부산대학교 도서관

The design optimization of a robust, low-cost, and high-quality permanent magnet actuator (PMA) that meets the requirements of industrial applications presents numerous challenges. In particular, uncertainties arising from fabrication, assembly, and degradation are omnipresent and can produce erratic or infeasible solutions, complicating the robust design optimization (RDO) for PMAs. State-of-art RDO approaches treat these uncertainties as fixed contribution margins while disregarding the changes in the contribution margin, manufacturing cost, and life-cycle quality loss resulting from variations in uncertainty range and time-variant degradation. To address these issues, we propose a heuristic RDO approach for the batch production of PMAs that considers the manufacturing cost, life-cycle quality loss, and adaptive iterative step size to address these issues. Firstly, a unified manufacturing cost model is innovated to assess the complex component morphologies. Subsequently, a life-cycle dynamic quality loss model considering the time-variant degradation is established by applying the modified quality loss function, which can effectively track the losses caused by fluctuations in life-cycle quality. Based on the manufacturing cost and life-cycle quality loss models, a heuristic RDO approach with an adaptive iterative step size model is proposed, which automatically assigns the maximum bound of uncertainties and reduces the quality variation without significantly increasing manufacturing cost. Finally, a case study on a latching rotary PMA is used to illustrate the effectiveness of the proposed approach through simulation and experiment. This method achieves a 35.8% increase in robustness for batch-produced PMAs along with a 100% reduction in life-cycle quality losses at only a marginal increase of 5.9% in manufacturing costs.