Temperature dependent kinematic viscosity of different types of engine oils

Severa, Libor; Havlíček, Miroslav; Kumbár, Vojtěch

doi:10.11118/actaun200957040095

Cited by 26 publications

(14 citation statements)

References 8 publications

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“…This knowledge is very important for description of processes running in the combustion engines. The work follows the results published in Severa et al (2009).…”

Section: Viscosity Engine Oil Mathematical Modelingmentioning

confidence: 77%

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Changes of engine oil flow properties during its life cycle

Severa¹,

Havlíček²,

Čupera³

2014

Acta Univ. Agric. Silvic. Mendelianae Brun.

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The work is focused on quantification of influence of operation on flow properties of motorcycle engine oil. Three different kinds of synthetic engine oil (MOTUL) were tested, namely unused oil, run-in oil (650 km after engine reboring) and regular engine oil (6200 km of motorcycle operation). The samples were frozen to below zero temperatures and kinematic viscosity was continuously monitored in the range of −5 °C and +115 °C. Consequently, the kinematic viscosity at reference temperatures of 0, 40 and 100 °C was compared. Viscosity was measured by digital viscometer with concentric cylinders measuring geometry. The biggest difference occurred in case of lower temperatures where e.g. at 0 °C decrease to 29 % and 43 % of its original value was detected for used oil and run-in oil respectively. Flow behavior was modeled using several mathematical models –Arrhenius equation, exponential, and Gaussian equation. The best match between experimental and computed data was received in case of Gaussian fit with R2 = 0.997 and 0.992 for run-in and used oil, respectively. The models are generally usable for description of rheological behavior of given engine oil.

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“…This knowledge is very important for description of processes running in the combustion engines. The work follows the results published in Severa et al (2009).…”

Section: Viscosity Engine Oil Mathematical Modelingmentioning

confidence: 77%

“…There is a diff erence in measuring of kinematic viscosity of new and used oils (Maggi, 2006). The procedure used in Severa et al (2009) was used. The volume (200 ml) of oil was put into the specially designed cuvette without previous mixing.…”

Section: Viscosity Measurementmentioning

confidence: 99%

Changes of engine oil flow properties during its life cycle

Severa¹,

Havlíček²,

Čupera³

2014

Acta Univ. Agric. Silvic. Mendelianae Brun.

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“…The exponential function was most suitable function for using of results interpose by general form [11]:…”

Section: Methodsmentioning

confidence: 99%

Numerical modelling of pressure and velocity rates of flowing engine oils in real pipe

Kumbár¹

2015

EiN

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NumeryczNe modelowaNie ciśNieNia i prędkości przepływu oleju silNikowego przez przewód rurowy w waruNkach rzeczywistych IntroductionThe great amount of plants, engineers and researches now deal with how to save production costs in the production of certain products. The situation in engineering is same. Lowering material quantity for production can save considerable amount. But there is an issue how to save the material and keep the same quality goods or else production goods safety at the same time. The experimental costs can exceed savings themselves. In this case the numerical modelling can be very well proved [1] and [15].If the input has a good quality, [13] confirm that result can be very precise in case of using suitably chosen modelled methods. These obtained models can help to engineers to propose such parts which are not uselessly excessive but at the same time they should be safe in accordance to requested standards [14]. Ideal part shapes can be simulated as well both from the statistical view and dynamical viewelasticity, firmness, hydrodynamics, aerodynamics, thermodynamics etc. [10].According to publication [5] the numerical modelling of many physical phenomenon is closely connected to simulation of certain form of velocity by mathematical means. The liquid velocity is related to solutions of various problems which are given by physical simulation.Mathematical model consists in equations definition which describes processes above. In view of the fact that there are plane twodimensional processes, axially symmetrical or three-dimensional and timely dependent, there are described by partial differential system equations which must be solved by numerical methods. Their use is subjected to broaden knowledge from field of flowing, turbulence, numerical methods, and computer technology. Commercial programme systems can be used to solve flowing. User's task is to assemble correct calculating model which includes some mathematical, psychical and technical principles. It is necessary to find for such a model all input data in valid standards, carry out solution at terminal, and correctly interprets results for next use and also to carry out effective inspection in all phases of all input and output data. User has to categorize all information on geometrical data (two-dimensional or three-dimensional data, topology), external power data and physical data (information about flowing medium and its physical features). User´s necessary task is to have knowledge of hydro-mechanics, thermos-mechanics and other science by problem intricacy [2]. In this study is described the numerical modelling of physical state flowing engine oil in a real pipe by means finite element method. Specifically it is about to set the pressured and velocity rates along the pipe geometry. The theoretical idea is that the variation in viscosity and density of liquid causes significant changes in pressure drop and flow density [6] and [7]. Material and MethodsEngine oil feeding tube for turbo-blower was real technical component in this ...

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“…Engine oils are derived from petroleum and non-petroleum synthesized chemical compounds used to make synthetic oil. Engine oil mostly consists of hydrocarbons, organic compounds consisting entirely of carbon and hydrogen (Severa et al, 2009).…”

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confidence: 99%