Mutsumi Yoshino

SQC and Digital Engineering

Simulation experiments in Computer Aided Engineering (CAE) has been developing tecnologies. The application of Design of Experiments (DOE) to simulation experiments, which derives optimum parameters efficiently, is becoming as popular as actual experiments. However, some statistics point out that there are many misuses of the application of DOE in CAE. One of the main reasons is the lack of systematic procedure for it. Specifically, while technical development in the optimization problems is crucially required, the practice of optimization generally depends on experimental or institutional skills of the CAE engineers. Regrettably, the latent optimization problem has not been fully discussed. This paper focuses on it and aims to obtain a structure by reviewing the practical procedures. The final report of this paper is summarized in a table that suggests a direction of effective application of DOE in CAE.

Application of DOE to Computer-Aided Engineering

The simulation experiment by Computer-Aided Engineering (CAE) has been developing instead of the actual experiment and it is surely one of the powerful supports to the concurrent engineering. In the actual CAE working, however, some issues on the simulation results appear. How to cope with them often depends on some experimental or institutional skill of the CAE engineers. It may be an obstacle to progress of the reduction of lead-time. In this article, we indicate some serious issues on CAE working. Especially, we take up calibration to recover inconsistency of the numerical solutions by simulation experiment with the results of actual experiment. We propose how to cope with calibration by using DOE.