A hybrid comprehensive performance evaluation approach of cutter holder for tunnel boring machine

层次分析法 排名(信息检索) 工程类 模糊逻辑 多准则决策分析 规范化(社会学) 选择(遗传算法) 过程(计算) 组分(热力学) 可靠性工程 计算机科学 工业工程 机器学习 运筹学 人工智能 物理 社会学 人类学 热力学 操作系统
作者
Ming‐Chung Yang,Zhiyong Ji,Ling Zhang,Aiwu Zhang,Yimin Xia
出处
期刊:Advanced Engineering Informatics [Elsevier BV]
卷期号:52: 101546-101546 被引量:18
标识
DOI:10.1016/j.aei.2022.101546
摘要

Cutter holder is a crucial component of tunnel boring machine (TBM), whose performance evaluation and selection needs to consider many factors, which is a challenging Multiple criteria decision-making (MCDM) problem. To enhance the TBM overall construction manifestation, it is fundamental to synthetically evaluate and accurately select the most suitable cutter holder from alternatives according to the engineering requirements and geological conditions. This paper develops a hybrid fuzzy comprehensive evaluation approach for cutter holder. In this approach, the weights of criteria are determined by Fuzzy Analytic Hierarchy Process (FAHP), and the max-min linear normalization is employed to integrate the information of qualitative and quantitative indicators of alternatives. Finally, the ranking and further comparison are achieved in the form of radar chart. A case study of cutter holder selection from six alternatives is carried out to validate the proposed approach. It shows that the proposed approach is effective, reasonable, complete and easy to operate, which can be promoted to the evaluation and selection of non-standard crucial components for large mechanical engineering equipment.
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