Transmission Fluid Properties Effects on Performance Characteristics of a Torque Converter: A Computational Study

2021 ◽  
pp. 1-10
Author(s):  
Yang Yang ◽  
William W. Liou ◽  
Farrukh Qureshi ◽  
David J. Whitticar ◽  
Michael E. Huston
Author(s):  
J.-P. Karjalainen ◽  
R. Karjalainen ◽  
K. Huhtala

Hydraulic fluid is one of the most important components in every fluid power system. Therefore, fluid properties have to be known with a good accuracy in an increasing number of applications, for example in system’s design, modelling and control. The fluid of interest may be a power transmission fluid as well as a fuel. In defining the needed fluid characteristics, the large variety of different fluid types sets many demands for a single measuring system. Moreover, known fluid properties, of fuels in particular, are needed at constantly higher pressures and temperatures, raising the bar for practical measuring concepts — user-friendliness, safety and equipment cost are also essential criteria. In this paper, two accurate, but rather simple and affordable measuring concepts are presented. The speed of sound in a fluid, hydraulic fluid density and adiabatic tangent fluid bulk modulus are all defined with a direct measurement of the pressure wave propagation. The dynamic and kinematic fluid viscosities are defined with a remotely operated, modified falling ball viscometer. Both the presented methods have been developed further from the previously published concepts of the same authors. With these improved systems, all the mentioned fluid parameters can reliably be measured at up to at least 2,500 bar and at up to at least +150°C. Moreover, the same equipment can be applied to any type of hydraulic fluid, a fuel or a power transmission fluid, regardless of the base fluid, additives or viscosity grade. In addition to presenting the measuring concepts and the equipment used in detail, a selected sample of experimental results will also be presented to demonstrate the performance characteristics of the methods.


Author(s):  
Neelesh Bhandari ◽  
Murali Damodaran

The rope washer pump is a hydraulic device in which the rope consisting of equally spaced washers is pulled upward to displace the fluid volume to the desired head before delivering it at the outlet. The straightforward working principle, the ease of manufacture, and the low cost are the main advantages of this pump over a reciprocating pump. The rope washer pump can be either driven by electric motor, by a wind mill, or manually for pumping brine water for salt harvesting in rural areas. In this study computational fluid dynamics (CFD) modeling of the rope washer pump is used to estimate the performance characteristics of the pump. Experimental studies of rope pump can only provide data related to flow rate and head it can achieve, while using CFD it is possible to obtain insight about the flow physics inside the pump. These insights can be used to propose design improvements for more efficient pump operation. Unsteady, incompressible Navier-Stokes equations are solved using a finite volume scheme on unstructured hybrid polyhedral-prismatic overset meshes to obtain flow parameters and the volume of fluid (VOF) interface tracking method is used to capture the free water surface inside the pump by tracking the volume fraction of fluid on each cell. The k-ε turbulence model is used to model turbulence and the motion of the washer is handled by using overset mesh technique for the computation. Leakage between the washer and housing is also considered in this computation. Pump characteristics are calculated for different pump speeds. Thus the flow variables obtained by computation are used to predict the efficiency and flow rate at different washer speed. The pump characteristics define the behavior of the rope washer and are characterized by effective flow rate, volumetric efficiency, power input and the pump torque. These performance characteristics are extracted from the computed flow fields and used for evaluating the optimum range of pump speed, with highest efficiency and flow-rate. This model can serve as a basis for future design optimization studies.


1988 ◽  
Author(s):  
Katsuro Fujitani ◽  
Ryutaro Himeno ◽  
Michitoshi Takagi

2003 ◽  
Vol 9 (6) ◽  
pp. 403-410 ◽  
Author(s):  
C. L. Anderson ◽  
L. Zeng ◽  
P. O. Sweger ◽  
A. Narain ◽  
J. R. Blough

A unique experimental investigation of cavitation signatures in an automotive torque converter under stall conditions is reported. A quantitative criterion is proposed for predicting early and advanced cavitation in terms of suitable nondimensional pump speeds. The dimensionless pump speed that marks early cavitation is obtained by relating this parameter to the appearance of charge-pressure–dependent pressure fluctuations in the differential pressure transducer readings. The differential pressure transducers were mounted at well-defined locations in the pump passage of a torque converter. The data were transmitted by a wireless telemetry system mounted on the pump housing. Data were received and processed by a ground-based data acquisition system. Automatic transmission fluid exhibited cavitation for charge pressures of 70–130 psi and pump speeds of 1000– 2250 rpm. Advanced cavitation was marked by operating conditions that exhibited a 2% or more torque degradation from the converter's noncavitating performance.For a given family of torque-converter designs and a given transmission fluid, the proposed nondimensional pumpspeed criteria are capable of marking early and advanced stages of cavitation for a range of torque-converter sizes and a range of charge pressures in the torque converter.


