Redo of Coil Spring Considering Transversal Direction Mode Tracking

When the values of design variables change, mode switching can often occur. If the mode of interest is not tracked, the frequencies and modes for design optimization may be miscalculated owing to modes that differ from the intended ones. Thus, mode tracking must be employed to identify the frequencies and modes of interest whenever the values of design variables change during optimization. Furthermore, reliability-based design optimization (Redo) must be performed for design problems with design variables containing uncertainty. In this research, we perform Redo considering the mode tracking of a compressive coil spring, i.e., a component of the joint spring that supports a compressor, with design variables containing uncertainty by using only kriging meta models based on multiple responses approach (MR A) without existing mode tracking methods. The reliability analyses for Redo are employed using kriging meta model-based Monte Carlo simulation