Modeling of Fixed Joints Stiffness Based on Modified Least-Square

Ming De Duan; Hao Liang Feng; Kang Hua Liu; Jun Yong Lu

doi:10.4028/www.scientific.net/AMM.536-537.1365

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 536-537Modeling of Fixed Joints Stiffness Based on...

Modeling of Fixed Joints Stiffness Based on Modified Least-Square

Abstract:

According to experimental data, the model of fixed Joints stiffness in machine tools was built by least square of relative error. The new regression equations were obtained by regression analysis. Compared to the original equations with Gaussian least-square, the relative error of new regression equations is within 3.5%, which reduces by 12.5% and the mean absolute percentage error (MAPE) decreases by 18.0%, 12.4%and 19.0% respectively.

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Periodical:

Applied Mechanics and Materials (Volumes 536-537)

Pages:

1365-1368

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.536-537.1365

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Online since:

April 2014

Authors:

Ming De Duan, Hao Liang Feng, Kang Hua Liu, Jun Yong Lu

Keywords:

Fixed Joints Stiffness, Least Square of Relative Error, Machine Tool, Mean Absolute Percentage Error

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