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Research progress on machining deformation of thin-walled parts in milling process
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2022 (English)In: Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, ISSN 1000-6893, Vol. 43, no 4, article id 525164Article in journal (Refereed) Published
Abstract [en]

With the development of machine tool machining performance and tool cutting performance, thin-walled parts can be machined with high efficiency and precision, leading to their wide use in the aerospace field. The complex structure and low rigidity of thin-walled parts make them easy to deform in the milling process. Therefore, accurate prediction and control of thin-walled parts deformation is an urgent technical problem to be solved in the field of machining. Through classification of thin-walled parts and analysis of the processing technologies, the factors causing the deformation of thin-walled parts are summarized, and the most basic calculation model of milling force is briefly introduced. Research on deformation prediction and control methods of thin-walled parts at home and abroad is reviewed. It is found that deformation of thin-walled parts is predicted by using the elastic-plastic theory and the numerical simulation method, and deformation of thin-walled parts is controlled by process optimization, auxiliary support technology, high-speed cutting technology and numerical control compensation technology. Based on update and iteration of data-driven digital twins, deformation prediction and control of the actual processing of thin-walled parts are realized. The theoretical framework of deformation prediction and control of thin-walled parts processing is built based on digital twins. Development and application prospects of digital twinning deformation prediction and control in thin-walled parts processing are also discussed. 

Place, publisher, year, edition, pages
Chinese Society of Astronautics , 2022. Vol. 43, no 4, article id 525164
Keywords [en]
Digital twins, Machining deformation, Milling force model, Prediction and control of deformation, Thin-walled parts, Elastoplasticity, Forecasting, Iterative methods, Machine tools, Milling (machining), Numerical methods, Optimization, Process control, Thin walled structures, Deformation control, Deformation's predictions, Machining performance, Milling forces models, Milling process, Prediction and control, Tool machining, Deformation
National Category
Other Mechanical Engineering Reliability and Maintenance
Identifiers
URN: urn:nbn:se:kth:diva-313610DOI: 10.7527/S1000-6893.2021.25164Scopus ID: 2-s2.0-85121288810OAI: oai:DiVA.org:kth-313610DiVA, id: diva2:1667207
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QC 20220610

Available from: 2022-06-10 Created: 2022-06-10 Last updated: 2022-06-25Bibliographically approved

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Wang, Lihui

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  • apa
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