Sliding Surface Interface Temperatures

1973 ◽  
Vol 95 (1) ◽  
pp. 59-64 ◽  
Author(s):  
N. H. Cook ◽  
B. Bhushan
Keyword(s):  
Surface Topography ◽  
Temperature Rise ◽  
Surface Hardness ◽  
Thermal Parameters ◽  
Interface Temperature ◽  
Sliding Surface ◽  
Effective Surface ◽  
Basic Model

An analysis is proposed for estimating the average interface temperature rise during sliding of two surfaces. The basic model includes surface topography statistics, frictional conditions, the effective surface hardness, and thermal parameters. In 75 percent of the material pairs studied, the analysis gives fairly good results. It appears applicable to either dry or lubricated surfaces.

Interface Temperature Measurement and Experimental Studies of Super-High Speed Polishing of CVD Diamond Films

2010 ◽  
Vol 135 ◽  
pp. 271-276
Author(s):  
Shu Tao Huang ◽  
Li Zhou ◽  
Li Fu Xu
Keyword(s):  
Stainless Steel ◽  
Temperature Measurement ◽  
Temperature Rise ◽  
Diamond Film ◽  
High Speed ◽  
Experimental Studies ◽  
Pure Titanium ◽  
Cvd Diamond ◽  
Interface Temperature ◽  
Cvd Diamond Film

Super-high speed polishing of diamond film is a newly proposed method due to its outstanding features such as low cost and simple apparatus. The interface temperature rise is due to the friction force and the relative sliding velocity between the CVD diamond film and the polishing metal plate surface. In this paper, the interface temperature rise in super-high speed polishing of CVD diamond film was investigated by using the single-point temperature measurement method. Additionally, the influence of polishing plate material on the characteristics of super-high speed polishing has been studied. The results showed that cast iron is not suitable for super-high polishing, while both 0Cr18Ni9 stainless steel and pure titanium can be used for the super-high polishing of CVD diamond film. The quality and efficiency of polishing with 0Cr18Ni9 stainless steel plate is much higher than those of pure titanium, and the material removal rate could reach to 36-51 m/h when the polishing speed and pressure are 100 m/s and 0.17-0.31 MPa, respectively.

Braking performance of a novel frictional-magnetic compound disc brake for automobiles

2018 ◽  
Vol 233 (10) ◽  
pp. 2443-2454 ◽  
Author(s):  
Yan Yin ◽  
Jiusheng Bao ◽  
Jinge Liu ◽  
Chaoxun Guo ◽  
Tonggang Liu ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Temperature Rise ◽  
Friction Material ◽  
Maximum Temperature ◽  
Interface Temperature ◽  
Disc Brake ◽  
Braking Performance ◽  
Maximum Temperature Rise ◽  
Disc Brakes ◽  
Braking Torque

Disc brakes have been applied in various automobiles widely and their braking performance has vitally important effects on the safe operation of automobiles. Although numerous researches have been conducted to find out the influential law and mechanism of working condition parameters like braking pressure, initial braking speed, and interface temperature on braking performance of disc brakes, the influence of magnetic field is seldom taken into consideration. In this paper, based on the novel automotive frictional-magnetic compound disc brake, the influential law of magnetic field on braking performance was investigated deeply. First, braking simulation tests of disc brakes were carried out, and then dynamic variation laws and mechanisms of braking torque and interface temperature were discussed. Furthermore, some parameters including average braking torque, trend coefficient and fluctuation coefficient of braking torque, average temperature, maximum temperature rise, and the time corresponding to the maximum temperature rise were extracted to characterize the braking performance of disc brakes. Finally, the influential law and mechanism of excitation voltage on braking performance were analyzed through braking simulation tests and surface topography analysis of friction material. It is concluded that the performance of frictional-magnetic compound disc brake is prior to common brake. Magnetic field is greatly beneficial for improving the braking performance of frictional-magnetic compound disc brake.

