Weight-Vibration Pareto Optimization of a Triple Mass Flywheel for Heavy-Duty Truck Powertrains
Journal article, 2020

Enhanced efficiency of heavy-duty truck powertrains with constraints imposed on noise, vibration, and harshness requires novel solutions for torsion vibrations attenuation. In the paper, the weight-vibration Pareto optimization problem for a novel vibration absorber, a triple mass flywheel, for application in heavy-duty truck powertrains is considered. Global sensitivity analysis and Pareto optimization method are used to design a novel vibration absorber. The optimization method attempts to minimize oscillations of the torque at the transmission input shaft as well as to minimize total mass inertia of the absorber. It is shown that there exists a Pareto front between the measure of the attenuation of oscillations of the torque and the total mass inertia of a triple mass flywheel. The optimized design parameters for the absorber are obtained that provide the best attenuation of oscillations of the torque at the transmission input shaft for di erent mean values of the engine driving torque. The analysis shows real evidence of the feasibility of the application of this concept of vibration absorbers in heavy-duty truck powertrains. It is also shown that optimized design parameters of a triple mass flywheel put this concept in a superior position in comparison with a dual mass flywheel.

weight-vibration Pareto optimization

triple mass flywheel

dual mass flywheel

torsional vibration absorbers

heavy-duty truck powertrain

Author

Viktor Berbyuk

Chalmers, Mechanics and Maritime Sciences (M2), Dynamics

Machines

20751702 (eISSN)

Vol. 8 3, 50 1-13

Reduced vibration transmissions - reduced energy consumption and environmental impacts together with an increased competitiveness

Swedish Energy Agency (ScaniaCVAB), 2016-04-01 -- 2020-03-31.

Areas of Advance

Transport

Subject Categories

Applied Mechanics

Vehicle Engineering

DOI

10.3390/machines8030050

More information

Latest update

3/21/2023