Module partition for mechanical CAD assembly model based on multi-source correlation information and community detection

Abstract

To solve the problem of difficulty in mechanical CAD assembly model retrieval and low level of the model reuse, provide effective support for module reuse in assembly model, a novel module partition method for mechanical CAD assembly model is proposed. Firstly, the correlation strength between assembled parts is analyzed and evaluated based on multi-source correlation information including assembly structure, function and flows. Then, the weighted network is constructed for expressing correlation relationships between assembled parts in the assembly model. After that, a community detection algorithm upon greedy thought is given to discover communities in weighted network, thereby realizing the modularization of mechanical CAD assembly model. Finally, two CAD assembly models are employed to verify feasibility and effectiveness of the proposed method.

Keywords

• cad assembly model
• weighted network
• multi-source correlation information
• module partition
• community detection