Robust optimization based on knowledge discovery from metal forming simulation

Knowledge-based engineering (KBE) and numerical simulation technology has been used widely in metal forming area. However, the knowledge discovery keeps bottleneck yet in building knowledge base in KBE. To properly understand the results of numerical simulation and obtain robust optimization parameter, a lot of knowledge and experience is also needed. The paper presented a new robust optimization method based on knowledge discovery from numerical simulation. Firstly, a framework of robust optimization based on knowledge discovery from simulation is proposed. Secondly, a data-mining algorithm is developed to deal with the data of numerical simulation. Finally, based on the result of knowledge discovery, robust optimization model is established and solved to obtain the robust optimization parameter.