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A generalized measurement method of bending and torsional deformation for ball screws using bending-torsion decoupling

Abstract:
Bending and torsional deformation of ball screws affect lead accuracy through distinct mechanisms and require separate evaluation for effective quality inspection and condition monitoring. However, both deformation modes coexist along the screw shaft and are coupled in the measured surface geometry, so that existing methods addressing them independently cannot provide reliable results under coupled conditions. This paper proposes a generalized method for measuring ball screw bending and torsional deformation when bending and torsion are coupled. An analytical model reconstructs the ideal screw surface directly from structural parameters and represents bending eccentricity and torsional angle as parametric functions along the rotational axis. Continuous rotational measurement is employed to acquire full-stroke three-dimensional surface point clouds, and a successive iterative least-squares algorithm is developed to jointly identify bending and torsion from the measured data. Numerical simulations on screws with different sizes, deformation modes, and noise levels confirm that the method maintains high identification accuracy and stability. Furthermore, an effective filtering method is introduced to suppress noise in the measured surface signals and improve the robustness of parameter identification. Experiments on three ball screws demonstrate good agreement with vision-based bending measurement and section-wise torsion comparison, confirming the method’s engineering applicability. The method enables decoupled extraction of bending and torsion components and provides a practical route for full-stroke quality inspection, process-oriented deformation evaluation, and condition monitoring of ball screws in manufacturing and service.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.measurement.2026.121991

Authors

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Role:
Author
ORCID:
0000-0003-1619-2580
More by this author
Role:
Author
ORCID:
0000-0002-3982-888X


Publisher:
Elsevier
Journal:
Measurement More from this journal
Volume:
282
Article number:
121991
Publication date:
2026-05-25
Acceptance date:
2026-05-20
DOI:
EISSN:
1873-412X
ISSN:
0263-2241


Language:
English
Keywords:
Pubs id:
2426460
Local pid:
pubs:2426460
Deposit date:
2026-05-29
ARK identifier:

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