Influence of weather conditions on sliding over ice at a push-start training facility

Jansons, Ernests; Irbe, Martins; Gross, Kārlis Agris

doi:10.1016/j.biotri.2020.100152

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…Aimed at the frosting on a horizontal cylindrical surface, they found that, when the humid air temperature changes between 9.9°C to 20.3°C, the frost layer thickens with the temperature [ 17 ]. Additionally, Jansons et al (2021) reached a consistent conclusion that, the thickness of the frost layer and the quality of frost increase with the humidity of the air, but decrease with the increase of the wall temperature [ 18 ]. Lei et al (2021) investigated the frosting process on the aluminum surface under laminar flow conditions.…”

Section: Introductionmentioning

confidence: 99%

Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm

Yu¹,

Luo²,

Chu

2021

PLoS ONE

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The study is aimed at the frosting problem of the air source heat pump in the low temperature and high humidity environment, which reduces the service life of the system. First, the frosting characteristics at the evaporator side of the air source heat pump system are analyzed. Then, a new defrost technology is proposed, and dimensional theory and neural network are combined to predict the transfer performance of the new system. Finally, an adaptive network control algorithm is proposed to predict the frosting amount. This algorithm optimizes the traditional neural network algorithm control process, and it is more flexible, objective, and reliable in the selection of the hidden layer, the acquisition of the optimal function, and the selection of the corresponding learning rate. Through model performance, regression analysis, and heat transfer characteristics simulation, the effectiveness of this method is further confirmed. It is found that, the new air source heat pump defrost system can provide auxiliary heat, effectively regulating the temperature and humidity. The mean square error is 0.019827, and the heat pump can operate efficiently under frosting conditions. The defrost system is easy to operate, and facilitates manufactures designing for different regions under different conditions. This research provides reference for energy conservation, emission reduction, and sustainable economic development.

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Section: Introductionmentioning

confidence: 99%

Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm

Yu¹,

Luo²,

Chu

2021

PLoS ONE

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“…In contrast, the classic metrics such as top speed or runtime strongly depend on the conditions, e.g. Jansons et al [35] showed that weather conditions had a significant effect on the runtime even on a short starting track. However, also for our proposed relative loss energy difference, there can be indirect influences from the conditions, e.g.…”

Section: Limitationsmentioning

confidence: 99%

Modeling Ice Friction for Vehicle Dynamics of a Bobsled with Application in Driver Evaluation and Driving Simulation

von Schleinitz,

Wörle,

Graf

et al. 2021

Preprint

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We provide an ice friction model for vehicle dynamics of a two-man bobsled which can be used for driver evaluation and in a driver-in-the-loop simulator. Longitudinal friction is modeled by combining experimental results with finite element simulations to yield a correlation between contact pressure and friction. To model lateral friction, we collect data from 44 bobsleigh runs using special sensors. Non-linear regression is used to fit a bob-specific one-track vehicle dynamics model to the data. It is applied in driving simulation and enables a novel method for bob driver evaluation. Bob drivers with various levels of experience are investigated. It shows that a similar performance of the top drivers results from different driving styles.

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“…Weather is an issue because it can affect the water layer thickness. My team has recently performed experiments with a skeleton sled and showed that humidity, air temperature, and ice temperature jointly influence the sliding speed [4]. We have also looked at the effect of slider surface topography and loading on sliding speed [5].…”

Section: A Penetrating Look At Ice Frictionmentioning

confidence: 99%

A Penetrating Look at Ice Friction

Gross

2021

Physics

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Influence of weather conditions on sliding over ice at a push-start training facility

Cited by 7 publications

References 17 publications

Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm

Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm

Modeling Ice Friction for Vehicle Dynamics of a Bobsled with Application in Driver Evaluation and Driving Simulation

A Penetrating Look at Ice Friction

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