Abstract：
With the increase in the application of full-face tunnel boring machine (TBM) technology, TBM cutters have been developing rapidly, not only in large quantity but also in various types and forms, which meet the excavation needs in various strata, but also make the management, query, selection and design of cutters very complex and difficult. Therefore, it is imperative to establish a query recommendation system for the TBM cutters as well as a pedigree design idea of the cutters. On the basis of the analysis on information about cutter types, characteristics and applications, this paper establishes a pedigree of cutters of full-face TBMs in three dimensions: market demand, product characteristics and evolutionary lineage. Then, it puts forward the coding rules and designs the coding structure of the cutters of full-face TBMs according to the characteristic pedigree of cutters. Based on Microsoft Visual Studio, this paper builds a Windows application of query and recommendation system for TBM cutters, including query modules of cutters and project cases, as well as recommendation module of full-face TBM cutters based on an expert system. The research results could not only help manufacturers to design the cutters according to the feature classifi? cation and development process, but also help engineers reasonably select and configure cutters by using the query recommendation system.
HUANG Hongying GUAN Huisheng ZHAO Kang LIU Cheng
.Research on Pedigree-based Design and Query Recommendation System of Cutters of Full-Face Tunnel Boring Machines[J] MODERN TUNNELLING TECHNOLOGY, 2021,V58(5): 213-220
2021, Vol. 58 