TY - JOUR
T1 - Design optimization for the magnetic engine valve actuator
AU - Soh, Hyun Jun
AU - Park, Soon Ok
AU - Yoo, Jeonghoon
PY - 2009/6
Y1 - 2009/6
N2 - As the automobile energy efficiency stands out an important matter of interest, the magnetic engine valve system receives attention. It has an advantage of no engine power leakage in opening and closing the valve. Moreover, it generates much bigger force than the piezo actuator system, so it can be a good alternative system of the cam and camshaft system. However, since the valve system is not light enough, it is necessary to make its weight reduce. In this study, topology optimization is applied to find the optimal shape of the armature in a magnetic valve system combined with the finite element analysis for the magnetic field analysis. The result is used to obtain a concept design. The adjoint variable method is employed in order to calculate the design sensitivity of the magnetic driving force in the armature component mostly to reduce the computational time during the repeated sensitivity calculation. The sequential linear programming is employed for the optimization algorithm.
AB - As the automobile energy efficiency stands out an important matter of interest, the magnetic engine valve system receives attention. It has an advantage of no engine power leakage in opening and closing the valve. Moreover, it generates much bigger force than the piezo actuator system, so it can be a good alternative system of the cam and camshaft system. However, since the valve system is not light enough, it is necessary to make its weight reduce. In this study, topology optimization is applied to find the optimal shape of the armature in a magnetic valve system combined with the finite element analysis for the magnetic field analysis. The result is used to obtain a concept design. The adjoint variable method is employed in order to calculate the design sensitivity of the magnetic driving force in the armature component mostly to reduce the computational time during the repeated sensitivity calculation. The sequential linear programming is employed for the optimization algorithm.
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U2 - 10.3795/KSME-A.2009.33.6.584
DO - 10.3795/KSME-A.2009.33.6.584
M3 - Article
AN - SCOPUS:68049137579
SN - 1226-4873
VL - 33
SP - 584
EP - 589
JO - Transactions of the Korean Society of Mechanical Engineers, A
JF - Transactions of the Korean Society of Mechanical Engineers, A
IS - 6
ER -