On-board determination of the friction coefficient between tire and road using standard-application vehicle dynamics sensors

2016 ◽  
pp. 737-743
Keyword(s):  
Friction Coefficient ◽  
Vehicle Dynamics ◽  
Standard Application

scholarly journals New Equation for Predicting Pipe Friction Coefficients Using the Statistical Based Entropy Concepts

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 611
Author(s):  
Yeon-Woong Choe ◽  
Sang-Bo Sim ◽  
Yeon-Moon Choo
Keyword(s):  
Friction Coefficient ◽  
Accurate Determination ◽  
Mean Velocity ◽  
Friction Coefficients ◽  
Flow Discharge ◽  
Comparison Results ◽  
Flow Loss ◽  
Key Variables ◽  
New Equation

In general, this new equation is significant for designing and operating a pipeline to predict flow discharge. In order to predict the flow discharge, accurate determination of the flow loss due to pipe friction is very important. However, existing pipe friction coefficient equations have difficulties in obtaining key variables or those only applicable to pipes with specific conditions. Thus, this study develops a new equation for predicting pipe friction coefficients using statistically based entropy concepts, which are currently being used in various fields. The parameters in the proposed equation can be easily obtained and are easy to estimate. Existing formulas for calculating pipe friction coefficient requires the friction head loss and Reynolds number. Unlike existing formulas, the proposed equation only requires pipe specifications, entropy value and average velocity. The developed equation can predict the friction coefficient by using the well-known entropy, the mean velocity and the pipe specifications. The comparison results with the Nikuradse’s experimental data show that the R2 and RMSE values were 0.998 and 0.000366 in smooth pipe, and 0.979 to 0.994 or 0.000399 to 0.000436 in rough pipe, and the discrepancy ratio analysis results show that the accuracy of both results in smooth and rough pipes is very close to zero. The proposed equation will enable the easier estimation of flow rates.

Determination of friction coefficient in journal bearings

2007 ◽  
Vol 28 (3) ◽  
pp. 973-977 ◽  
Author(s):  
Bekir Sadık Ünlü ◽  
Enver Atik
Keyword(s):  
Friction Coefficient ◽  
Journal Bearings

scholarly journals Study of the nature of the dynamic coefficient of internal friction of grainmaterials

2019 ◽  
Vol 135 ◽  
pp. 01102
Author(s):  
Dmitriy Savenkov ◽  
Oleg Kirischiev ◽  
Ylia Kirischieva ◽  
Tatiana Tupolskikh ◽  
Tatiana Maltseva ◽  
...  
Keyword(s):  
Friction Coefficient ◽  
Internal Friction ◽  
Agricultural Production ◽  
Mechanical Characteristics ◽  
Dynamic Coefficient ◽  
Bulk Materials ◽  
Dynamic Coefficients ◽  
Internal Friction Coefficient ◽  
Physical And Mechanical Characteristics

The article highlights the issues related to the study of physical and mechanical characteristics of bulk materials, namely internal friction coefficients in static and dynamic modes. An innovative device of the carousel type for determining the frictional characteristics of bulk materials is described, which allows to implement the tasks of practical determination of dynamic coefficients of internal friction. Presented the program, methodology and results of research on the practical study of the internal friction coefficient of typical bulk products of agricultural production in the range of linear velocities of displacement of layers from 0 to 2.79 m/s, the reliability of which is not lower than 0.878.

Determination of the Friction Coefficient During Glass Polishing

2008 ◽  
Vol 33 (1) ◽  
pp. 55-61 ◽  
Author(s):  
N. Belkhir ◽  
D. Bouzid ◽  
V. Herold
Keyword(s):  
Friction Coefficient ◽  
Glass Polishing
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