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Balancing Optimization of a Motorcycle Engine Crankshaft for Vibration Reduction Mahindra Two Wheelers Limited

SAE Technical Papers (1906-current) Available online

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Format:
Conference/Event
Author/Creator:
Ganguly, Ganguly, author.
Contributor:
Agarwal, Vikas Kumar
Bhatia, Niket
Mohite, Ulhas
Conference Name:
SAE 2016 World Congress and Exhibition (2016-04-12 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource
Place of Publication:
Warrendale, PA SAE International 2016
Summary:
AbstractWith ride comfort in a motorcycle gaining significance, it is important to minimize vibration levels at the customer touch points. The reciprocating piston imparts rotary motion to the crankshaft which in turn induces unbalance forces and produces vibration in the vehicle, thus influencing the ride quality. Generally, the primary inertial forces are balanced by a combination of balancer body and crank web. However, being a commuter bike, a balancer body could not be accommodated due to cost and space constraints. In such scenario, the first order unbalance force cannot be completely eliminated but can only be redistributed by adding counterweight to the crankshaft. Proper distribution of these forces is required for optimum vibration levels at motorcycle touch sensitive points (TSP) such as handle bar, footrest et ceteraIn the current study, crankshaft of a single cylinder motorcycle engine is optimized for balancing to reduce vibration at the TSP through multi body dynamics (MBD) and finite element (FE) simulation tools. The complete crank train comprising of piston assembly, connecting rod, bearing, crankpin and crankshafts are modelled with accurate mass and inertia in a commercially available MBD software. Crankshaft balancing factor and the angle of unbalance force are varied by changing different design parameters of the crankshaft such as web radius and width, modification in shape et cetera Inertia forces at engine mounting locations due to the first order unbalance of crankshaft are predicted using MBD simulation. These forces are then given as input to full vehicle FE model to predict the vibration response at TSP for the operating speed range of vehicle. Crankshaft design is finalized based on optimal vibration response at TSP
Notes:
Vendor supplied data
Publisher Number:
2016-01-1060
Access Restriction:
Restricted for use by site license

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