scholarly journals MATHEMATICAL MODEL OF PETROL ENGINE WORKING ON ATKINSON CYCLE

2019 ◽  
Vol 0 (1) ◽  
pp. 8-14
Author(s):  
Т. М. Колеснікова ◽  
В. Г. Заренбін ◽  
О. П. Сакно ◽  
В. П. Олло
Author(s):  
Vojtěch Kumbár ◽  
Josef Glos ◽  
Jiří Votava

Awareness of engine oil condition is a valuable indicator for assessing the state of degradation of the lubricant. The article deals with monitoring of chemical elements, especially metals and additives, during lifetime of commercially distributed automobile engine oil Castrol Magnatec 10W–40. Engine oil was regarded as a Newtonian fluid. The passenger car Renault Scenic I with petrol engine (four pistons, volume 1,600 cm3) was used to the observed. Lifetime of automobile engine oil has been stated by car and lubricants producers in interval 15,000 km. The samples of automobile engine oil have been taken in suitable intervals – 1,500 km. Only first sample of used engine oil was taken with raid 20 km. The seasons of monitoring were spring and summer. The spectrometer Spectroil Q100 has been used to monitoring of chemical elements in automobile engine oil. Increase contents of metals and decrease contents of additives were observed. The results were modelled using mathematical models with given the values of coefficient correlation R. Linear function as a mathematical model with the lowest number of degrees of freedom was used. Created mathematical models can be used to predict of conditions of engine oil in the same or similar petrol engine aggregates.


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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