Fixing Unit Design Method Using Surrogate Models and Multi-Objective Optimization

Abstract

It is required to develop efficient design methods that find virtually good configurations of the fixing unit from the upstream design. However, it is not easy to realize the design that satisfies product specifications due to many trade-offs between performances. When a fixing unit is designed virtually, detailed performance evaluations by numerical analyses are required because nonlinear phenomena occur in the fixing unit. To find optimal configurations, it is difficult to evaluate many configurations because it requires a huge amount of analysis time. This paper reports a design method of optimal fixing units by using surrogate models and multi-objective optimization.