Reconstruction algorithm for obtaining the bending deformation of the base of heavy-duty machine tool using inverse Finite Element Method

• Autorzy: Liu M. , Zhang X. , Song H. , Wang J. , Zhou S.

Identyfikatory

DOI

10.24425/mms.2018.124878

• Języki publikacji: EN

Abstrakty

EN

The field of mechanical manufacturing is becoming more and more demanding on machining accuracy. It is essential to monitor and compensate the deformation of structural parts of a heavy-duty machine tool. The deformation of the base of a heavy-duty machine tool is an important factor that affects machining accuracy. The base is statically indeterminate and complex in load. It is difficult to reconstruct deformation by traditional methods. A reconstruction algorithm for determining bending deformation of the base of a heavy-duty machine tool using inverse Finite Element Method (iFEM) is presented. The base is equivalent to a multi-span beam which is divided into beam elements with support points as nodes. The deflection polynomial order of each element is analysed. According to the boundary conditions, the deformation compatibility conditions and the strain data measured by Fiber Bragg Grating (FBG), the deflection polynomial coefficients of a beam element are determined. Using the coordinate transformation, the deflection equation of the base is obtained. Both numerical verification and experiment were carried out. The deflection obtained by the reconstruction algorithm using iFEM and the actual deflection measured by laser displacement sensors were compared. The accuracy of the reconstruction algorithm is verified.

Słowa kluczowe

EN

inverse Finite Element Method; bending deformation; heavy-duty machine tool; reconstruction algorithm; statically indeterminate structure

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2018
• Tom: Vol. 25, nr 4
• Strony: 727--741
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr., wzory

Twórcy

autor

Liu M.

• Wuhan University of Technology, School of Mechanical and Electrical Engineering, Wuhan 430070, Hubei, China
• Hubei Digital Manufacturing Key Laboratory, Wuhan 430070, Hubei, China

autor

Zhang X.

• Wuhan University of Technology, School of Mechanical and Electrical Engineering, Wuhan 430070, Hubei, China
• Hubei Digital Manufacturing Key Laboratory, Wuhan 430070, Hubei, China

autor

Song H.

• Wuhan University of Technology, School of Mechanical and Electrical Engineering, Wuhan 430070, Hubei, China
• Hubei Digital Manufacturing Key Laboratory, Wuhan 430070, Hubei, China

autor

Wang J.

• Wuhan University of Technology, School of Mechanical and Electrical Engineering, Wuhan 430070, Hubei, China
• Hubei Digital Manufacturing Key Laboratory, Wuhan 430070, Hubei, China

autor

Zhou S.

• Wuhan University of Technology, School of Mechanical and Electrical Engineering, Wuhan 430070, Hubei, China
• Hubei Digital Manufacturing Key Laboratory, Wuhan 430070, Hubei, China

Bibliografia

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Uwagi

EN

1. This experimental study was supported by the National Natural Science Fund of China (General Program, Grant #51375359), the International Cooperation Project of Hubei (Grant #2015DFA70340) and the Excellent Dissertation Cultivation Funds of Wuhan University of Technology (Grant #2016-YS-030). The authors would like to thank Hubei Digital Manufacturing Key Laboratory (Wuhan University of Technology) for providing the experiment equipment to accomplish the project. The authors also wish to gratefully acknowledge the assistance of Lan Feng, Dong Ai, Yuanming Fang, Wei Chen and Xuemin Zhang in the experiment.

PL

2. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).