Evidence map›Paper›PMID 36295934›Full record

ArticleMicromachines2022

Output-Only Time-Varying Modal Parameter Identification Method Based on the TARMAX Model for the Milling of a Thin-Walled Workpiece.

Junjin Ma, Xinhong Yan, Yunfei Li, Haoming Li, Yujie Li, Xiaoyan Pang

Abstract read
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Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Junjin MaSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China.
Xinhong YanSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China.
Yunfei LiSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China.
Haoming LiSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China.
Yujie LiSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China.
Xiaoyan PangCollege of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China.

Funding

Doctor Foundation from Henan Polytechnic University B2019-49Foundation of Henan Educational Committee 20A460016National Natural Science Foundation of China 52005166National Science Fund for Distinguished Young Scholars of Henan Polytechnic University J2022-5Postdoctoral Research Foundation of China 2019M652534Young Backbone Teachers Foundation Scheme of Henan Polytechnic University 2019XQG-01
6 · The paper itself

Abstract

The process parameters chosen for high-performance machining in the milling of a thin-walled workpiece are determined by a stability prediction model, which needs accurate modal parameters of the machining system. However, the in-process modal parameters are different from the offline modal parameters and are difficult to precisely obtain due to material removal. To address this problem, an accurate time-dependent autoregressive moving average with an exogenous input (TARMAX) method is proposed for the identification of the modal parameters in the milling of a thin-walled workpiece. In this process, a TARMAX model considering external force excitation is constructed to characterize the actual condition in the milling of a thin-walled workpiece. Then, recursive method and sliding window recursive method are used to identify TARMAX model parameters under time-varying cutting conditions. Subsequently, a three-degree of freedom (3-DOF) time-varying structure numerical model under theoretical milling forces and white-noise excitation is established, and the computational results show that the predicted natural frequencies using the proposed method are in close agreement with the simulated values. Finally, several experiments are designed and carried out to validate the effectiveness of the proposed method. The experimental results show that the predicted accuracy of the proposed method using actual cutting forces is 95.68%. Good agreement has been drawn in the numerical simulation and machining experiments. Our further research objectives will focus on the prediction of the damping ratios, modal stiffness, and modal mass.

Indexed as

machining dynamicsmillingmodal identificationnatural frequencythin-walled parts

Identifiers

PMID36295934
PMCPMC9608323

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