Eigenvalues analysis of a diesel valve gear mathematical model

2020 ◽  
Author(s):  
Matej Mencinger ◽  
Jurij Avsec ◽  
Ciprian Chiruţă ◽  
Emilian Bulgariu ◽  
Brigita Ferčec
2000 ◽  
Vol 124 (1) ◽  
pp. 86-90 ◽  
Author(s):  
Jurij Avsec ◽  
Milan Marcic ◽  
Maks Oblak

This paper describes a new type of valve gear cam—MULTICAM—which consists of seven curves and allows an optimum cam profile design. In order to calculate the cinematic and dynamic values and to assess the minimum oil film thickness in the valve gear, the mathematical model of an ideal valve gear was used. In addition, the comparison of the results between the polysine cam and the new MULTICAM cam design was made. By means of the new cam design the Hertz pressures were reduced at the point of contact between the cam and the cam follower and the lubrication properties at the top of the cam improved.


1989 ◽  
Vol 42 (11S) ◽  
pp. S171-S174 ◽  
Author(s):  
J. A. Me´ndez-Adriani

This research presents a lumped-parameter model, distinct from the ones developed until the present time, easily adaptable for its analog/hybrid simulation, and that combines favorably its simplicity and precision to represent appropriately an automotive valve gear system by means of the inclusion of the hydraulic lifter and of the viscous forces produced by its guide. The checking of this new mathematical model has been accomplished by means of a qualitative comparison with other models previously devised. This model will be useful in the design stage to predict the speed at which the valve jump occurs.


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

1974 ◽  
Vol 13 (03) ◽  
pp. 151-158 ◽  
Author(s):  
D. A. B. Lindbebo ◽  
Fr. R. Watson

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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