Influence of gear loss factor on the power loss prediction

Fernandes, Carlos; Marques, Pedro M.T.; Martins, Ramiro C.; Seabra, Jorge

doi:10.5194/ms-6-81-2015

Cited by 16 publications

(4 citation statements)

References 4 publications

(15 reference statements)

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“…As illustrated, the model (1) consists of an electric motor, a torque sensor (3), gears and a coupling. The measurement model has two pairs of gears, a torque sensor is installed in the system's input shaft, a variable-speed electric motor drives the entire system and digital indicator (2). In one of the couplings, the two gears are divided into two parts for coupling with no relative movement between the two halves when working.…”

Section: Experimental Verificationmentioning

confidence: 99%

“…To calculate these losses, one must know the loads in every contributing machine element. A literature review [1][2][3][4][5] indicates that the sources of power loss are divided into load-dependent and load-independent components. The load-dependent power losses are the tooth friction and bearing friction, while the load-independent ones are the friction in the contact seals and the losses due to oil churning, windage, and oil squeezing during gear meshing.…”

Section: Introductionmentioning

confidence: 99%

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Using the Box–Behnken Response Surface Method to Study Parametric Influence to Improve the Efficiency of Helical Gears

Loc

Duy

2021

Machines

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Studying gear power loss theoretically and determining the efficiency of a helical gear drive depend on many geometrical and working parameters, such as rotation speed, tooth number, gear ratio, helix angle, and torque, among others. In this paper, the Plackett–Burman screening design and the Box–Behnken response-surface method are used to consider how the above parameters influence gear drive efficiency, and experimental models are provided to evaluate these influences. The present results can be used to select the efficiency when calculating and designing gear transmissions and to choose the parameters for improving gear transmission efficiency.

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Section: Experimental Verificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using the Box–Behnken Response Surface Method to Study Parametric Influence to Improve the Efficiency of Helical Gears

Loc

Duy

2021

Machines

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“…Besides Mao's FD model, the finite element (FE) model is also commonly implemented. Fernandes et al 10,11 predicted the maximum meshing temperature of POM gears via a semi-analytical method. They analytically calculated the frictional heat with a power loss model and numerically simulated the heat transfer process of generated frictional heat.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation on meshing temperature of multicomponent nylon gears by incorporating viscoelasticity

Gong

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part L:

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This study concerns a numerical analysis of the meshing temperature for a multicomponent nylon gear by incorporating typical viscoelastic responses of polymers. Firstly, the generalized Maxwell model parameters were calibrated by the dynamic mechanical analysis to capture the viscoelasticity of polyamide 66. Next, the finite element model predicting the meshing temperature was established, including the heat generation analysis model, which calculates the generation of the frictional and hysteretic heat, and the heat propagation analysis model, which simulates the heat transmission. Different material models were used for polyamide 66 to investigate the influences of temperature dependence, strain rate dependence, and hysteretic effect. The effect of the iteration sequence on the meshing temperature calculation was also analyzed, i.e., how the heat generation should be updated as the loading cycles increase. A reasonable iteration scheme was determined by balancing the computational precision and consumption. It is noteworthy that the evolution of the ambient temperature around the gear and the worm within the housing was also considered. Finally, the accuracy of such meshing temperature analysis was validated on a self-developed gear test rig, in terms of the peak temperature evolution on the gear side surface. The experimental results and the simulation with the ambient temperature correction match well and the maximum error is 5 °C.

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“…They concluded that the rotational speed has an influence on meshing time and the operating trapped fluid. Fernandes [12] have studied load distribution along the length of path of contact to estimate gear loss factor and its influence on power loss prediction and concluded that the classical formulas are accurate in some specific condition. Luis magalhaes et al, [13] have studied influence of tooth profile and oil formation on power loss.…”

Section: Introductionmentioning

confidence: 99%

Power loss analysis in altered tooth-sum spur gearing

2018

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Abstract. The main cause of power loss or dissipation of heat in case of meshed gears is due to friction existing between gear tooth mesh and is a major concern in low rotational speed gears, whereas in case of high operating speed the power loss taking place due to compression of air-lubricant mixture (churning losses) and windage losses due to aerodynamic trial of air lubricant mixture which controls the total efficiency needs to be considered. Therefore, in order to improve mechanical efficiency it is necessary for gear designer during gear tooth optimization to consider these energy losses. In this research paper the power loss analysis for a tooth-sum of 100 altered by ±4% operating between a specified center distance is considered. The results show that negative altered tooth-sum gearing performs better as compared to standard and positive altered tooth-sum gearing.

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Influence of gear loss factor on the power loss prediction

Cited by 16 publications

References 4 publications

Using the Box–Behnken Response Surface Method to Study Parametric Influence to Improve the Efficiency of Helical Gears

Using the Box–Behnken Response Surface Method to Study Parametric Influence to Improve the Efficiency of Helical Gears

Numerical investigation on meshing temperature of multicomponent nylon gears by incorporating viscoelasticity

Power loss analysis in altered tooth-sum spur gearing

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