Nine-Probe Third-Order Matrix System for Precise Flatness Error Detection

Large-scale, high-density flatness measurement is critical for manufacturing reference surfaces in ultra-precision machine tools. Traditional methods exhibit degradation in both accuracy and efficiency as measurement points and area size increase. In order to overcome these limitations to meet the requirements for integrated in-process measurement and machining of structural components in ultra-precision machine tools, this paper proposes a novel nine-probe third-order matrix system that integrates the Fine Sequential Three-Point (FSTRP) method with automated scanning path planning. The system utilizes a multi-probe error separation algorithm based on the FSTRP principle, combined with real-time adaptive sampling, to decouple machine tool motion errors from intrinsic workpiece flatness deviations. This system breaks through traditional multi-probe 1D straightness measurement limitations, enabling direct 2D flatness measurement (with X/Y error decoupling), higher sampling density, and a repeatability standard deviation of 0.32 μm for large precision machine tool components. This high-efficiency, high-precision solution is particularly suitable for automated flatness inspection of large-scale components, providing a reliable metrology solution for integrated measurement-machining of flatness on precision machine tool critical components.

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Publication Details

Journal
Machines
Published
2025-09-16
DOI
https://doi.org/10.3390/machines13090856
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Nine-Probe Third-Order Matrix System for Precise Flatness Error Detection

Zexin Peng, Jihong Chen, Yubin Huang, Huan Liu et al.
Machines
Advanced Surface Polishing Techniques
article

Nine-Probe Third-Order Matrix System for Precise Flatness Error Detection

Zexin Peng, Jihong Chen, Yubin Huang, Huan Liu, Han Ye, Xinyu Liu
article en

Abstract

Large-scale, high-density flatness measurement is critical for manufacturing reference surfaces in ultra-precision machine tools. Traditional methods exhibit degradation in both accuracy and efficiency as measurement points and area size increase. In order to overcome these limitations to meet the requirements for integrated in-process measurement and machining of structural components in ultra-precision machine tools, this paper proposes a novel nine-probe third-order matrix system that integrates the Fine Sequential Three-Point (FSTRP) method with automated scanning path planning. The system utilizes a multi-probe error separation algorithm based on the FSTRP principle, combined with real-time adaptive sampling, to decouple machine tool motion errors from intrinsic workpiece flatness deviations. This system breaks through traditional multi-probe 1D straightness measurement limitations, enabling direct 2D flatness measurement (with X/Y error decoupling), higher sampling density, and a repeatability standard deviation of 0.32 μm for large precision machine tool components. This high-efficiency, high-precision solution is particularly suitable for automated flatness inspection of large-scale components, providing a reliable metrology solution for integrated measurement-machining of flatness on precision machine tool critical components.

MachinesVol. 13(9)
Nanchang University (CN), Huazhong University of Science and Technology (CN)
Wuhan Science and Technology Project
Openalex Percentile: Top 76%
Advanced Surface Polishing Techniques
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Nine-Probe Third-Order Matrix System for Precise Flatness Error Detection — Zexin Peng, Jihong Chen, et al. · Machines (2025) | TGRS Research Map | TGRS