Research on Extracting Rule for Structure Optimal Design of Mechanical Products Based on Date Mining and Knowledge Discovery

The relationship between parameter configurations of mechanical products are the main design rules that affect their work performance and the major factor that optimize product structure. However, the actual relationship of parameter configurations can´t be gotten directly in the design specifications or the manual. Physical experimental methods are difficult to implement due to long cycle and high costs. To solve this problem, basing on analyzing the optimal design method, data mining principle and technology of knowledge discovery, the knowledge discovery prototype system is established of the machinery finite element simulation results. At last, the corresponding rules of structural optimal design of mechanical products are distilled from a large number of finite element simulation results by adopting the system combined with rough set theory. Using the door frame which is the important bearing part of gantry sluice gate hoist as an example to verify the results match the actual.