Study vibration of worm gear boxes Šmeringaiová, A
IOP conference series. Materials Science and Engineering,
11/2021, Letnik:
1199, Številka:
1
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Abstract
The article describes the method of experimental analysis of transmission mechanisms. The test station enables to test different types of gears and to simulate their different operating ...conditions close to reality. The tests may be short-term and long-term. The course and results of the test operation of the screw reducer are described. Measured and evaluated were low-frequency and high-frequency vibration, temperature and wear functional parts of the teeth.
This contribution demonstrates the potential of machine learning (ML) algorithms in predicting elastohydrodynamic lubrication (EHL) film thickness in elliptical contact with a varying direction of ...lubricant entrainment, ranging from wide to slender elliptical configurations. The input parameters pertain to worm gear contacts, which are characterized by slender-like elliptical contact between a steel and a soft metal component. The study encompasses generating an initial database using numerical Finite Element Method (FEM) simulations, training artificial neural network (ANN) models, and evaluating their performance in terms of bias and variance. Key outcomes include the successful training of the ANN models, detailed analysis of the impact of tailored architecture on the ANN models' performance, and the superiority of the ANN compared to other ML regression algorithms. The study further identifies key input parameters that influence prediction accuracy and introduces a strategic dataset augmentation method to increase local and overall prediction accuracy. This strategic dataset augmentation enhances model robustness and precision while providing insights for expanding databases collaboratively. It holds potential for broader applications of ML for performance prediction of tribological contacts, thus paving the way for advanced models that consider additional factors and collaborative databases refined by multiple research groups.
Determination of power losses in worm gear reducer Radosavljević, S Z; Stojanović, B Ž; Skulić, A D
IOP conference series. Materials Science and Engineering,
08/2018, Letnik:
393, Številka:
1
Journal Article
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In this paper are presented the power losses and sources of their occurrence in worm gear reducer. These are the losses that occur in the coupling of worm teeth and worm gear, losses in bearings, ...seals and oil churning power losses in the transmission. Power losses are determined for the actual model of worm gear reducer, on the specialized testing device AT200 at the Center for testing power transmission at the Faculty of Engineering in Kragujevac, Serbia. The total losses are determined for different values of input number of revolution, output torque and by variation of types of oil, according to the pre-defined experiment plan. The aim of the paper is an experimental proof of theoretical assumptions of the influence of various factors on losses in the worm gear reducer.
Worm gearboxes (WG) are frequently used in many areas of the industry. WG is different from other gearbox types and due to their working principles they are under high risk of wear and fault. ...Therefore, detection of faults that may occur in WG and taking measures accordingly are especially important for systems and facilities that require uninterrupted operation. This paper introduces an intelligent feature selection and classification method for fault diagnosis of WGs under different working conditions. The novelty of the study lies in the selection of feature sources and different loading and speed conditions for condition monitoring studies of WGs experimentally. Fault detection and classification were performed based on vibration, sound and thermal images data which were acquired and processed from the healthy and the faulty WG. Apart from classical studies, time and frequency domain features and thermal images features were extracted and evaluated singularly, dual or triple forms with ANN (Artificial Neural Network) and SVM (Support Vector Machines) classifiers. Reasonable classification performances for fault detection were observed when the features of all three sources used (99.2% with ANN and 98.7% with SVM). ANN and SVM classification performances are almost equal for fault classification (98.9% with SVM and 98.6% with ANN). The findings of the study would be a possible means for online condition monitoring of industrial plants, conveyors, elevators, etc.
One of the most difficult production geometry tasks arising in the machining process of the elements of a drive pair is to avoid undercuts. It is a serious technological challenge to determine the ...production of the elements of worm gear drives avoiding the phenomenon undercut, especially in the case of a pair consisting of a curved profile worm and its mating wheel. The technology of forming the tooth surface requires a separate examination in each case, running the simulation procedure of the tool geometry and the movement conditions when forming different teeth. This article proposes a new concept for determining and then avoiding the positions of undercutting by examining the patented worm with a circular arc profile in axial section, due to its extremely advantageous aspect in terms of production technology. The cutting edge of the hob, formed from the substitutional worm, moves on the tooth surface of the worm, and produces the tooth surface of the conjugate wheel. The gear tooth surface has been determined based on the main law of gearing with the lines consisting of the contact points of the conjugated surfaces. The conditions for the disappearance of the common normal or the relative velocity fitting to the common tangent plane of the contacting points are defined in this paper.
Abstract
To solve the problem of equipment installation space shortage in industrial automation sites, a set of hybrid transmission schemes was designed with a two-stage 2K-H(NGW) planetary reducer ...as the main transmission mechanism combined with a fixed shaft gear train and worm gear and worm mechanism. At the same time, to obtain the design parameters of the electric actuator more quickly and accurately, with the minimum volume and maximum efficiency of the main transmission mechanism as the design objectives, the multi-objective function mathematical model is established under the conditions of meeting the gear matching, displacement coefficient, strength, and overlap degree, and the non-dominated sorting genetic algorithm II (NSGA-II) is used to solve the mathematical model. The research results show that the volume of the main transmission mechanism is reduced by 13.6%, the transmission ratio is increased by 1.54%, but the transmission efficiency is reduced by 3.32% when the strength and life of the gear are equal.
The Grinding of the Worm for Worm Gear Set Nguyen, Duy Hoang; Chang, Shinn Liang; Nguyen, Truong Giang ...
Key engineering materials,
08/2018, Letnik:
775
Journal Article
Recenzirano
Worm gear set is composed by the worm and worm wheel. It is an important transmission device for crossed axes transmission with high gear ratio. Worm gears can be produced in several ways, depending ...on the size of the transmission, the number of threads, the type of the worm and the purpose of application, etc. The contact is highly related to the precision of tooth profile. The best way to control the characteristic of contact is done by the modified worm profile. This paper deals with the manufacture of ZI-Worm whose theoretical tooth surface is generated by a screw motion of a straight line. In order to manufacture the worm with modified high precision tooth profile, the most important consideration is how to develop the profile of the grinding wheel in the worm grinding process. It is the essential requirement for the development of grinding machine for the worm. This article therefore deals with the problems of how to generate the profile of the grinding wheel. By the development of the grinding machine, we can complete the worm surface and tools for the production.
Abstract
To explore the thermal elastohydrodynamic lubrication performance of rolling cone enveloping end face worm drive, the mathematical model of thermal elastohydrodynamic lubrication is ...established based on the meshing theory of rolling cone enveloping end face worm drive and elastohydrodynamic lubrication theory. With the help of the numerical analysis software MATLAB, the thermal elastohydrodynamic lubrication performance under smooth conditions is selectively analyzed by the multigrid method. Besides, the effects of throat coefficient, cone apex radius and half cone angle of the rolling cone on thermal elastohydrodynamic lubrication performance are analyzed at the meshing out of the transmission pair. The results show that the thermal elastohydrodynamic lubrication film thickness at meshing out of the worm gear is the smallest; the oil film thickness, oil film pressure and oil film temperature are reduced from meshing in to meshing out. The oil film temperature at the interlayer is the largest. The oil film temperature at the end face worm surface is the smallest. The small half-cone angle of the cone apex radius and larger throat coefficient and cone apex radius may achieve better thermal elastohydrodynamic lubrication performance of rolling cone enveloping end face worm drive.