Search Results

The subject is technology for damping forced vibration in the multiplate wet clutches used in hybrid vehicle transmissions. As a predictive technique for forced vibration caused by the structure of the clutch, three-dimensional simulation was used in the present study to anticipate the modes of vibration that occur. Next, a one-dimensional simulation was created as a predictive technique for drivetrain torsional vibration from the engine to the driveshaft. The one-dimensional simulation created was used to extract the modes of operation that are severe with regard to forced vibration from target values for vibration anticipated from the vehicle body. The results obtained were used with three-dimensional simulation to change the clutch structure to provide greater latitude with regard to the target for forced vibration.

A clutch FEM model was created to quantitatively understand the operation and dynamic friction characteristics of the facing materials. And a simulation model for dynamic behavior analysis of the torque transmission characteristics from a transmission that incorporates drivetrain damping characteristics to the vehicle body was constructed. The data of the actual vehicle was also measured when vibration occurs and loss torque is generated by friction in the drivetrain, and damping characteristics were determined from the measurement values. In order to confirm the usefulness of this method, the construction of a clutch that suppresses self-excited vibration was examined by simulation and the reduction of vibration in an actual vehicle was confirmed.

The project discussed in this paper focused on the torque transmission characteristics of facing materials in order to enable desktop prediction of the torque capacity of the multiple plate clutches used in automatic transmissions (AT). The amount of torque transmitted by the facing materials themselves is affected by the temperature, contact pressure and sliding velocity of the friction surfaces. An analytic model of a test apparatus was therefore constructed, and the friction properties of the facing material were identified from the amount of torque transmitted. Next, a torque capacity prediction model, able to simulate the flow of torque transmission in the transmission, was constructed. This enabled torque capacity in an operating AT to be predicted for the first time with an accuracy to within ±5% of measured values.