A study on the analysis of grinding mechanism and development of dressing system by using optimum in-process electrolytic dressing

1997 ◽  
Vol 37 (12) ◽  
pp. 1673-1689 ◽  
Author(s):  
Eun-Sang Lee ◽  
Jeong-Du Kim
2013 ◽  
Vol 753-755 ◽  
pp. 277-280 ◽  
Author(s):  
Wei Xiang Liu

Nano-ceramic materials had high hardness and wear resistance. Combined with current technology and cost saving, nanostructured coatings technology were carried out, using HVOF ( high velocity oxygen fuel) or plasma spraying technique can obtain high quality ceramic coating on metal substrate. Ceramic coatings produced cracks in the grinding due to grinding surface residual stress. the coatings grinding surface residual stress of engineering ceramics have been researched, grinding surface residual stress in the nanostructured ceramic coatings are being researched. the researches in this field include grinding process modeling, abrasives and grinding parameters, grinding process monitoring and control and realization of the software, the grinding mechanism and grinding damage on the surface, grinding force prediction, on-line detection, grinding on nanocoating material is a multivariable complex process.


2011 ◽  
Vol 487 ◽  
pp. 39-43 ◽  
Author(s):  
L. Tian ◽  
Yu Can Fu ◽  
W.F. Ding ◽  
Jiu Hua Xu ◽  
H.H. Su

Single-grain grinding test plays an important part in studying the high speed grinding mechanism of materials. In this paper, a new method and experiment system for high speed grinding test with single CBN grain are presented. In order to study the high speed grinding mechanism of TC4 alloy, the chips and grooves were obtained under different wheel speed and corresponding maximum undeformed chip thickness. Results showed that the effects of wheel speed and chip thickness on chip formation become obvious. The chips were characterized by crack and segment band feature like the cutting segmented chips of titanium alloy Ti6Al4V.


Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1784
Author(s):  
Yong Hu ◽  
Boyu Ping ◽  
Deliang Zeng ◽  
Yuguang Niu ◽  
Yaokui Gao

Monitoring and diagnosis of coal mill systems are critical to the security operation of power plants. The traditional data-driven fault diagnosis methods often result in low fault recognition rate or even misjudgment due to the imbalance between fault data samples and normal data samples. In order to obtain massive fault sample data effectively, based on the analysis of primary air system, grinding mechanism and energy conversion process, a dynamic model of the coal mill system which can be used for fault simulation is established. Then, according to the mechanism of various faults, three types of faults (i.e., coal interruption, coal blockage and coal self-ignition) are simulated through the modification of model parameters. The simulation shows that the dynamic characteristic of the model is consistent with the actual object, the relative error of each output variable is less than 2.53%, and the total average relative error of all outputs is about 1.2%. The model has enough accuracy and adaptability for fault simulation, and the problem of massive fault samples acquisition can be effectively solved by the proposed method.


2020 ◽  
Vol 112 (1-2) ◽  
pp. 87-105
Author(s):  
Mohammed Al-Nehari ◽  
Guoxing Liang ◽  
Lyu Ming ◽  
Waled Yahya ◽  
Ali Algaradi ◽  
...  

Author(s):  
Li Hua Dong ◽  
C.H. Fan ◽  
Ju Long Yuan ◽  
Z.W. Wang ◽  
H. Yang
Keyword(s):  

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