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Technical Paper

A Mitigation Strategy for Steering Wobble Phenomenon in Passenger Vehicle

2019-01-09
2019-26-0183
Vehicles have a wide range of resonance band due to design nature & characteristics of its aggregates. First order, vehicle speed dependent, wheel disturbance due to wheel imbalances can result in excitation of different vehicle aggregates. Steering wobble refers specifically to first order road wheel excitation effects, in frequency range of 10-16 Hz, that manifest themselves as significant steering wheel torsional vibrations at highway speeds i.e. at the range of 80 km/h to 120 km/h on smooth roads. The tire, being an elastic body analogous to an array of radial springs, may exhibit variations in stiffness about its circumference; hence, it may vibrate at different frequencies due to wheel imbalance. This paper introduces dynamic steering wobble analysis methodology either using vehicle speed at Discrete (individual speeds) or by Sweep (low to high speed) method to investigate steering wobble in the virtual environment using the full vehicle MBD model.
Technical Paper

Derivation of Test Schedule for Jerk Test on Manual Gearbox Using Road Load Data

2019-01-09
2019-26-0347
Shock loads/Jerk is a major cause of gearbox failure which occurs during abusive driving condition. In passenger car torque spikes are experienced by the transmission during launch/sudden clutch release events on flat road or off-road. Whereas, in case of commercial vehicle torque spikes are generated while operation in mines and off-road application especially in tipper vehicles. Torque spikes experienced by the gearbox can lead to gear failure, gear slippage and structural failure of housing. Research has been done till now to improve the design of gearbox to address such failures. However, with increased focus on transmission downsizing and improved vehicle performance (by weight reduction and more powerful engine) it is necessary to have optimum design to meet transmission life. This paper discuss the test setup and methodology used to simulate the torque spikes on test bench. To develop the test procedure huge data was collected on commercial vehicles.
Technical Paper

Evaluation of Potential Benefit of 6 × 2 Over 6 × 4 Drive Mode to Improve the Fuel Economy on Heavy Commercial Vehicle

2009-04-20
2009-01-1359
Reduction in the drivetrain losses of a vehicle is one of the important contributing factors to amplify the fuel economy of vehicle, particularly in heavy commercial vehicle. The conversion of 6 × 4 drive vehicle into 6 × 2 drive has a benefit of improving the fuel economy of a vehicle by reducing the drivetrain losses occurring in the second rear axle. It was cultured by calculation that in 6 × 2 drive the tractive force available at the wheels, of heavy commercial vehicle with GVW of 44 tons and above, will be much higher than the frictional force transmission capacity of tires, when the engine is producing peak torque on the driving duty cycle like going on steep gradient road. In such situations the tires will start to slip and may result in deteriorating the fuel economy and excessive tire wear. On the other side the flat road driving duty cycle in 6 × 2 drive will give better fuel economy than 6 × 4 drive.
Technical Paper

Multivariate Analysis to Assess the Repeatability of Real World Tests

2016-04-05
2016-01-0320
In the automotive industry, multiple prototypes are used for vehicle development purposes. These prototypes are typically put through rigorous testing, both under accelerated and real world conditions, to ensure that all the problems related to design, manufacturing, process etc. are identified and solved before it reaches the hands of the customer. One of the challenges faced in testing, is the low repeatability of the real world tests. This may be predominantly due to changes in the test conditions over a period of time like road, traffic, climate etc. Estimating the repeatability of a real world test has been difficult due to the complex and multiple parameters that are usually involved in a vehicle level test and the time correlation between different runs of a real world test does not exist. In such a scenario, the popular and the well-known univariate correlation methods do not yield the best results.
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