Author(s):  
Subbaramu Shivaramaiah ◽  
Vinod K. Banthia ◽  
S. M. Vijay Kumar

A single stage torque converter consists of three elements — pump, stator and turbine. Pump and turbine are coupled by transmission fluid. Unlike a fluid coupling, however, a torque converter is able to multiply torque when there is a substantial difference between input and output rotational speed, thus providing the equivalent of a reduction gear. During its operation all these elements are subjected to centrifugal load, fluid pressure load and heat generated in transmission fluid. Overloading a converter can result in several failure modes, some of them potentially dangerous in nature: ballooning, blade deformation and defragmentation, overheating. In the current work a single stage torque converter, was modelled and analysed numerically for evaluating stress distribution and deformation. The engine operating speed at 2000 rpm was considered for analysis. For static analysis of torque converter components centrifugal load and fluid pressure load were considered. Analysis was carried out for six different speed ratios varying from zero to one. Variation of principal stresses (hoop stress and radial stress) and von-Mises stress has been discussed. Maximum stresses are found to be in pump at speed ratio of one and in turbine at speed ratio of zero. Maximum stresses are at shell core that is near to hub. Blade deformation in pump is maximum at coupling phase and in turbine it is maximum at stall condition. From these results it helps to predict the failure of torque converter components under different operating conditions.


2012 ◽  
Vol 430-432 ◽  
pp. 1610-1613
Author(s):  
You Shan Gao ◽  
Zhi Song ◽  
Ai Hong Wang ◽  
Ze Kun Jin

Through established the simulation model for the engine and the traction host powertrain of rolling impact compaction machine, Simulated the working load with time history with the simulation parameters of rolling impact compaction machine. The simulation accuracy was verified by compared between the test speed and the simulation speed. The speed, turbine torque, torque converter efficiency, torque converter, gear ratios, fuel consumption, engine power, torque are dynamic changes follow with the alternating load and slope load so as to adapt to the dynamic drag torque fluctuations. Traction host power must be equipped with a full host transmission of the internal combustion engine. Driveline should be hydraulic transmission fluid or hydraulic machinery.


2000 ◽  
Vol 122 (4) ◽  
pp. 198-204 ◽  
Author(s):  
Brenton S. McLaury ◽  
Siamack A. Shirazi ◽  
Tim L. Burden

Erosion is a complex phenomenon that depends on many factors such as fluid properties, solid particle properties, flow stream velocity, flow geometry, and type of metal. Flow modeling and particle tracking are important tools for predicting erosion. In erosion modeling, it is important to account not only for the factors that influence erosion, but also for changes in some of these factors that occur as the erosion process continues. For example, the change in the geometry resulting can have a significant impact on the erosion results. Geometry changes result when corners, found in couplings and chokes, are eroded with time. This change in geometry due to erosion can drastically change the flow field, especially the turbulent kinetic energy and dissipation rate. Recognizing this change is imperative, since the prediction of particle behavior is heavily dependent on the turbulent kinetic energy. Furthermore, more particle impingements occur in regions with higher turbulent kinetic energy. This paper shows that neglecting the change in the flow field solution resulting from the change in geometry can cause erroneous erosion predictions. A computational study was performed on a choke geometry to demonstrate the importance of incorporating the change in geometry resulting from erosion. Predicted turbulent kinetic energy contours are presented as a function of the changing choke geometry. The predicted erosion rates along the choke are also examined for the various scenarios, and these results are compared to experimental results. Additionally, experimental results obtained from laser doppler velocimeter (LDV) measurements also demonstrate the change in fluctuating velocity (turbulent kinetic energy) as a result of rounding of the entrance of the choke. Results from this study show that it is necessary to update the flow geometry and flow model based on the changing geometry due to erosion. [S0195-0738(00)01004-9]


2017 ◽  
Vol 26 (6) ◽  
pp. 483-489 ◽  
Author(s):  
Prasanth P. Nair ◽  
Abhilash Suryan ◽  
Heuy Dong Kim

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