design parameters which are suitable for the required performance by associating it with SVM (Support Vector Machine); optimization approach for design of worm-gear drive based on Genetic Algorithm; design optimization of worm-gear drive with reduced power loss; etc. The optimization of the worm-gear design is an important problem for the research because the design variables are correlated to each other. An optimal design algorithm developed by the authors of this paper, for worm-gear drive, is also presented.


Materials ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 7825
Author(s):  
Wojciech Kacalak ◽  
Maciej Majewski ◽  
Zbigniew Budniak ◽  
Jacek Ponomarenkow

This paper presents the fundamentals of the design and applications of new worm gear drive solutions, which enable the minimisation of backlash and are characterised by higher kinematic accuracy. Different types of worm surfaces are briefly outlined. Technological problems concerning the principles of achieving a high degree of precision in machining are also described. Special attention is paid to the shaping of conical helical surfaces. Increasing the manufacturing precision of drive components allows one to achieve both lower backlash values and lower levels of its dispersion. However, this does not ensure that backlash can be eliminated, with its value being kept low during longer periods of operation. This is important in positioning systems and during recurrent operations. Various design solutions for drives in which it is possible to reduce backlash are presented. Results of experiments of a worm gear drive with a worm axially adaptive only locally, in its central section, are presented. In this solution, it is possible to reduce backlash by introducing adjustment settings without disassembling the drive. An important scientific problem concerned defining the principles of achieving a compromise between the effectiveness of reducing backlash and the required load capacity of the drive. In this paper it has been shown that in worm gear drives with a locally axially adaptive worm, as well as with a worm wheel with a deformable rim, it is possible to achieve significant reduction of backlash. In high precision drives—for example, those with an average backlash value of <15 micrometers—this can enable more than a two-fold reduction of the average backlash value and more than a three-fold decrease of the standard deviation of local backlash values.


2021 ◽  
Vol 2141 (1) ◽  
pp. 012001
Author(s):  
Zih-Chun Dai

Abstract The roller worm gear drives have been widely adopted in numerous industrial applications such as robot joint reducer, heavy-duty production line. This study is to improve the performance of a roller gear drive by utilizing an iterative optimization scheme to improve the tooth profile of the hourglass worm gear in the roller gear drive. Dedicated design of the variable-pitch slot on the hourglass worm gear can remedy the power efficiency of the roller gear drive by enhancing the contact ratio dramatically. This research showed that the roller gear drive is a better mechanism for the high reduction ratio reducers. The CAD design and performance analysis of a roller gear drive by SolidWorks have provided the engineers an optimizing methodology.


2021 ◽  
Vol 165 ◽  
pp. 104437
Author(s):  
Xingqiao Deng ◽  
Lei Hong ◽  
Wei Li ◽  
Shisong Wang ◽  
Yucheng Liu

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