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Digital twin-oriented dynamic optimization of multi-process route based on improved hybrid ant colony algorithm
Chen, Zhaoming1,2; Zou, Jinsong3; Wang, Wei4
2024-05-01
摘要To improve the dynamic adaptability and flexibility of the process route during manufacturing, a dynamic optimization method of the multi-process route based on an improved ant colony algorithm driven by digital twin is proposed. Firstly, based on the analysis of the features of the manufacturing part, the machining methods of each process are selected, and the fuzzy precedence constraint relationship between machining metas and processes is constructed by intuitionistic fuzzy information. Then, the multi-objective optimization function driven by the digital twin is established with the optimization objectives of least manufacturing cost and lowest carbon emission, also the ranking of processing methods is optimized by an improved adaptive ant colony algorithm to seek the optimal processing sequence. Finally, the transmission shaft of some equipment is taken as an engineering example for verification analysis, which shows that this method can obtain a process route that gets closer to practical production.
关键词digital twin multi-process route intuitionistic fuzzy information adaptive ant colony algorithm optimization
DOI10.24425/bpasts.2024.148875
发表期刊BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES
ISSN0239-7528
卷号72期号:3页码:9
通讯作者Chen, Zhaoming(zhaomingc_sc@163.com)
收录类别SCI
WOS记录号WOS:001283665700004
语种英语