Minimization of IC engine rubber mount displacement using genetic algorithm

Though many computationally expensive internal combustion engine vibration models are available, simple and computationally efficient tools are required for preliminary design work. The unbalanced forces of rotating and reciprocating parts are the primary sources for the engine vibrations which in turn reduce the durability and reliability of consumer and commercial automotives. So, a significant vibration isolation is needed for both engine and interface between the engine mounts, and it could be obtained with the help of rotating balancing disks attached at both ends of the crank shaft. The masses of the balancing disks and their lead angles influence the effectiveness of vibration isolation that can be measured by the engine mount displacement caused due to engine vibrations. The optimized masses of balancing disks and their lead angles minimize the engine mount displacements that ensure the effective vibration isolation. In this paper, the genetic algorithm is employed to optimize the masses of the balancing disks and their lead angles with an objective of minimizing the engine mount displacements.