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Dynamic response analysis of block based on dynamics of flexible multi-body and hydrodynamic lubrication of crankshaft system

Guo Chang-li

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Abstract

The dynamics analytical model of crankshaft system Flexible Multi-Body of a 8—cylinder diesel considering hydrodynamic lubrication was established.Main excitations of dynamic properties analy-sis-reaction force of main bearing and reaction force of the piston thrust—of the block were found out by analysis.And the vibration response of this block was calculated under the action of these excitation forces.The vibration velocity of every panel point of block was obtained,and thus provided a foundation for the low noise design.

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The dynamics analytical model of crankshaft system Flexible Multi-Body of a 8—cylinder diesel considering hydrodynamic lubrication was established.Main excitations of dynamic properties analy-sis-reaction force of main bearing and reaction force of the piston thrust—of the block were found out by analysis.And the vibration response of this block was calculated under the action of these excitation forces.The vibration velocity of every panel point of block was obtained,and thus provided a foundation for the low noise design.

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Available abstract

The dynamics analytical model of crankshaft system Flexible Multi-Body of a 8—cylinder diesel considering hydrodynamic lubrication was established.Main excitations of dynamic properties analy-sis-reaction force of main bearing and reaction force of the piston thrust—of the block were found out by analysis.And the vibration response of this block was calculated under the action of these excitation forces.The vibration velocity of every panel point of block was obtained,and thus provided a foundation for the low noise design.

Key concepts: Crankshaft, Cylinder block, Piston (optics), Vibration, Lubrication, Block (permutation group theory), Cylinder, Main bearing

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Dynamic response analysis of block based on dynamics of flexible multi-body and hydrodynamic lubrication of crankshaft system — Research Paper | ScholarLens