Mathematical model of an air-swept centrifugal grit grinding mill

1992 ◽  
Vol 28 (1) ◽  
pp. 28-31
Author(s):  
A. I. Zaitsev ◽  
D. O. Bytev
Keyword(s):  
Mathematical Model ◽  
Grinding Mill

Finite Element Analysis of High - Pressure Grinding Mill

2011 ◽  
Vol 314-316 ◽  
pp. 675-681
Author(s):  
Yi Liu ◽  
Ji Shun Li
Keyword(s):  
Mathematical Model ◽  
Finite Element Method ◽  
Finite Element ◽  
High Pressure ◽  
Fem Simulation ◽  
Element Analysis ◽  
Important Index ◽  
Set Up ◽  
The Mathematical Model ◽  
Grinding Mill

The stress distribution of the high - pressure grinding roller is an important index of the grinding mill design. A simulation model of high - pressure grinding roller is created by means of finite element method (FEM), utilizing the FEM software ANSYS. At first, the paper calculated the pressure of the high - pressure grinding roller by the grinding materiel mathematical model. Secondly, a physical model is set up material characteristics is defined and the areas are meshed, then the border conditions are established, finally loading and solving are made. The result of the FEM simulation indicated the mathematical model of the grinding materiel is rational.

Mathematical model of hit phenomena and its application to movie advertisement

2008 ◽  
Author(s):  
Ishii Akira ◽  
Yoshida Narihiko ◽  
Hayashi Takafumi ◽  
Umemura Sanae ◽  
Nakagawa Takeshi
Keyword(s):  
Mathematical Model

A MATHEMATICAL MODEL FOR PARTICLE CLASSIFICATION

1988 ◽  
Vol 8 (2) ◽  
pp. 133-144 ◽  
Author(s):  
Chunxuan Jiang
Keyword(s):  
Mathematical Model ◽  
Particle Classification

Harrison's Grinding Mill

1854 ◽  
Vol 9 (44) ◽  
pp. 345-345
Keyword(s):  
Grinding Mill

Imprecision of Laboratory Determinations and Diagnostic Accuracy: Theoretical Considerations

1974 ◽  
Vol 13 (03) ◽  
pp. 151-158 ◽  
Author(s):  
D. A. B. Lindbebo ◽  
Fr. R. Watson
Keyword(s):  
Mathematical Model ◽  
Diagnostic Accuracy ◽  
Diagnostic Process ◽  
Clinical Laboratories ◽  
Non Linear ◽  
Theoretical Considerations ◽  
Made In

Recent studies suggest the determinations of clinical laboratories must be made more precise than at present. This paper presents a means of examining benefits of improvement in precision. To do this we use a mathematical model of the effect upon the diagnostic process of imprecision in measurements and the influence upon these two of Importance of Diagnosis and Prevalence of Disease. The interaction of these effects is grossly non-linear. There is therefore no proper intuitive answer to questions involving these matters. The effects can always, however, be calculated.Including a great many assumptions the modeling suggests that improvements in precision of any determination ought probably to be made in hospital rather than screening laboratories, unless Importance of Diagnosis is extremely high.

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