Affiliation:
1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
2. Institute of Standardization Theory and Strategy, China National Institute of Standardization, Beijing 100191, China
Abstract
An assembly sequence evaluation is one of the most important research directions of assembly sequence planning (ASP) for complex mechanical transmission products. Currently, aviation reducers lack a multi-perspective and multi-level evaluation of their assembly sequence. The existing evaluation indicators vary. The evaluation methods have low effectiveness and poor practicability. Therefore, a comprehensive multidimensional evaluation method for complex assembly sequences is proposed in this paper. A multidimensional comprehensive evaluation of the overall assembly quality and performance indices of aviation reducer products is realized. Firstly, the main factors affecting assembly sequence planning are considered: the attributes of the basic unit parts and the cost control of the assembly process. An evaluation index system of assembly sequence planning based on the two dimensions of assembly cost and ontology is constructed. Then, according to the multidimensional evaluation index, fuzzy evaluation theory is used to establish a fuzzy set and a matrix for each dimensional evaluation index. The index weight is divided. A comprehensive evaluation model and the function of each dimension are established. After a comprehensive evaluation, the multidimensional assembly sequence evaluation method for aviation reducers is formed. Finally, the method is applied to the assembly process of the primary reducer of a helicopter’s main reducer, and a comprehensive evaluation of its assembly sequence scheme is completed to verify the feasibility of the proposed method. This article constructs a complex assembly sequence evaluation method that includes 12 evaluation indicators, improves the assembly sequence planning evaluation index system of aviation reducers, and can effectively promote the progress of optimization technology for complex assembly sequences of aviation reducers.
Reference35 articles.
1. Fangni, B. (2000). Research on Digital Product Assembly Sequence Generation Algorithm and Related Technology. [Doctoral Thesis, Northwest University of Technology].
2. A novel hybrid algorithm for assembly sequence planning combining bacterial chemotaxis with genetic algorithm;Zhou;Int. J. Adv. Manuf. Technol.,2011
3. Tang, J.J. (2014). Research on Aircraft Assembly Process Design and Optimization Technology Based on Precision Control. [Doctoral Thesis, Northwest University of Technology].
4. A correct and complete algorithm for the generation of mechanical assembly sequences;Homem;Rob. Auto IEEE Tran.,1991
5. Automated sequencing and subassembly detection in assembly planning;Dini;CIRP Ann.-Manuf. Technol.,1992