Analysis of no-load dependent power losses in a planetary gear train by using thermal network method

Gevigney, Jérôme Durand de; Changenet, Christophe; Ville, Fabrice; Velex, Philippe; Becquerelle, Samuel

doi:10.1533/9781782421955.615

Cited by 6 publications

(8 citation statements)

References 6 publications

(6 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The test parameters are presented in Table 8. As far as the gear is concerned, values were chosen to be in accordance with aeronautical applications [30]. It can be noted that when the oil jet is greater than the disc peripheral velocity, then the exchange is stagnated (the slope decreases).…”

Section: Rotational Speed and Oil Flow Ratementioning

confidence: 99%

“…The test parameters are presented in Table 8. As far as the gear is concerned, values were chosen to be in accordance with aeronautical applications [30]. The post-processing of the different experiments allows Figure 13 to be plotted, which represents the (hS) oil product as a function of the gear rotational speed ranging from 150 to 5000 rpm.…”

Section: Spur Gear 421 Rotational Speed and Oil Flow Ratementioning

confidence: 99%

See 1 more Smart Citation

A New Experimental Methodology to Study Convective Heat Transfer in Oil Jet Lubricated Gear Units

Torres,

Changenet,

Touret

et al. 2023

Lubricants

View full text Add to dashboard Cite

The purpose of this study is to generate some experimental data associated with the thermal heat exchange between an oil jet flow and a rotating gear. To this end, a specific test bench was designed. The principle of this test bench is to inject oil heated to a temperature of about 80 °C onto a rotating test sample at ambient temperature. Temperature measurements of the oil via injection nozzles and the rotating component allow the determination of the heat flow between these elements using a numerical method developed to this end. This test rig enables the study of the parameters that may affect heat exchange, such as oil flow rate and injection temperature, nozzle geometry and position, gear rotational speed and tooth geometry, or oil characteristics. In this study, three of these parameters were investigated, namely the test sample rotational speed, the oil flow rate, and the oil jet velocity. The experiments were conducted on an aluminum disc and spur gear. Subsequently, the experimental results were compared with existing models that represent the convective exchanges between oil and a gear. Some discrepancies between existing models and experimental results appear at high rotational speeds, underlining that the convective heat transfer does not always increase with this parameter.

show abstract

Section: Rotational Speed and Oil Flow Ratementioning

confidence: 99%

Section: Spur Gear 421 Rotational Speed and Oil Flow Ratementioning

confidence: 99%

A New Experimental Methodology to Study Convective Heat Transfer in Oil Jet Lubricated Gear Units

Torres,

Changenet,

Touret

et al. 2023

Lubricants

View full text Add to dashboard Cite

show abstract

“…The TNM is used for heat balance and temperature calculation of gearboxes. For example, the TNM was applied by Funck [12], Changenet et al [3] and Liu et al [23] on spur gears; Monz [27] and Paschold et al [32] on worm gears; Fossier et al [11] on hypoid gears; Chen et al [4], Durand de Gevigney et al [8] and Xiao et al [47] on planetary gears and Sucker [43] on crossed helical gears. All these studies refer to steady state operation conditions, where it is:…”

Section: Temperature Calculationmentioning

confidence: 99%

Calculating component temperatures in gearboxes for transient operation conditions

Paschold

Sedlmair

Lohner

et al. 2021

Forsch Ingenieurwes

View full text Add to dashboard Cite

The knowledge of component temperatures during transient operation conditions is essential for an optimal design of a gearbox. This is because critical peak temperatures limit the transferable power as well as the load capacity. Moreover, understanding the thermal behavior of the gearbox is key to improving its efficiency. Therefore, the Thermal Network Method (TNM) of the calculation program WTplus was extended to calculate component temperatures in gearboxes for transient operation conditions. Specifically, the TNM considers the component masses and specific heat capacities of each node modelling the gearbox structure. This enables the algorithm to compute a corresponding system of differential equations and thus determine the temperature change over time. Therefore, WTplus can be used to identify critical gearbox component temperatures during load cycles. The applied method was validated with measurements collected at the FZG gear efficiency test rig.

show abstract

“…When R e \ 2500 and R À0:6 e F À0:25 r \ 8:7310 À3 , the coefficient C md will be expressed by equation (12); when R e \ 2500 and R À0:6 e F À0:25 r ø8:7310 À3 , the coefficient C md will be expressed by equation (13); and when R e ø2250, the coefficient C md will be expressed by equation (14).…”

Section: Oil Churning Lossmentioning

confidence: 99%

“…Stosur et al 13 applied TNM to model the temperature conditions in typical geographical information system compartment arrangements, which made sense in analyzing the temperature behavior of the product component in its working environment. Gevigney et al, 14 employed TNM to investigate the power losses distribution in planetary gears and concluded that load-independent power losses were mainly due to hydrodynamic power losses generated in planets bearings.…”

Section: Introductionmentioning

confidence: 99%

Bulk temperature prediction of a two-speed automatic transmission for electric vehicles using thermal network method and experimental validation

Liu

Peng

Wang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

Nowadays, the development of electric vehicle equipped with a two-speed automatic transmission has become a hotspot. As well known, the automatic transmission operates with power loss including gear meshing loss, bearing loss, and oil churning loss. This paper focuses on the bulk temperature prediction of a two-speed automatic transmission using thermal network method. An integrated model, including an efficiency model and a heat balance model, is proposed, which makes it possible to predict power loss, bulk temperature, and temperature distributions under different conditions. In the efficiency model, each part of power losses from gear meshes is studied to calculate the summation of mechanical power losses in the transmission, including losses of gear meshing, bearing and oil churning. In the heat balance model, the entire gearbox is divided into elements with a uniform temperature connected by thermal resistances which account for conduction, convection, and radiation, based upon the first law of thermodynamics for transient conditions. The effectiveness of bulk temperature prediction using thermal network method is validated by the comparison between simulation results and the experimental data. Consequently, this study on heat transfer characteristics, thermal characteristics, and bulk temperature prediction of the two-speed automatic transmission has significant academic and application values.

show abstract

Analysis of no-load dependent power losses in a planetary gear train by using thermal network method

Cited by 6 publications

References 6 publications

A New Experimental Methodology to Study Convective Heat Transfer in Oil Jet Lubricated Gear Units

A New Experimental Methodology to Study Convective Heat Transfer in Oil Jet Lubricated Gear Units

Calculating component temperatures in gearboxes for transient operation conditions

Bulk temperature prediction of a two-speed automatic transmission for electric vehicles using thermal network method and experimental validation

Contact Info

Product

Resources

About