The Analysis of Thermoelectric Signals in Metallic Sliding

1989 ◽  
Vol 111 (1) ◽  
pp. 114-120 ◽  
Author(s):  
Jui-Hsieh Shen ◽  
C. M. Ettles ◽  
H. A. Scarton
Keyword(s):  
Power Spectrum ◽  
Surface Temperature ◽  
Surface Topography ◽  
Temperature Rise ◽  
Signal Analysis ◽  
Steel Surface ◽  
Power Spectra ◽  
Average Temperature ◽  
Voltage Signal ◽  
Temperature Signal

The thermoelectric signal from an Alumel pin sliding over a steel surface was recorded and analyzed. The load, speed and surface topography were varied and correlations were attempted of the voltage signal against several parameters. The average temperature of the whole contact was found to agree fairly consistently with the surface temperature rise models of Blok and Archard. Of the available methods of signal analysis, the power spectrum of the voltage signal was found to give the best understanding of the micro-mechanisms of sliding, particularly when compared against the power spectra of profilometer signals. The largest component of the temperature signal was found to be caused by wavelength components equal to the extent of the contact. The correlation distance β* of the test surfaces was much less than the contact extent and contributed negligibly to the voltage signal rise.

Magnetic Head-Media Interface Temperatures: Part 2—Application to Magnetic Tapes

1987 ◽  
Vol 109 (2) ◽  
pp. 252-256 ◽  
Author(s):  
B. Bhushan
Keyword(s):  
Analytical Model ◽  
Magnetic Particles ◽  
Temperature Drop ◽  
Interface Temperature ◽  
Thermal Gradients ◽  
Asperity Contact ◽  
Sliding Surface ◽  
Magnetic Head ◽  
Head Surface ◽  
Radiometric Technique

An analytical model has been used to predict the interface temperature of a typical magnetic head-tape contact and of isolated (exposed) magnetic particles in contact with the head. Average and maximum interface temperatures for the assumed head-tape interface are about 7° and 10° C, respectively. If the exposed magnetic particles contact the head surface, the average and maximum temperture rises could be about 600° and 900° C, respectively. The duration of an asperity contact is about 2 to 4 μs and the thermal gradients perpendicular to the sliding surface are very large (a temperature drop of 90 percent in a depth of less than the radius of an asperity contact or a few micrometers). The predicted temperatures are compared with the temperatures previously measured using an infrared radiometric technique.

Research on the Relationship Between Turning Temperature Rising and Turning Vibration Based on Particle Swarm Optimization

2020 ◽  
Author(s):  
Daquan Li ◽  
Shuncai Li ◽  
Yuting Hu ◽  
Ziyao Chen
Keyword(s):  
Particle Swarm Optimization ◽  
Prediction Model ◽  
Temperature Rise ◽  
Particle Swarm ◽  
Principal Component ◽  
Interface Temperature ◽  
Depth Of Cut ◽  
Swarm Optimization ◽  
Independent Variables ◽  
Dependent Variables

In order to study the correlation between turning temperature, turning vibration and turning parameters, a prediction model for turning temperature (workpiece-tool interface temperature) was established. Through the turning test, the turning temperature near the knifepoint was collected by the infrared thermometer, and the time domain signal of turning vibration was collected by the three-way acceleration sensor. Principal component analysis (PCA) and response surface method (RSM) were used to analyze the characteristic values of vibration acceleration and turning temperature under different turning parameters. The analysis shows that the cutting depth (depth of cut) is the key factor that affects the turning vibration and the turning temperature. Model A was established with turning parameters as independent variables and turning temperature rise as dependent variables, and model C was established with turning parameters and turning vibration as independent variables and turning temperature rise as dependent variables. B and D are the models obtained by using adaptive particle swarm optimization (APSO) algorithm based on A and C. According to the test results of the model, the correlation coefficient of the prediction model is D>C=B>A, indicating that the multiple regression model B and D optimized by APSO can better predict the turning temperature rise.

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